Bandwidth Sharing Scheme in DiffServ-aware MPLS Networks

Save this PDF as:
 WORD  PNG  TXT  JPG

Size: px
Start display at page:

Download "Bandwidth Sharing Scheme in DiffServ-aware MPLS Networks"

Transcription

1 Proceedings of the 2007 IEEE International Conference on Telecommunications and Malaysia International Conference on Communications, May 2007, Penang, Malaysia Bandwidth Sharing Scheme in DiffServ-aware MPLS Networks Norashidah Md Din *, Hazlinda Hakimie * and Norsheila Fisal η * Department of Electrical Engineering, College of Engineering, Universiti Tenaga Nasional, KM 7, Jalan Kajang-Puchong, Kajang, Selangor, Malaysia { norashidah, η Telekom s Laboratory, Faculty of Electrical Engineering Universiti Teknologi Malaysia, Skudai, Johor Bahru, Malaysia fke.utm.my Abstract This paper proposes a bandwidth sharing scheme for DiffServ-aware MPLS networks based on the Russian Dolls bandwidth allocation model. Three DiffServ traffic class types were used in the DiffServ-aware MPLS network under study, i.e. real time constant bit rate premium, real time variable bit rate assured and non-real time best effort traffic. We propose a preemption scheme based on rerouting or resizing of the longest existing flow first. A simulation study using ns-2 was performed for the scheme. An analysis was made to show the significance of borrowing and preemption in the environment. The results show significant improvement in terms of blocking probability when both borrowing and preemption are used. Keywords DiffServ, Triple Play, Russian Doll,,Bandwidth Sharing Preemption I. INTRODUCTION Traffic engineering is essential for optimum use of transmission capacity and making networks resilient so that they can withstand link or node failures. Multiprotocol Label Switching (MPLS) [1, 2 and 3], traffic engineering ideally routes traffic flows across a network based on the resources the traffic flow requires and the resources available in the network. Path preemption is also possible in MPLS where an existing path can be discontinued so that a higher priority path may be established. The path taken can be reserved through a signalling protocol like RSVP-TE or by using constraintbased routing. RSVP-TE establishes Label Switched Paths (LSPs) in MPLS through path reservation. Constraint-based routing on the other hand ascertains a path that satisfies some constraints of interest like delay, jitter, throughput or loss besides finding for the shortest path only. An important feature of MPLS is the ability to set up LSPs for different services. Differentiated Services (DiffServ) [4] technology can complement it in providing the service differentiation required. By mapping the DiffServ traffic to the MPLS LSPs, DiffServ-aware MPLS networks can treat the traffic according to the traffic class. Bandwidth constraint models have been proposed for DiffServ-aware MPLS environment [5, 6 and 7]. This work proposes an implementation using Russian Dolls bandwidth allocation model. Section II covers related work in bandwidth allocation models whereas Section III describes the bandwidth sharing algorithm with Russian Dolls bandwidth allocation model. Section IV discusses the simulation work and Section V the conclusion. II. BANDWIDTH ALLOCATION MODELS Currently, three bandwidth constraint models for DiffServenabled MPLS traffic engineering have been provisioned in IETF. The first is the maximum allocation bandwidth constraints model as described in RFC 4125 [5] consist of allocation of bandwidth constraint for each traffic class and a maximum reserved bandwidth value normally associated to link capacity. The summation of the bandwidth constraints can exceed the maximum reserved bandwidth. The higher priority traffic can preempt the lower priority traffic to get their full allocated bandwidth. For example, in a scenario where voice traffic class is allocated a bandwidth constraint of 1.5Gbps, data traffic class is allocated a bandwidth constraint of 2.0 Gbps and the maximum reserved bandwidth is allocated 3.0 Gbps, the aggregate of voice and data traffic would then be limited to 3.0Gbps. The voice LSPs always has higher preemption priority in order to use the 1.5 Gbps capacity. The voice LSPs will preempt the data LSPs to /07/$ IEEE. 782

2 achieve this. The data LSPs can use up to link capacity of the bandwidth left by the voice LSPs. The second model is the maximum allocation plus bandwidth reservation and protection mechanism as defined in RFC 4126 [6] model is similar to the maximum allocation bandwidth constraints model above in that a maximum bandwidth allocation is given to each traffic class type. However, through the use of bandwidth reservation and protection mechanisms, each traffic class type is only allowed to exceed their bandwidth allocations under conditions of no congestion and need to their allocated bandwidths when overload and congestion occurs. The third model introduced was the Russian Dolls bandwidth constraints model as outlined in RFC 4127 [7] consist of allocation of bandwidth constraint for each traffic class with a maximum of eight class types. The maximum allowable bandwidth usage is done cumulatively by grouping successive class types according to priority class. A lower priority class can use higher priority class bandwidth up to the summation of their bandwidth constraints values. The higher priority traffic can preempt the lower priority traffic to get their full allocated bandwidth. For example, in a scenario where voice traffic class is allocated a bandwidth constraint of 1.5Gbps, data traffic class is allocated a bandwidth constraint of 3.0 Gbps, the aggregate of voice and data traffic would then be limited to 3.0Gbps. The voice LSPs are confined to 1.5 Gbps capacity. The voice LSPs will preempt the data LSPs when necessary to achieve this. The data LSPs can use up to link capacity of the bandwidth left by the voice LSPs. In RFC 4128 [8], a performance analysis for the Russian Dolls and maximum allocation models are described. The general theme of the investigation is the trade-off between bandwidth sharing to achieve greater efficiency under normal conditions, and to achieve robust class protection/isolation under overload. The Russian Dolls model was found to allow greater sharing of bandwidth among different classes and performs somewhat better under normal conditions. On the other hand the maximum allocation model does not depend on the use of preemption. However, it provides more robust class isolation under overload. It was concluded in the study that the use of preemption gives higher-priority traffic some degree of immunity to the overloading of other classes. This results in a higher blocking/preemption for the overloaded class than that in a pure blocking environment. In this work we propose a bandwidth sharing scheme based on preemption by rerouting best effort traffic or resizing adaptive rate assured forwarding traffic class. Thee longest lower priority traffic existing flow will be preempted first. III. ADMISSION AND BANDWIDTH SHARING The DiffServ-aware MPLS network model used in this work is shown in Fig. 1 is assumed able to cater for three classes of multimedia traffic, i.e. real time constant bit rate traffic or premium traffic, real time variable bit rate traffic or assured rate traffic and non real time variable bit rate traffic or best effort traffic. The premium traffic is associated with the DiffServ s Expedited Forwarding Per Hop Behaviour (EF PHB)[9] and assured rate traffic is associated with Assured Forwarding Per Hop Behavioue (AF PHB) [10]. Whereas the best effort traffic is known as BE PHB which corresponds to the traffic of the traditional Internet. EF AF BE Ingress Egress Fig. 1: DiffServ-aware MPLS Network Model For admission into the network, each of the traffic flow is allocated a bandwidth value at the ingress node. Each of the EF and AF real time traffic flows are allocated bandwidth according to their peak rate whereas the BE traffic flows are allocated their mean rate. Bandwidth sharing is based on the Russian Dolls bandwidth allocation model. The RDM used in this work follow the following mode: All LSPs with EF PHB use no more than 40% of access bandwidth All LSPs from EF and AF PHBs use no more than 80% of access bandwidth All LSPs from EF, AF and BE PHBs use no more than 100% of access bandwidth The access bandwidth per class in the Russian Dolls Model (RDM) is illustrated in Fig. 2. The bandwidth range for each traffic class is shown in Table 1. The lower priority traffic can borrow from the higher priority traffic and the higher priority traffic is able to preempt the lower priority traffic based on the rerouting or resizing of the lower priority traffic first. Resizing occurs for AF traffic since they are of the adaptive rate like MPEG-4 type traffic and rerouting for BE traffic. The RDM pseudocode with preemption is as follows: 1 Set up simulation time= 3000s 2 Set traffic load 3 Set random arrival rate with mean average required 4 Set random traffic life time with mean average required 5 Configure network topology and traffic parameters EF AF BE 783

3 6 Continuously start EF, AF and BE sources according to their arrival rates 7 Continuously terminate sources according to their life time 8 Invoke the following admission control process when a source start-time is invoked: 9 For new EF connection: 10 Proc new_traffic_ef 11 Calculate EF available bandwidth 12 Check if EF_new_connection_bw <= 13 If yes accept_ef_connection 14 else 15 if EF_new_connection_bw > 16 call RDM preemptor procedure 17 For new AF connection 18 Proc new_traffic_af 19 Calculate AF available bandwidth 20 Check if AF_new_connection_bw <= available_af_bw 21 If yes accept_af_connection 22 else 23 if AF_new_connection_bw > available_ EF+AF_bw 24 call RDM preemptor procedure 25 For new BE connection 26 Proc new_traffic_be 27 Calculate BE available bandwidth 28 Check if BE_new_connection_bw <= available_ EF+AF+BE_bw 29 If yes accept_be_connection 30 else 31 if BE_new_connection_bw > available_ EF+AF+BE _bw 32 reject_be_connection 33 Proc RDM preemptor 34 Preempt or Reroute flows based on longest existing flow first 35 If no flows to preempt or reroute, then reject connection Lines 1-7 describe the traffic and network set up. The arrival and termination of traffic flows are randomly done using Poisson distribution. Upon connection admission request the admission control will be invoked depending on class type the appropriate procedure will trigger. For the EF traffic class it cannot borrow but will preempt AF and BE traffic class by preempting the longest existing flow first as shown in lines On the other hand, the AF traffic class can borrow from EF traffic class and preempt longer existing AF flows or BE flows as in lines Lines show the admission control flow for BE admission request. BE traffic class can borrow from EF and AF traffic class. However, it cannot preempt any other flows and is rejected if it has no available bandwidth and no bandwidth to borrow. Available Access Bandwidth BE 100% Fig. 2: Access Bandwidth Allocation Table 1: Bandwidth Range % EF PHB % AF PHB traffic % BE PHB traffic traffic Min Max Min Max IV. SIMULATION STUDY EF 40% AF 80% A simulation study was carried out for the proposed bandwidth sharing scheme based on the network model of Fig. 1 using ns-2 network simulator [11]. There are 11 nodes in the network, i.e. 3 sources, 3 sinks and 5 MPLS nodes. The bandwidth between links is 3Mbps. Each of the admitted traffic would be assigned an LSP based on class. The LSP will be based on peak rate value for EF traffic, adaptive rate for AF traffic and mean bandwidth for BE traffic. The performance metric used in evaluating the bandwidth sharing scheme is the blocking probability at the ingress node. The blocking probability is obtained for various offered traffic load by dividing the sum of rejected flows over total number of admission request. An offered traffic load is a measure obtained by dividing the mean traffic arrival rate,λ, over the mean service rate, µ, i.e. λ/µ Erlang. The mean service rate can be obtained by taking the inverse of the mean holding or service time. The basic traffic descriptions are given in Table 2. All simulation runs take 3000s to completely eliminate any transient effect as suggested by [12]. The network model for 784

4 the simulation work was validated using Erlang loss formula [13]. Table 2 Traffic Description To study the performance of the fuzzy regulator, the EF premium traffic is first gradually admitted to the DiffServaware MPLS network from a smaller to a bigger offered traffic load, i.e. 1 to 9 Erlangs, whereas the assured and best effort offered traffic load are fixed with 50 Erlangs respectively. Then, the simulation work is repeated but with the AF traffic varied from 1 to 9 Erlangs and the EF and BE traffic are held constant at 50 Erlangs. This is then again repeated with BE traffic class varied from 1 to 9 Erlangs and the AF and BE class held constant at 50 Erlangs. The mean arrival rates and mean holding time used are given in Table 3. The values are arbitrarily chosen but they provide heavy load conditions where borrowing exists so that preemption is relevant. Once a connection is accepted, it would be assigned an LSP using shortest path route. The simulation work comprise of RDM admission control investigation with and without preemption. When it is without preemption, only borrowing is allowed whereas with preemption the higher priority traffic can claim back its allocated bandwidth by rerouting and resizing the lower priority traffic based on earliest flow first. The RDM without preemption pseudocode is as follows: 1 Set up simulation time= 3000s 2 Set traffic load 3 Set random arrival rate with mean average required 4 Set random traffic life time with mean average required 5 Configure network topology and traffic parameters 6 Continuously start EF, AF and BE sources according to their arrival rates 7 Continuously terminate sources according to their life time 8 Invoke the following admission control process when a source start-time is invoked: 9 For new EF connection: 10 Proc new_traffic_ef 11 Calculate EF available bandwidth 12 Check if EF_new_connection_bw <= 13 If yes accept_ef_connection 14 else 15 if EF_new_connection_bw > 16 reject_ef_connection 17 For new AF connection 18 Proc new_traffic_af 19 Calculate EF and AF available bandwidth 20 Check if AF_new_connection_bw <= available_af_bw 21 If yes accept_af_connection 22 else 23 if AF_new_connection_bw > available_ EF+AF_bw 24 reject_af_connection 25 For new BE connection 26 Proc new_traffic_be 27 Calculate EF,BE and AF available bandwidth 28 Check if BE_new_connection_bw <= available_ EF+AF+BE_bw 29 If yes accept_be_connection 30 else 31 if BE_new_connection_bw > available_ EF+AF+BE _bw 32 reject_be_connection The traffic and network set up are similar to ones with preemption, i.e. lines 1-7, and the arrival and termination of traffic flows are also randomly done using Poisson distribution. Similarly also, at the beginning of a connection arrival, admission control will take place and the appropriate procedure will trigger based on connection class type. For the EF traffic class it cannot borrow and cannot preempt as in lines The AF traffic class can borrow from EF traffic class but cannot preempt any flows Again BE traffic class can borrow from EF and AF traffic class but cannot preempt any flows as illustrated in lines Fig. 3 shows the blocking performance when the EF traffic is gradually increased from 1 to 9 Erlangs, and AF and BE traffic are held constant at 50 Erlangs. The EF with RDM preemption (EF-P) has 20-30% better blocking compared to EF without RDM preemption (EF-NP). The AF with RDM preemption (AF-P) also shows better blocking performance. by about 5%. For BE traffic class no blocking were experienced for the simulation with and without preemption since BE traffic can borrow bandwidth and would be rerouted when preempted. Fig. 4 provides the blocking performance when the AF traffic is gradually increased from 1 to 9 Erlangs, and EF and 785

5 BE traffic is held constant at 50 Erlangs. The EF-P with a constant 50 Erlangs traffic has about 5% better blocking compared to EF-NP. As the AF traffic is being increased we see that blocking increases. The AF with RDM preemption (AF-P) shows 20% better blocking performance. Again for BE traffic no blocking were experienced for the simulation with and without preemption since BE traffic can borrow bandwidth and would be rerouted when preempted. Fig. 4 provides the blocking performance when the AF traffic is gradually increased from 1 to 9 Erlangs, and EF and BE traffic is held constant at 50 Erlangs. The EF-P with a constant 50 Erlangs traffic has about 5% better blocking compared to EF-NP. As the AF traffic is being increased we see that blocking increases. The AF with RDM preemption (AF-P) shows 20% better blocking performance. Again for BE traffic no blocking were experienced for the simulation with and without preemption since BE traffic can borrow bandwidth and would be rerouted when preempted. Fig. 5 provides the blocking performance when the BE traffic is gradually increased from 1 to 9 Erlangs, and EF and AF traffic is held constant at 50 Erlangs. No difference is detected in the EF-P and EF-NP blockings when BE traffic is increased. This is because the increased in the BE traffic class does not effect the constant load EF flows. The AF traffic provides significant lowering of the blocking probability of about 80% at 9 Erlangs when BE traffic is increased. The BE with no preemption (BE-NP) blocking is seen to increase as the BE offered load increases whereas the BE with preemption (BE-P) experienced almost no blocking. This is again attributed to the BE-P being able to borrow and preempted through rerouting. Blocking AF Offered Traffic (Erlang) EF-NP EF-P AF-NP AF-P BE-NP BE-P Fig. 4 Blocking Probability when AF Offered Traffic is increased Blocking EF-NP EF-P AF-NP AF-P BE-NP BE-P Blocking EF Offered Traffic (Erlang) EF-NP EF-P AF-NP AF-P BE-NP BE-P Fig. 3 Blocking Probability when EF Offered Traffic is increased BE Offered Traffic (Erlang) Fig. 5 Blocking Probability when EF Offered Traffic is increased V. CONCLUSISON This paper looks at bandwidth sharing in the DiffServaware MPLS network based on the RDM model. Bandwidth borrowing is allowed by the lower priority traffic and limited by their respective cumulative bandwidth constraints whereas bandwidth preemption is based on preempting of higher to lower priority traffic. We propose that bandwidth preemption be based on resizing adaptive variable bit rate traffic and rerouting of best effort elastic Internet traffic. Results show that borrowing and preemption can form the basis of 786

6 bandwidth sharing in a DiffServ-aware MPLS network as oppose to have a borrowing only. We see equal or better performance, i.e. up to 80%, in blocking probability when the preemption scheme was in place. REFERENCES [1] F. L. Faucheur and W. Lai, "Requirements for Support of DiffServaware MPLS Traffic Engineering," RFC 3564, July [2] F. L. Faucheur, L. Wu, B. Davie, S. Davari, P. Vaananen, R. Krishnan, P.Cheval, J. Heinanen, MPLS Support of Differentiated Services, RFC 3270, IETF, May [3] E. Rosen, A. Viswanathan, and R. Callon, Multiprotocol Label Switching Architecture, RFC 3031, IETF, January [4] S. Blake, D, Black, M. Carlson, E. Davies, Z. Wang, W. Weiss, An Architecture for Differentiated Services, RFC 2475, IETF, Dec [5] Faucher, F. L. and Lai, W, Maximum Allocation Bandwidth Constraints Model for Diffserv-aware MPLS Traffic Engineering, RFC 4125, IETF, June [6] Ash, J, Max Allocation with Reservation Bandwidth Constraints Model for Diffserv-aware MPLS Traffic Engineering & Performance Comparison, RFC 4126, IETF, June [7] F. L. Faucheur, Russian Dolls Bandwidth Constraints Model for DiffServ-aware MPLS Traffic Engineering, RFC 4127, June [8] Lai, W, Bandwidth Constraints Models for Differentiated Services (Diffserv)-aware MPLS Traffic Engineering: Performance Evaluation, RFC 4128, IETF, June [9] V. Jacobson, K. Nichols and K. Poduri, An Expedited Forwarding PHB RFC 2598, June [10] J. Heinanen, F. Baker, W. Weiss and J. Wroclawski, Assured Forwarding PHB Group, RFC 2597, June [11] ns-2 Network Simulator [Online]. Available [12] S. Jamin, P.B. Danzig, S. J. Shenker and L. Zhang, A measurement-based admission control algorithm for integrated service packet networks, IEEE/ACM Trans. Netw., vol. 5, no. 1, pp , Feb [13] L. Kleinrock, Queuing System, Volume 1: Theory, New York: John Wiley,

Implement a QoS Algorithm for Real-Time Applications in the DiffServ-aware MPLS Network

Implement a QoS Algorithm for Real-Time Applications in the DiffServ-aware MPLS Network Implement a QoS Algorithm for Real-Time Applications in the DiffServ-aware MPLS Network Zuo-Po Huang, *Ji-Feng Chiu, Wen-Shyang Hwang and *Ce-Kuen Shieh adrian@wshlab2.ee.kuas.edu.tw, gary@hpds.ee.ncku.edu.tw,

More information

Supporting End-to-End QoS in DiffServ/MPLS Networks

Supporting End-to-End QoS in DiffServ/MPLS Networks Supporting End-to-End QoS in DiffServ/MPLS Networks Ji-Feng Chiu, *Zuo-Po Huang, *Chi-Wen Lo, *Wen-Shyang Hwang and Ce-Kuen Shieh Department of Electrical Engineering, National Cheng Kung University, Taiwan

More information

Investigation and Comparison of MPLS QoS Solution and Differentiated Services QoS Solutions

Investigation and Comparison of MPLS QoS Solution and Differentiated Services QoS Solutions Investigation and Comparison of MPLS QoS Solution and Differentiated Services QoS Solutions Steve Gennaoui, Jianhua Yin, Samuel Swinton, and * Vasil Hnatyshin Department of Computer Science Rowan University

More information

CHAPTER 2. QoS ROUTING AND ITS ROLE IN QOS PARADIGM

CHAPTER 2. QoS ROUTING AND ITS ROLE IN QOS PARADIGM CHAPTER 2 QoS ROUTING AND ITS ROLE IN QOS PARADIGM 22 QoS ROUTING AND ITS ROLE IN QOS PARADIGM 2.1 INTRODUCTION As the main emphasis of the present research work is on achieving QoS in routing, hence this

More information

A Survey on QoS Behavior in MPLS Networks

A Survey on QoS Behavior in MPLS Networks A Survey on QoS Behavior in MPLS Networks Shruti Thukral 1, Banita Chadha 2 M.Tech Scholar, CSE Department, IEC College of Engg & Technology, Greater Noida, India 1 Assistant Professor, CSE Department,

More information

QoS Performance Evaluation in BGP/MPLS VPN

QoS Performance Evaluation in BGP/MPLS VPN 1 QoS Performance Evaluation in BGP/MPLS VPN M. C. Castro, N. A. Nassif and W. C. Borelli 1 Abstract-- The recent exponential growth of the Internet has encouraged more applications, users and services

More information

Comparing the Performance of Real-Time Applications based on IPv4 and IPv6 Networks

Comparing the Performance of Real-Time Applications based on IPv4 and IPv6 Networks Comparing the Performance of Real-Time Applications based on IPv4 and IPv6 Networks Vahid Ghoreishi1, Shahram Mohammadi2 MSc graduate1, Assistant professor2 Department of electrical and electronic engineering

More information

Path Selection Analysis in MPLS Network Based on QoS

Path Selection Analysis in MPLS Network Based on QoS Cumhuriyet Üniversitesi Fen Fakültesi Fen Bilimleri Dergisi (CFD), Cilt:36, No: 6 Özel Sayı (2015) ISSN: 1300-1949 Cumhuriyet University Faculty of Science Science Journal (CSJ), Vol. 36, No: 6 Special

More information

Analysis of traffic engineering parameters while using multi-protocol label switching (MPLS) and traditional IP networks

Analysis of traffic engineering parameters while using multi-protocol label switching (MPLS) and traditional IP networks Analysis of traffic engineering parameters while using multi-protocol label switching (MPLS) and traditional IP networks Faiz Ahmed Electronic Engineering Institute of Communication Technologies, PTCL

More information

Quality of Service Routing in MPLS Networks Using Delay and Bandwidth Constraints

Quality of Service Routing in MPLS Networks Using Delay and Bandwidth Constraints Quality of Service Routing in MPLS Networks Using Delay and Bandwidth Constraints Mohammad HossienYaghmae Computer Department, Faculty of Engineering, Ferdowsi University of Mashad, Mashhad, Iran hyaghmae@ferdowsi.um.ac.ir

More information

Quality of Service using Traffic Engineering over MPLS: An Analysis. Praveen Bhaniramka, Wei Sun, Raj Jain

Quality of Service using Traffic Engineering over MPLS: An Analysis. Praveen Bhaniramka, Wei Sun, Raj Jain Praveen Bhaniramka, Wei Sun, Raj Jain Department of Computer and Information Science The Ohio State University 201 Neil Ave, DL39 Columbus, OH 43210 USA Telephone Number: +1 614-292-3989 FAX number: +1

More information

Routing architecture in DiffServ MPLS networks

Routing architecture in DiffServ MPLS networks Routing architecture in DiffServ MPLS networks Gonzalo Camarillo Advanced Signalling Research Laboratory Ericsson, FIN-02420 Jorvas, Finland Gonzalo.Camarillo@ericsson.com Abstract The Internet is currently

More information

A Review on Quality of Service Architectures for Internet Network Service Provider (INSP)

A Review on Quality of Service Architectures for Internet Network Service Provider (INSP) A Review on Quality of Service Architectures for Internet Network Service Provider (INSP) Herman and Azizah bte Abd. Rahman Faculty of Computer Science and Information System Universiti Teknologi Malaysia

More information

4 Internet QoS Management

4 Internet QoS Management 4 Internet QoS Management Rolf Stadler School of Electrical Engineering KTH Royal Institute of Technology stadler@ee.kth.se September 2008 Overview Network Management Performance Mgt QoS Mgt Resource Control

More information

Overview of QoS in Packet-based IP and MPLS Networks. Paresh Shah Utpal Mukhopadhyaya Arun Sathiamurthi

Overview of QoS in Packet-based IP and MPLS Networks. Paresh Shah Utpal Mukhopadhyaya Arun Sathiamurthi Overview of QoS in Packet-based IP and MPLS Networks Paresh Shah Utpal Mukhopadhyaya Arun Sathiamurthi 1 Agenda Introduction QoS Service Models DiffServ QoS Techniques MPLS QoS Summary 2 Introduction QoS

More information

Fuzzy Active Queue Management for Assured Forwarding Traffic in Differentiated Services Network

Fuzzy Active Queue Management for Assured Forwarding Traffic in Differentiated Services Network Fuzzy Active Management for Assured Forwarding Traffic in Differentiated Services Network E.S. Ng, K.K. Phang, T.C. Ling, L.Y. Por Department of Computer Systems & Technology Faculty of Computer Science

More information

QoS Strategy in DiffServ aware MPLS environment

QoS Strategy in DiffServ aware MPLS environment QoS Strategy in DiffServ aware MPLS environment Teerapat Sanguankotchakorn, D.Eng. Telecommunications Program, School of Advanced Technologies Asian Institute of Technology P.O.Box 4, Klong Luang, Pathumthani,

More information

Experiences with Class of Service (CoS) Translations in IP/MPLS Networks

Experiences with Class of Service (CoS) Translations in IP/MPLS Networks Experiences with Class of Service (CoS) Translations in IP/MPLS Networks Rameshbabu Prabagaran & Joseph B. Evans Information and Telecommunications Technology Center Department of Electrical Engineering

More information

Figure 1: Network Topology

Figure 1: Network Topology Improving NGN with QoS Strategies Marcel C. Castro, Tatiana B. Pereira, Thiago L. Resende CPqD Telecom & IT Solutions Campinas, S.P., Brazil E-mail: {mcastro; tatibp; tresende}@cpqd.com.br Abstract Voice,

More information

A Novel Approach for Providing Quality of Service in Multiservice IP Networks

A Novel Approach for Providing Quality of Service in Multiservice IP Networks FACTA UNIVERSITATIS (NIŠ) SER.: ELEC. ENERG. vol. 17, August 2004, 261-274 A Novel Approach for Providing Quality of Service in Multiservice IP Networks Mirjana Stojanović and Vladanka Aćimović-Raspopović

More information

Supporting Differentiated Services with Per-Class Traffic Engineering in MPLS

Supporting Differentiated Services with Per-Class Traffic Engineering in MPLS Supporting Differentiated Services with Per-Class Traffic Engineering in MPLS Melody Moh moh @IX. sjsu. edu Dept of Math. & Computer Science Belle Wei bwei@email.sjsu.edu Dept of Electrical Engineering

More information

Quality of Service Mechanisms and Challenges for IP Networks

Quality of Service Mechanisms and Challenges for IP Networks Quality of Service Mechanisms and Challenges for IP Networks Prof. Augustine C. Odinma, Ph.D. * and Lawrence Oborkhale, M.Eng. Department of Electrical, Electronic & Computer Engineering, Lagos State University

More information

CS/ECE 438: Communication Networks. Internet QoS. Syed Faisal Hasan, PhD (Research Scholar Information Trust Institute) Visiting Lecturer ECE

CS/ECE 438: Communication Networks. Internet QoS. Syed Faisal Hasan, PhD (Research Scholar Information Trust Institute) Visiting Lecturer ECE CS/ECE 438: Communication Networks Internet QoS Syed Faisal Hasan, PhD (Research Scholar Information Trust Institute) Visiting Lecturer ECE Introduction The Internet only provides a best effort service

More information

Evaluation of Performance for Optimized Routing in MPLS Network

Evaluation of Performance for Optimized Routing in MPLS Network Evaluation of Performance for Optimized Routing in MPLS Network Neethu T U Student,Dept. of Electronics and Communication The Oxford College of Engineering Bangalore, India Reema Sharma Assistant Professor,Dept.of

More information

Performance Evaluation of Quality of Service Assurance in MPLS Networks

Performance Evaluation of Quality of Service Assurance in MPLS Networks 114 Performance Evaluation of Quality of Service Assurance in MPLS Networks Karol Molnar, Jiri Hosek, Lukas Rucka, Dan Komosny and Martin Vlcek Brno University of Technology, Communication, Purkynova 118,

More information

Analysis of Delayed Reservation Scheme in Server-based QoS Management Network

Analysis of Delayed Reservation Scheme in Server-based QoS Management Network Analysis of Delayed Reservation Scheme in Server-based QoS Management Network Takeshi Ikenaga Ý, Kenji Kawahara Ý, Tetsuya Takine Þ, and Yuji Oie Ý Ý Dept. of Computer Science and Electronics, Kyushu Institute

More information

RBA-RIO Rate Based Adaptive Red With In and Out. Algorithm for DiffServ AF PHB

RBA-RIO Rate Based Adaptive Red With In and Out. Algorithm for DiffServ AF PHB RBA-RIO Rate Based Adaptive Red With In and Out Algorithm for DiffServ AF PHB Zhang Mgjie Zhu Peidong Su Jshu Lu Xicheng School of Computer, National University of Defense Technology, Changsha 410073,

More information

Building MPLS VPNs with QoS Routing Capability i

Building MPLS VPNs with QoS Routing Capability i Building MPLS VPNs with QoS Routing Capability i Peng Zhang, Raimo Kantola Laboratory of Telecommunication Technology, Helsinki University of Technology Otakaari 5A, Espoo, FIN-02015, Finland Tel: +358

More information

Dynamic Network Resources Allocation in Grids through a Grid Network Resource Broker

Dynamic Network Resources Allocation in Grids through a Grid Network Resource Broker INGRID 2007 Instrumenting the GRID Second International Workshop on Distributed Cooperative Laboratories Session 2: Networking for the GRID Dynamic Network Resources Allocation in Grids through a Grid

More information

2004 Networks UK Publishers. Reprinted with permission.

2004 Networks UK Publishers. Reprinted with permission. Riikka Susitaival and Samuli Aalto. Adaptive load balancing with OSPF. In Proceedings of the Second International Working Conference on Performance Modelling and Evaluation of Heterogeneous Networks (HET

More information

Disjoint Path Algorithm for Load Balancing in MPLS network

Disjoint Path Algorithm for Load Balancing in MPLS network International Journal of Innovation and Scientific Research ISSN 2351-8014 Vol. 13 No. 1 Jan. 2015, pp. 193-199 2015 Innovative Space of Scientific Research Journals http://www.ijisr.issr-journals.org/

More information

Analysis of Link Utilization in MPLS Enabled Network using OPNET IT Guru

Analysis of Link Utilization in MPLS Enabled Network using OPNET IT Guru Analysis of Link Utilization in MPLS Enabled Network using OPNET IT Guru Anupkumar M Bongale Assistant Professor Department of CSE MIT, Manipal Nithin N Assistant Professor Department of CSE MIT, Manipal

More information

MPLS TE Technology Overview

MPLS TE Technology Overview C H A P T E R MPLS TE Technology Overview In this chapter, you review the following topics: MPLS TE Introduction Basic Operation of MPLS TE DiffServ-Aware Traffic Engineering Fast Reroute This chapter

More information

An Efficient Fault Tolerance Model for Path Recovery in MPLS Networks

An Efficient Fault Tolerance Model for Path Recovery in MPLS Networks An Efficient Fault Tolerance Model for Path Recovery in MPLS Networks Arunkumar C K M.Tech student, Dept. of ECE, Dayananda Sagar College of Engineering, VTU, Banglore, India ABSTRACT: Increasing demand

More information

Providing Differentiated Services by Load Balancing and Scheduling in MPLS Networks

Providing Differentiated Services by Load Balancing and Scheduling in MPLS Networks COST279TD(03)03 Providing Differentiated Services by Load Balancing and Scheduling in MPLS Networks Riikka Susitaival and Samuli Aalto 1 Networking Laboratory, Helsinki University of Technology Abstract

More information

Recovery Modeling in MPLS Networks

Recovery Modeling in MPLS Networks Proceedings of the Int. Conf. on Computer and Communication Engineering, ICCCE 06 Vol. I, 9-11 May 2006, Kuala Lumpur, Malaysia Recovery Modeling in MPLS Networks Wajdi Al-Khateeb 1, Sufyan Al-Irhayim

More information

A New Proposal for Assuring Services in Internet

A New Proposal for Assuring Services in Internet A New Proposal for Assuring Services in Internet Maria-Dolores Cano, Fernando Cerdan, Joan Garcia-Haro, Josemaria Malgosa-Sanahuja Department of Information echnologies and Communications Polytechnic University

More information

New QOS Routing Algorithm for MPLS Networks Using Delay and Bandwidth Constraints

New QOS Routing Algorithm for MPLS Networks Using Delay and Bandwidth Constraints New QOS Routing Algorithm for MPLS Networks Using Delay and Bandwidth Constraints Santosh Kulkarni 1, Reema Sharma 2,Ishani Mishra 3 1 Department of ECE, KSSEM Bangalore,MIEEE, MIETE & ISTE 2 Department

More information

Quality of Service perceptiveness versus network performance in a wide Area. optical MPLS test bed

Quality of Service perceptiveness versus network performance in a wide Area. optical MPLS test bed Quality of Service perceptiveness versus network performance in a wide Area optical MPLS test bed F. Matera, F. Matteotti, P. Pasquali, L. Rea, A. Tarantino, V. Baroncini,G. Del Prete, G. Gaudino Abstract-

More information

Inter Domain Routing Working Group Chemnitz University of Technology Intended status: Standards Track July 7, 2008 Expires: January 8, 2009

Inter Domain Routing Working Group Chemnitz University of Technology Intended status: Standards Track July 7, 2008 Expires: January 8, 2009 Inter Domain Routing Working Group Th. Knoll Internet Draft Chemnitz University of Technology Intended status: Standards Track July 7, 2008 Expires: January 8, 2009 Status of this Memo BGP Class of Service

More information

A Fast Path Recovery Mechanism for MPLS Networks

A Fast Path Recovery Mechanism for MPLS Networks A Fast Path Recovery Mechanism for MPLS Networks Jenhui Chen, Chung-Ching Chiou, and Shih-Lin Wu Department of Computer Science and Information Engineering Chang Gung University, Taoyuan, Taiwan, R.O.C.

More information

A Preferred Service Architecture for Payload Data Flows. Ray Gilstrap, Thom Stone, Ken Freeman

A Preferred Service Architecture for Payload Data Flows. Ray Gilstrap, Thom Stone, Ken Freeman A Preferred Service Architecture for Payload Data Flows Ray Gilstrap, Thom Stone, Ken Freeman NASA Research and Engineering Network NASA Advanced Supercomputing Division NASA Ames Research Center Outline

More information

MENTER Overview. Prepared by Mark Shayman UMIACS Contract Review Laboratory for Telecommunications Science May 31, 2001

MENTER Overview. Prepared by Mark Shayman UMIACS Contract Review Laboratory for Telecommunications Science May 31, 2001 MENTER Overview Prepared by Mark Shayman UMIACS Contract Review Laboratory for Telecommunications Science May 31, 2001 MENTER Goal MPLS Event Notification Traffic Engineering and Restoration Develop an

More information

Performance Analysis of MPLS TE Queues for QoS Routing

Performance Analysis of MPLS TE Queues for QoS Routing Performance Analysis of MPLS TE Queues for QoS Routing Yihan Li, Shivendra Panwar Electrical and Computer Engineering Department, Polytechnic University, Brooklyn, NY C.J. (Charlie) Liu AT&T Laboratories,

More information

Chapter 1. Introduction

Chapter 1. Introduction Chapter 1 Introduction 1.1. Motivation Network performance analysis, and the underlying queueing theory, was born at the beginning of the 20th Century when two Scandinavian engineers, Erlang 1 and Engset

More information

Quality of Service for VoIP

Quality of Service for VoIP Quality of Service for VoIP WCS November 29, 2000 John T. Chapman Cisco Distinguished Engineer Broadband Products and Solutions Course Number Presentation_ID 1999, Cisco Systems, Inc. 1 The QoS Matrix

More information

A New Fault Tolerant Routing Algorithm For GMPLS/MPLS Networks

A New Fault Tolerant Routing Algorithm For GMPLS/MPLS Networks A New Fault Tolerant Routing Algorithm For GMPLS/MPLS Networks Mohammad HossienYaghmae Computer Department, Faculty of Engineering, Ferdowsi University of Mashhad, Mashhad, Iran hyaghmae@ferdowsi.um.ac.ir

More information

An Analysis of the DiffServ Approach in Mobile Environments

An Analysis of the DiffServ Approach in Mobile Environments 1 An Analysis of the DiffServ Approach in Mobile Environments Torsten Braun, University of Berne, Switzerland. (braun@iam.unibe.ch) Claude Castelluccia, INRIA Rhône-Alpes, France. (claude.castelluccia@inrialpes.fr)

More information

for guaranteed IP datagram routing

for guaranteed IP datagram routing Core stateless distributed admission control at border routers for guaranteed IP datagram routing Takahiro Oishi Masaaki Omotani Kohei Shiomoto NTT Network Service Systems Laboratories, NTT corporation

More information

Adopting SCTP and MPLS-TE Mechanism in VoIP Architecture for Fault Recovery and Resource Allocation

Adopting SCTP and MPLS-TE Mechanism in VoIP Architecture for Fault Recovery and Resource Allocation Adopting SCTP and MPLS-TE Mechanism in VoIP Architecture for Fault Recovery and Resource Allocation Fu-Min Chang #1, I-Ping Hsieh 2, Shang-Juh Kao 3 # Department of Finance, Chaoyang University of Technology

More information

QoS Parameters. Quality of Service in the Internet. Traffic Shaping: Congestion Control. Keeping the QoS

QoS Parameters. Quality of Service in the Internet. Traffic Shaping: Congestion Control. Keeping the QoS Quality of Service in the Internet Problem today: IP is packet switched, therefore no guarantees on a transmission is given (throughput, transmission delay, ): the Internet transmits data Best Effort But:

More information

MPLS Multiprotocol Label Switching

MPLS Multiprotocol Label Switching MPLS Multiprotocol Label Switching José Ruela, Manuel Ricardo FEUP Fac. Eng. Univ. Porto, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal INESC Porto, Campus da FEUP, Rua Dr. Roberto Frias, 378, 4200-465

More information

Project Report on Traffic Engineering and QoS with MPLS and its applications

Project Report on Traffic Engineering and QoS with MPLS and its applications Project Report on Traffic Engineering and QoS with MPLS and its applications Brief Overview Multiprotocol Label Switching (MPLS) is an Internet based technology that uses short, fixed-length labels to

More information

Distributed Explicit Partial Rerouting (DEPR) Scheme for Load Balancing in MPLS Networks

Distributed Explicit Partial Rerouting (DEPR) Scheme for Load Balancing in MPLS Networks Distributed Eplicit Partial Rerouting (DEPR) Scheme for Load Balancing in MPLS Networks Sherif Ibrahim Mohamed shf_ibrahim@yahoo.com Khaled M. F. Elsayed, senior member IEEE khaled@ieee.org Department

More information

A Power Efficient QoS Provisioning Architecture for Wireless Ad Hoc Networks

A Power Efficient QoS Provisioning Architecture for Wireless Ad Hoc Networks A Power Efficient QoS Provisioning Architecture for Wireless Ad Hoc Networks Didem Gozupek 1,Symeon Papavassiliou 2, Nirwan Ansari 1, and Jie Yang 1 1 Department of Electrical and Computer Engineering

More information

Multi Protocol Label Switching with Quality of Service in High Speed Computer Network

Multi Protocol Label Switching with Quality of Service in High Speed Computer Network Multi Protocol Label Switching with Quality of Service in High Speed Computer Network Jitendra Joshi, Sonali Gupta, Priti Gupta, Nisha Singh, Manjari Kumari Department of Computer Science and Engineering

More information

A Policy-Based Admission Control Scheme for Voice over IP Networks

A Policy-Based Admission Control Scheme for Voice over IP Networks Journal of Computer Science 5 (11): 817-821, 2009 ISSN 1549-3636 2009 Science Publications A Policy-Based Admission Control Scheme for Voice over IP Networks Sami Alwakeel and Agung Prasetijo Department

More information

Integrated Service (IntServ) versus Differentiated Service (Diffserv)

Integrated Service (IntServ) versus Differentiated Service (Diffserv) Integrated Service (IntServ) versus Differentiated Service (Diffserv) Information taken from Kurose and Ross textbook Computer Networking A Top- Down Approach Featuring the Internet ACN: IntServ and DiffServ

More information

Constructing End-to-End Traffic Flows for Managing Differentiated Services Networks

Constructing End-to-End Traffic Flows for Managing Differentiated Services Networks Constructing End-to-End Traffic Flows for Managing Differentiated Services Networks Jae-Young Kim 1, James Won-Ki Hong 1, Sook-Hyun Ryu 1, and Tae-Sang Choi 2 1 Department of Computer Science and Engineering

More information

Dynamic Sizing of Label Switching Paths in MPLS Networks

Dynamic Sizing of Label Switching Paths in MPLS Networks Dynamic Sizing of Label Switching Paths in MPLS Networks Gustavo B. Figueiredo 1 José. Augusto. S. Monteiro 2 Nelson. L. S da Fonseca 1 Antônio. A. A. Rocha 3 1 State University of Campinas Institute of

More information

International Journal of Software and Web Sciences (IJSWS) Comparative Performance Analysis of MPLS Network & IP Network

International Journal of Software and Web Sciences (IJSWS)  Comparative Performance Analysis of MPLS Network & IP Network International Association of Scientific Innovation and Research (IASIR) (An Association Unifying the Sciences, Engineering, and Applied Research) ISSN (Print): 2279-0063 ISSN (Online): 2279-0071 International

More information

Achieving QoS for TCP traffic in Satellite Networks with Differentiated Services

Achieving QoS for TCP traffic in Satellite Networks with Differentiated Services 1 Achieving QoS for TCP traffic in Satellite Networks with Differentiated Services Arjan Durresi 1, Sastri Kota 2, Mukul Goyal 1, Raj Jain 3, Venkata Bharani 1 1 Department of Computer and Information

More information

Quality of Service in the Internet. QoS Parameters. Keeping the QoS. Traffic Shaping: Leaky Bucket Algorithm

Quality of Service in the Internet. QoS Parameters. Keeping the QoS. Traffic Shaping: Leaky Bucket Algorithm Quality of Service in the Internet Problem today: IP is packet switched, therefore no guarantees on a transmission is given (throughput, transmission delay, ): the Internet transmits data Best Effort But:

More information

A ROUTING ALGORITHM FOR MPLS TRAFFIC ENGINEERING IN LEO SATELLITE CONSTELLATION NETWORK. Received September 2012; revised January 2013

A ROUTING ALGORITHM FOR MPLS TRAFFIC ENGINEERING IN LEO SATELLITE CONSTELLATION NETWORK. Received September 2012; revised January 2013 International Journal of Innovative Computing, Information and Control ICIC International c 2013 ISSN 1349-4198 Volume 9, Number 10, October 2013 pp. 4139 4149 A ROUTING ALGORITHM FOR MPLS TRAFFIC ENGINEERING

More information

MPLS Management using Policies

MPLS Management using Policies MPLS Management using Policies M. Brunner, J. Quittek C&C Research Laboratories, NEC Europe Ltd. Adenauerplatz 6, 69115 Heidelberg, Germany [brunner quittek]@ccrle.nec.de Abstract Multi-Protocol Label

More information

International Journal of Scientific & Engineering Research, Volume 6, Issue 9, September-2015 ISSN 2229-5518 15

International Journal of Scientific & Engineering Research, Volume 6, Issue 9, September-2015 ISSN 2229-5518 15 ISSN 2229-5518 15 Performance Analysis DiffServ based Quality of Service in MPLS Network's Dr. Ahmad Saker Ahmad, Dr.Talal Alatky, Manhal Jafar Abstract Over the last years, we have seen a rapid deployment

More information

IP Traffic Engineering over OMP technique

IP Traffic Engineering over OMP technique IP Traffic Engineering over OMP technique 1 Károly Farkas, 1 Zoltán Balogh, 2 Henrik Villför 1 High Speed Networks Laboratory Department of Telecommunications and Telematics Technical University of Budapest,

More information

MPLS Network Optimization for VoIP Using DiffServ with Multiple ER-LSP

MPLS Network Optimization for VoIP Using DiffServ with Multiple ER-LSP Computational and Applied Mathematics Journal 2015; 1(5): 249-260 Published online July 10, 2015 (http://www.aascit.org/journal/camj) MPLS Network Optimization for VoIP Using DiffServ with Multiple ER-LSP

More information

Implementation of Traffic Engineering and Addressing QoS in MPLS VPN Based IP Backbone

Implementation of Traffic Engineering and Addressing QoS in MPLS VPN Based IP Backbone International Journal of Computer Science and Telecommunications [Volume 5, Issue 6, June 2014] 9 ISSN 2047-3338 Implementation of Traffic Engineering and Addressing QoS in MPLS VPN Based IP Backbone Mushtaq

More information

An Adaptive RIO (A-RIO) Queue Management Algorithm

An Adaptive RIO (A-RIO) Queue Management Algorithm An Adaptive RIO (A-RIO) Queue Management Algorithm Julio Orozco 1,2 and David Ros 1 1 GET/ENST Bretagne, Rue de la Châtaigneraie, CS 1767, 35576 Cesson Sévigné Cedex, France 2 IRISA/INRIA Rennes, Campus

More information

H.323 Traffic Characterization Test Plan Draft Paul Schopis, pschopis@itecohio.org

H.323 Traffic Characterization Test Plan Draft Paul Schopis, pschopis@itecohio.org H.323 Traffic Characterization Test Plan Draft Paul Schopis, pschopis@itecohio.org I. Introduction Recent attempts at providing Quality of Service in the Internet2 community have focused primarily on Expedited

More information

Internet Quality of Service

Internet Quality of Service Internet Quality of Service Weibin Zhao zwb@cs.columbia.edu 1 Outline 1. Background 2. Basic concepts 3. Supporting mechanisms 4. Frameworks 5. Policy & resource management 6. Conclusion 2 Background:

More information

VIDEO STREAMING OVER SOFTWARE DEFINED NETWORKS WITH SERVER LOAD BALANCING. Selin Yilmaz, A. Murat Tekalp, Bige D. Unluturk

VIDEO STREAMING OVER SOFTWARE DEFINED NETWORKS WITH SERVER LOAD BALANCING. Selin Yilmaz, A. Murat Tekalp, Bige D. Unluturk VIDEO STREAMING OVER SOFTWARE DEFINED NETWORKS WITH SERVER LOAD BALANCING Selin Yilmaz, A. Murat Tekalp, Bige D. Unluturk College of Engineering, Koç University, 34450 Sariyer, Istanbul, Turkey ABSTRACT

More information

Traffic protection in MPLS networks using an off-line flow optimization model

Traffic protection in MPLS networks using an off-line flow optimization model Traffic protection in MPLS networks using an off-line flow optimization model A.E. Krzesinski and K.E. Müller Department of Computer Science University of Stellenbosch, 76 Stellenbosch, South Africa Phone:

More information

VoIP versus VoMPLS Performance Evaluation

VoIP versus VoMPLS Performance Evaluation www.ijcsi.org 194 VoIP versus VoMPLS Performance Evaluation M. Abdel-Azim 1, M.M.Awad 2 and H.A.Sakr 3 1 ' ECE Department, Mansoura University, Mansoura, Egypt 2 ' SCADA and Telecom General Manager, GASCO,

More information

#43 D A N T E I N P R I N T. A First Step in the World of IP QoS. Nicolas Simar

#43 D A N T E I N P R I N T. A First Step in the World of IP QoS. Nicolas Simar D A N T E I N P R I N T A First Step in the World of IP QoS #43 Nicolas Simar DANTE IN PRINT is a track record of papers and articles published by, or on behalf of DANTE. HTML and Postscript versions are

More information

MEASUREMENT-BASED MULTICAST ADMISSION CONTROL IN DIFFSERV NETWORKS

MEASUREMENT-BASED MULTICAST ADMISSION CONTROL IN DIFFSERV NETWORKS MASURMNT-BASD MULTICAST ADMISSION CONTROL IN DIFFSRV NTWORKS Olli Alanen, Mikko Pääkkönen, Timo Hämäläinen, Mikko Ketola and Jyrki Joutsensalo Department of Mathematical Information Technology University

More information

Mechanism for per-class QoS Monitoring in IP/MPLS transport networks

Mechanism for per-class QoS Monitoring in IP/MPLS transport networks 1 Mechanism for per-class QoS Monitoring in IP/MPLS transport networks Joan A. García Espín 1 1 Department of Telematics Engineering, Technical University of Catalonia (UPC) joan.antoni.garcia@upc.edu

More information

QoS in multi-service IP networks

QoS in multi-service IP networks QoS in multi-service IP networks Vasco Nuno Sousa Simões Pereira Department of Informatics Engineering of the University of Coimbra vasco@dei.uc.pt Abstract Today, an increasing number of applications

More information

An Intelligent Agent Based QoS Provisioning and Network Management System

An Intelligent Agent Based QoS Provisioning and Network Management System An Intelligent Agent Based QoS Provisioning and Network Management System ANGELOS MICHALAS 1, MALAMATI LOUTA 2, GEORGE KOUZAS 1 1 School of Electrical and Computer Engineering National Technical University

More information

Industry s First QoS- Enhanced MPLS TE Solution

Industry s First QoS- Enhanced MPLS TE Solution Industry s First QoS- Enhanced MPLS TE Solution Azhar Sayeed Manager, IOS Product Management, asayeed@cisco.com Contact Info: Kim Gibbons, kgibbons@cisco.com,, 408-525 525-4909 1 Agenda MPLS Traffic Engineering

More information

Programmable Network Functionality for Improved QoS of Interactive Video Traffic

Programmable Network Functionality for Improved QoS of Interactive Video Traffic rogrammable Network Functionality for Improved QoS of Interactive Video Traffic Brendan McAllister, Alan Marshall and Roger Woods Institute of Electronics, Communications and Information Technology. (ECIT),

More information

Performance Evaluation of the Impact of QoS Mechanisms in an IPv6 Network for IPv6-Capable Real-Time Applications

Performance Evaluation of the Impact of QoS Mechanisms in an IPv6 Network for IPv6-Capable Real-Time Applications Journal of Network and Systems Management, Vol. 12, No. 4, December 2004 ( C 2004) DOI: 10.1007/s10922-004-0672-5 Performance Evaluation of the Impact of QoS Mechanisms in an IPv6 Network for IPv6-Capable

More information

Overview. QoS, Traffic Engineering and Control- Plane Signaling in the Internet. Telematics group University of Göttingen, Germany. Dr.

Overview. QoS, Traffic Engineering and Control- Plane Signaling in the Internet. Telematics group University of Göttingen, Germany. Dr. Vorlesung Telematik (Computer Networks) WS2004/05 Overview QoS, Traffic Engineering and Control- Plane Signaling in the Internet Dr. Xiaoming Fu Recent trends in network traffic and capacity QoS principles:

More information

An End-to-End QoS Architecture with the MPLS-Based Core

An End-to-End QoS Architecture with the MPLS-Based Core An End-to-End QoS Architecture with the MPLS-Based Core Victoria Fineberg, PE, Consultant, fineberg@illinoisalumni.org Cheng Chen, PhD, NEC, CChen@necam.com XiPeng Xiao, PhD, Redback, xiaoxipe@cse.msu.edu

More information

HPSR 2002 Kobe, Japan. Towards Next Generation Internet. Bijan Jabbari, PhD Professor, George Mason University

HPSR 2002 Kobe, Japan. Towards Next Generation Internet. Bijan Jabbari, PhD Professor, George Mason University HPSR 2002 Kobe, Japan Towards Next Generation Internet Bijan Jabbari, PhD Professor, George Mason University May 28, 2002 Overview! Scalability and Interoperability in Internet! Impediments in Deployment

More information

Performance Analysis of AQM Schemes in Wired and Wireless Networks based on TCP flow

Performance Analysis of AQM Schemes in Wired and Wireless Networks based on TCP flow International Journal of Soft Computing and Engineering (IJSCE) Performance Analysis of AQM Schemes in Wired and Wireless Networks based on TCP flow Abdullah Al Masud, Hossain Md. Shamim, Amina Akhter

More information

On Traffic Types and Service Classes in the Internet

On Traffic Types and Service Classes in the Internet On Traffic Types and Service Classes in the Internet Mansour J. Karam, Fouad A. Tobagi Abstract In today s Internet, various traffic types having different characteristics and requirements (e.g., voice,

More information

OPNET simulation of voice over MPLS With Considering Traffic Engineering

OPNET simulation of voice over MPLS With Considering Traffic Engineering Master Thesis Electrical Engineering Thesis no: MEE 10:51 June 2010 OPNET simulation of voice over MPLS With Considering Traffic Engineering KeerthiPramukh Jannu Radhakrishna Deekonda School of Computing

More information

Comparative Analysis of Congestion Control Algorithms Using ns-2

Comparative Analysis of Congestion Control Algorithms Using ns-2 www.ijcsi.org 89 Comparative Analysis of Congestion Control Algorithms Using ns-2 Sanjeev Patel 1, P. K. Gupta 2, Arjun Garg 3, Prateek Mehrotra 4 and Manish Chhabra 5 1 Deptt. of Computer Sc. & Engg,

More information

Cisco IOS MPLS configuration

Cisco IOS MPLS configuration Introduction Cisco IOS MPLS configuration MPLS can be configured over different platforms It can be implemented on a purely router-based Internet backbone over an ATM switchednetwork -MPLS enables an ATM

More information

Multi-layer traffic engineering in photonic-gmpls-router networks

Multi-layer traffic engineering in photonic-gmpls-router networks Multi-layer traffic engineering in photonic-gmpls-router networks Naoaki Yamanaka, Masaru Katayama, Kohei Shiomoto, Eiji Oki and Nobuaki Matsuura * NTT Network Innovation Laboratories * NTT Network Service

More information

Technology Overview. Class of Service Overview. Published: 2014-01-10. Copyright 2014, Juniper Networks, Inc.

Technology Overview. Class of Service Overview. Published: 2014-01-10. Copyright 2014, Juniper Networks, Inc. Technology Overview Class of Service Overview Published: 2014-01-10 Juniper Networks, Inc. 1194 North Mathilda Avenue Sunnyvale, California 94089 USA 408-745-2000 www.juniper.net Juniper Networks, Junos,

More information

Testing VoIP on MPLS Networks

Testing VoIP on MPLS Networks Application Note Testing VoIP on MPLS Networks Why does MPLS matter for VoIP? Multi-protocol label switching (MPLS) enables a common IP-based network to be used for all network services and for multiple

More information

Quality of Service Support in Mobile ad-hoc IP Networks *

Quality of Service Support in Mobile ad-hoc IP Networks * Quality of Service Support in Mobile ad-hoc IP Networks * Derya H. Cansever GTE Laboratories 40 Sylvan Road Waltham, MA 02454 Arnold M. Michelson GTE Government Systems 400 John Quincy Adams Road Taunton,

More information

Best-Effort Low-Delay Service

Best-Effort Low-Delay Service Best-Effort Low-Delay Jörg Diederich Institute of Operating Systems and Computer Networks Technical University of Braunschweig Germany Email: dieder@ibr.cs.tu-bs.de Mark Doll, Martina Zitterbart Institute

More information

MPLS: Managing the New Internet

MPLS: Managing the New Internet MPLS: Managing the New Internet Junaid Ahmed Zubairi Department of Math and Computer Science SUNY at Fredonia, Fredonia NY 14063-2330, USA zubairi@cs.fredonia.edu and Wajdi Al-Khateeb, Electrical and Computer

More information

Introduction to Differentiated Services (DiffServ) and HP-UX IPQoS

Introduction to Differentiated Services (DiffServ) and HP-UX IPQoS Introduction to Differentiated Services (DiffServ) and HP-UX IPQoS What is Quality of Service (QoS)?... 2 Differentiated Services (DiffServ)... 2 Overview... 2 Example XYZ Corporation... 2 Components of

More information

TEAM: A Traffic Engineering Automated Manager for DiffServ-Based MPLS Networks

TEAM: A Traffic Engineering Automated Manager for DiffServ-Based MPLS Networks TOPICS IN INTERNET TECHNOLOGY : A Traffic Engineering Automated Manager for DiffServ-Based MPLS Networks Caterina Scoglio, Georgia Institute of Technology Tricha Anjali, Illinois Institute of Technology

More information

Improving QOS in IP Networks. Principles for QOS Guarantees. Principles for QOS Guarantees (more) Principles for QOS Guarantees (more)

Improving QOS in IP Networks. Principles for QOS Guarantees. Principles for QOS Guarantees (more) Principles for QOS Guarantees (more) Improving QOS in IP Networks Thus far: making the best of best effort Future: next generation Internet with QoS guarantees RSVP: signaling for resource reservations Differentiated Services: differential

More information