A Network Management Framework for Emerging Telecommunications Network.

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1 Symposium on Modeling and Simulation Tools for Emerging Telecommunication Networks: Needs, Trends, Challenges, Solutions Munich, Germany, Sept. 8 9, 2005 A Network Management Framework for Emerging Telecommunications Network Augustine Samba, Ph.D Department of Computer Science, Kent State University Kent, OH asamba@kent.edu 1

2 M Embedded Sensors FCAPS Service Creation & Control (Real-time, Dynamic Integrated NM) NEW PARADIG A New Paradigm (foremerging Telecommunications In Network Management Network) SNMP/TMN (Agent + MIB) SNMP/TMN (Agent + MIB) Embedded Sensors OLD (Centralized and Static) Alg. + Ctrl. Integrated Network Management System Command Command Network Management System Manager + MIB 2

3 OUTLINE Background & Significance of Technology Next Generation Multi-Media Services Goals Emerging Telecommunications Network Model (Needs) Current Network Management Framework TNM, SNMP Challenges Framework for Emerging Telecommunications Network (Solution Approach) NM Service Creation & Control Integrated Network Management System Autonomous Sensor Entities Management Scenarios (FCAPS Solution) Fault Tolerance Configuration Accounting Provisioning Security Summary 3

4 Background Challenges of Conventional Core Switch/Routers High and unpredictable latency Thus unable to support real-time multimedia traffic (voice/video) Small switching capacity 20 to 60 Gbps Line interfaces not commensurate with optics, resulting in additional layers Up to OC-48/STM-16 only No integration with DWDM optics Lack multi-service capability at high speeds IP or ATM or frame relay only 4

5 Emerging Telecommunications Network Model Need a new paradigm to manage and control network model Access Networks Dark Fiber Access Mobile/Fixed Wireless Access Optical Ethernet Access Core Network DWDM/Optical (Core) INTERNET Multimedia Real-time Traffic DATA CENTER Video node Voice Data Node Streaming Video Node Streaming Video Data node Voice Video Data node 5

6 Today s Network Management Approach SNMP & TNM Centralized Network Management Framework Management System (Manager) Managed Entities (Agents) Challenges Assumes static managed object Centralized Concerned primarily with monitoring aspects Control is limited to set request command No real-time control capabilities Record Keeping is manual and non-integrated Need a Paradigm Shift 6

7 Real-time Network Management framework - Embedded Sensors: Autonomous Sensor Entity (ASE) - Autonomous Sensor Network (ASN) Access Networks Dark Fiber Mobile/Fixed Wireless Optical Ethernet INMS DWDM/Optical (Core) INTERNET Multimedia Real-time Traffic DATA CENTER Video node Voice Data Node Streaming Video Node Streaming Video Data node Voice Video Data node 7

8 Network Management Software Framework Goals: (1) Autonomous monitoring and control of heterogeneous NEs (2) Real-time provisioning for rapid deployment of heterogeneous NM functions (3) Real-time end-to-end network management and control of heterogeneous NEs (4) Integrated view of Network Management SERVICE ELEMENT CONTROL MGT ASE PROVISIONING VISUAL INTERFACE LIBRARY ALGORITHMS SERVICE CUSTOMIZATION DEFNS OF DEVICE ATTRIBUTES FSM MESSAGE TRANSPORT ASE TOPOLOGY VIEW MGT. ASE AUDIT / QUERY ASE LOGICAL MAPPING ASE NETWORK TOPOLOGY FCAPS DG NETWORK INTERFACE DEVICE API Autonomous Sensor Entity NETWORK INTERFACE ASE NETWORK MANAGEMENT CONTROLS FCAPS SERVICE ELEMENTS INTEGRATED NETWORK MANAGEMENT SYSTEM NM CONTROL DG Service Creation 8

9 Network Management Service Creation - Represent the OSI network management reference model (FCAPS) as service applications Develop Service Element Template per Device type and its local network environment Service Element Template installed on INMS INMS customizes Service Element template based on individual ASE s requirements Traffic type, Access node, Core node, Access routers, Core Network routers INMS provisions customized service element on appropriate ASE Attributes Behavior: (FSM) Fault Mgt Configuration Mgt Accounting Mgt Perf. Mgt Security Mgt State #1 State #2 State #k 9 Control (DG)

10 Network Management Service Creation Specifies ASE Attribute fields Node Identifier Node Type (Access, Core, A/C Multiplexer) Edge Node List Edge Link Type (Optical, Dark Fiber.. Reach Label (Peer-to-peer communication) Survivability (Protected/Unprotected) 10

11 Integrated Network Management System Customize FCAP Service Templates Customize NM Control Templates Maintain Golden Copy of ASE Network Topology - Partition Topology into logical network clusters Provisions Service Elements and Control on appropriate ASE VISUAL INTERFACE ASE PROVISIONING LIBRARY ALGORITHMS SERVICE CUSTOMIZATION Service Creation Autonomous Sensor Entity ASE TOPOLOGY VIEW MGT. ASE AUDIT / QUERY ASE LOGICAL MAPPING ASE NETWORK TOPOLOGY NETWORK INTERFACE ASE NETWORK MANAGEMENT CONTROLS FCAPS SERVICE ELEMENTS 11 OSS INTEGRATED NETWORK MANAGEMENT SYSTEM

12 Integrated Network Management System - INMS partitions Core into logical Clusters - INMS Creates logical graph representation of cluster Nodes, Edges Types INMS models ASE #8 as Supervisory ASE for ASEs in Core Network Cluster A Graph representation A 8 12

13 Integrated Network Management System - INMS partitions Optical Ethernet Access Network into logical Cluster - INMS Creates logical graph representation of Access cluster Nodes, Edges Types INMS models ASE #1 as Supervisory ASE for ASEs in the Access Network Cluster Optical Ethernet Access 5 1 Graph representation Optical Ethernet Access

14 Integrated Network Management System INMS Provisions Autonomous Sensor Entities Dynamically incorporates Service Elements and Control into ASE application INMS configures ASE #8 as SASE for ASEs in core Network Cluster A INMS configures ASE #1 as SASE for ASEs in Optical Ethernet Access Network 2 3 Optical Ethernet Access INMS Cluster: A 14

15 Autonomous Sensor Entity (ASE) ASE is autonomous ~ behavior based on its state and local surroundings ASEs communicate with each other Control management implements and removes NM controls Device API provides abstraction of hardware resources for measuring FCAPS metrics The Supervisory ASE (SASE) communicates with ASEs within the network cluster INMS & SAES in neighboring clusters ASEs within a cluster may be unreachable, hence SASE is the conduit to the outside world Minimum Network overload traffic for Fault Management SERVICE ELEMENT CONTROL MGT MESSAGE TRANSPORT NETWORK INTERFACE DEVICE API 15

16 Autonomous Sensor Entity (ASE) Autonomous Sensor Network (ASN) ASN carries management information between ASEs ASN is a packet Network ASN does not transport revenue generating traffic Portions of ASN traffic carried by DWDM core and Access networks ASN s bandwidth is O(Mb/s) 16

17 Real-Time Network Management & Control INMS receives NM updates from SASE #8 INMS notifies OSS to perform Detailed NM Analysis of the Access and Core Cluster A 4 8 DWDM Core NM Controls S/Autonomous Sensor Entity ASE #8 performs Real-Time Network Management 8 Analysis & Control of Cluster A INMS High-Performance Off-Line Analysis by Modeling and Simulation of Core Network cluster OSS Detailed NM Analysis & Results 17

18 Real-Time Network Management & Control INMS receives NM updates from SASE #1 INMS notifies OSS to perform Detailed NM Analysis of the Access and Core Cluster Optical Ethernet Access 2 Optical Ethernet Access NM Controls Autonomous Sensor 1 Entity ASE #1 performs Real-Time Network Management Analysis & Control of Cluster INMS High-Performance Off-Line Analysis by Modeling and Simulation of Optical Ethernet Access Network OSS Detailed NM Analysis & Results 18

19 Integrated View of Real-Time Network Management INMS receives NM updates from SASE #1 & SASE #8 INMS notifies OSS to perform Detailed NM Analysis of the Access and Core Cluster 2 3 Optical Ethernet Access DWDM Core 4 5 NM Controls S/Autonomous Sensor 1 Entity NM Controls S/Autonomous Sensor 8 Entity INMS OSS High-Performance Off-Line Analysis by Modeling and Simulation Of Integrated Optical Ethernet Access Network & DWDM core Network 19 Detailed NM Analysis & Result

20 Fault Management Cause Unprotected Node or Link Fails Data link layer : Excessive collisions, Misaligned frames Diff between FCS numbers of PDUs sent/received Solution Approach ASE forces re-transmission of appropriate frames INMS updates its graph representation of ASE topology based on failure removal or addition of a node Graph representation identifies hard to reach domain 20

21 Configuration Management Adjust tunable parameters of Access and Core nodes Employ network engineering rules, admin policies 21

22 Performance Management Example Traffic Analysis and Control QoS Assessment Solution Approach ASE Detects, counts and reports dominant parameters at bit level 22

23 Performance Management Sample Performance Parameters Data link layer Frames transmitted, number of collisions, number of FCS errors, number of frame alignment errors.. Network layer Number of data units sent/received, bytes sent/received Transport layer Total data sent/received, number PDUs sent/received, number of connection established/rejected, 23

24 Summary Real-time NM based on shared intelligence of three independent systems SCS, INMS, ASE The INMS dynamically incorporates additional behavior into an executing ASE application The ASE application dynamically steers the measurement process The SCS transforms FCAPS functions to Service Applications model Decentralized NM framework provides integrated view of access and core networks 24

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