A Proposed Framework for Ranking and Reservation of Cloud Services Based on Quality of Service

Size: px
Start display at page:

Download "A Proposed Framework for Ranking and Reservation of Cloud Services Based on Quality of Service"

Transcription

1 II,III A Proposed Framework for Ranking and Reservation of Cloud Services Based on Quality of Service I Samir.m.zaid, II Hazem.m.elbakry, III Islam.m.abdelhady I Dept. of Geology, Faculty of Sciences, zagazig University, Egypt Dept. of Information Systems, Faculty of Computer and Information Sc., Mansoura Univ., Egypt Abstract Cloud Computing is integrated model of software, hardware, and middleware that has been provided as a service. Cloud computing is becoming progressively more significant. In recent years with the rapid growth of cloud computing more and more organizations and companies started to offer cloud services to consumers on the basis of their functional and non-functional requirement. Currently no software framework can index cloud services based on their needs, because of diversity offers from services of cloud. Hence, in this paper, we propose a framework for ranking and reservation cloud services from clouds based on some features such as quality of services (QoS) attributes, performance and increase the competition between cloud providers. The contribution of this paper over the work presented in [10] is that the number of QoS attributes is increased to achieve more accurate results. I. Introduction In the last years the development of systems based on services of cloud has grown in importance [1].The Cloud computing can be define as management of resources, applications and information as services through the internet under request. Instead of purchasing actual physical devices servers, storage, or any networks equipment[2].in recent years with the rapid growth of cloud computing many organizations and companies started to offer their services to different kinds of consumers like Amazon, HP and IBM [3]. Every user of clouds prefer to use cloud services wants to apply one cloud service for own application has different requirement [4]. There are three types for providing services they are software, platform and infrastructure, Service means an act of help or assistance to the user, every service serves a different purpose and offers different products for individual people and businesses in every place in the world in first software as a service all customers can access to all services these services are located on the cloud and software is managed and owned via providers Software as a Service and customers can access to these services over the public internet. In second model platform as a service enables all customers to organize their own software and application in the cloud. In third model infrastructure as a Service Provides a set of virtualized computing resources (storage capacity, network bandwidth, processing power, memory) in the clouds [5]. Cloud computing is new technology that allows people to use their applications from any place in the world and from any computers without any installation [6].Cloud computing allows more than efficacious computing via processing, bandwidth, memory and centralization storage, in cloud computing environment every user wants to use cloud services has its own requirements. Therefore the users of cloud can choose the most appropriate service that can fulfills their requirements, in the general the aims from ranking services of cloud are assistant users to estimate, compare and choose from different services that services can satisfy their requirements from clouds,the ranking mechanism help users and customers to select the service providers that will provide the best performance and satisfy their requirements from quality of service attributes,selecting services provider based on our quality of service attributes are very important to success our business. II. Related work The aim from cloud computing is to distribute a network of virtual services so that consumers might be arrive to them from anyplace in the world on payment at competitive costs depending on their quality of service (QoS) requirements [9].Because of increased number of requests from services of cloud the services provider can t deliver the requested services at the right time so the author proposed novel framework for ranking and advanced reservation by using quality of service (QoS) attributes, implementation all those attributes aren t used but the characteristics are explained [7]. The authors proposed a quality of service ranking prediction framework for services of Cloud via taking past service usage experiences of consumers, framework that used to avoid expensive real-world service invocations and time-consuming [8]. The authors proposed a framework to measure the quality and prioritize services of cloud, this framework increase the competition between Cloud providers and makes significant impact, this technique is used only for quantifiable quality of service (QoS) attributes and it is not suitable for non-quantifiable quality of service attributes [9]. The aim is to satisfy the user s quality of service requirements via selecting the better infrastructure as a service service. Together, the combined services can offer the better service of cloud to the users via our selection system. III. Proposed Framework That framework includes diversity clouds and services processing unit. The services processing unit in that framework includes these units: provision unit, ranking unit and reservation unit. A. Provision Unit Provision unit be central among consumers of clouds and providers of services through: 1- Presenting all requests from users to providers of services. 2- Aggregating all requests and offers. 3- Responsible about generating a unique id for all requests and offers. 4- After that will providing mapping for all submitted offers and request. 5- Presenting all offers to the ranking unit. 6- Aggregating all ranked offers and presenting it to users. 7- Aggregating resources choice by users and presenting it to reservation unit. 195

2 ISSN : (Online) Fig. 1: Cloud Framework [10]. B. Ranking Unit When there are multiple service providers and we want to choice from them, there will be confusion which service they can use and what is the basis for their choice. To avert this scenario ranking mechanism is included. In that unit we will provide ranking for services of clouds via forming hierarchical structure of the quality of service attributes. That attributes are calculated and categorized as first, second and third. Then the relative weights for all attributes are assigned randomly. After that we will calculate ranking vector and ranking matrix for each attributes. In the final the second level ranking vector are aggregated to calculate the ranking matrix of first level attributes and the first level ranking vector aggregated to get the last ranking Matrix. C. Reservation Unit Reservation unit in that framework is responsible about generating a unique reservation id for every reservation request. After that it will get the resources selected by the user, reservation time and period of the cloud selected. With all that details the reservation unit will check the availability. If the requested resources are available for the requested time the reservation unit will close the reserved resources for the reserved period. IV. Hirarachical Structure of Qos Attributes for Ranking That attributes provide the classification of QoS attributes wanted via the customers for choosing the appropriate service providers they are [9][15] Reliability This type of attributes responsible about keeps operating over time without any fail Scalability Scalability is an ability of infrastructure as a service to function well without degradation of other quality of service attributes and Scalability is an ability to scale to any size you want and to be available wherever you want the service Agility The agility is represents important feature of clouds, with agility the organization and companies can extend and will change without any disbursement When we going to clouds the first question the organization will think about it before the organization decide to use clouds is that whether the cost efficacious or not. So, cost is certainly active attributes for IT Assurance All organization prefers and looks to increase their business and provide best services to their customers. So, resiliency, accuracy, and service constancy will be very important for customers before use Cloud services Performance In clouds there will be numerous different solutions and characteristic presented via providers of clouds addressing the IT needs of different organizations and companies. Every solution has different performance in its cloud services in expressions of functionality. Precision and time of service response Security The hosting data and protect it in other organizations is always critical issues which require rigorous security policies by Cloud providers Accountability That is representing major factor to build trust between customers and service providers, the accountability very important to make confidence of a customer on the cloud. V. Case study In our case study we will work on three cloud providers and three user requirements, the cloud providers are Rackspace, windows azure and amazon EC2 they are have geographical distributed and redundant data centers prevalence around the world [11][12][13]. The global availability and failover is provided to customers by them, the data in our case study is aggregated from three cloud providers we mentioned in above for Infrastructure as a Service (IaaS) [14]. We set different priorities and numeric weights for users requirements and we will calculate all steps to ranking computation process for Cloud services under our case study. But in the first we will explain the model will used to compute all these attributes. The relative ranking model for each type of quality of service attributes will be [9]: Boolean: si/sj = 1 if vi vj = wq if vj = 1 and vi = 0 = 1/wq if vj = 0 and vi = Numeric: Numeric can describe in two types If higher is better than it is vi / vj is the value of si/sj. If lower value is better, vj/vi is the value of si/sj Unordered set: Size (vi) Si/sj = Size (vj) 5.4. Range type: Len (vi vr) Si/sj = Len (vj vr) Wq be the weights given by the user. Vi and vj are the values of the attributes q for cloud services i and j 2013, IJARCST All Rights Reserved 196

3 Si and sj be the cloud services,si/sj indicate relative rank of si over sj. Vr be the required value specified by the user. By using compression matrix in above we will get one to one compression of every cloud service for specific attributes. In first step we will calculate the ranking matrix for accountability via data in table 1 for accountability that is showed in figure 2. This window connects to other window has the ranking matrix for all weights of user and weights of cloud services and will compute ranking matrix with the weights of user 1. Fig. 4 : Compute ranking vector for user requirement one Fig. 2: ranking matrix for accountability Ranking Vector for accountability will be: ( ) In related way compute ranking vector of other quality of service attributes: Security, agility, assurance, cost, performance, reliability and scalability Security ( ) agility ( ), assurance ( ), cost ( ), performance ( ), reliability ( ), scalability ( ) In the last, the total ranking vector of all the attributes will be: After that we will add all user requirements in other windows application which is illustrated in figure 3 For user requirement one (1): ( ). In related way the ranking vector for user requirement two (2) by compute ranking matrix with the weights of user 2. For user requirement two (2): ( ). In related way the ranking vector for user requirement three (3) by compute ranking matrix with the weights of user 3. For user requirement three (3): ( ). For user requirement 1: The values will be ( ). Based on the user requirement 1, the ranked for services of cloud will be Service two (2) > service three (3) >service one (1). For user requirement two 2: The values will be ( ). Based on the user 2 user requirements, the ranked for services of cloud will be Service three (3) >Service two (2)>Service one (1) For user requirement three 3: The values will be ( ). Based on the user requirement three (3), the ranked for services of cloud will be Service one (1) >Service three (3)> service two (2). In this step we will show all comparisons for all user requirements in figure 4 For user requirement one (1) Cloud service 2 will be better in security and reliability. For user requirement two(2) Cloud service 3 will be better in agility and accountability. For user requirement three(3) Cloud service 1 will be better in security and agility. Fig. 3 : user requirement 197

4 ISSN : (Online) Fig. 5: Clouds services comparison VI. Conclusion The major advantage of our proposed framework will provide ranking and reservation schemes which the customer can access the right resources at right time without any failure, so our proposed framework exhibits an improvement over existing frameworks already being employed. Else, will assist cloud customers to select the best service provider who fulfills their quality of service requirements. Moreover, for the user who wants to select the best providers based on his requirements must use our proposed framework by ignoring all unnecessary attributes or by increasing the weight of their required attributes. References [1] M. L opez-sanz, C.J. Acu na,c. E. Cuesta, E.Marcos, Modelling of Service-Oriented Architectures with UML, Electronic Notes in Theoretical Computer Science, Elsevier, vol.194,no. 4, pp , [2] A Malik, M. Mohsin, Security Framework for Cloud Computing Environment: A Review, Vol. 3, No. 3, pp , March, [3] Takhellambam Martin Singh, MTech Md Nurul Hasan, MTech Subhranshu sekhartripathy, MTech Better Ranking Of Qos Feedback System in Cloud Computing,International Journal of Advanced Research (2014), Volume 2, Issue 4, [4] Arezoo Jahani, Leyli Mohammad Khanli, Seyed Naser Razavi W_SR: A QoS Based Ranking Approach for Cloud Computing Service ISSN: [5] F. Chen, X. Bai, and B. Liu, Efficient Service Discovery for Cloud Computing Environments, Advanced Research on Computer Science and Information Engineering Communications in Computer an Information Science, Springer, vol. 153, pp , [6] Security Guidance for Critical Areas of Focus in Cloud Computing, in Cloud Security Alliance (ASA), April, [7] Mr. K. Saravanan, M.Lakshmi Kantham, An enhanced QoS Architecture based Framework for Ranking of Cloud Services, in the Proceedings International Journal of Engineering Trends and Technology (IJETT), Vol. 4, Issue 4, pp , April, [8] Zibin Zheng, Xinmiao Wu, Yilei Zhang, Michael R. Lyu and Jianmin Wang, QoS Ranking Prediction for Cloud Services, Published in IEEE Transactions on Parallel and Distributed Systems, Vol. 24, No. 6, pp , June, [9] S. Kumar, S. Versteeg, R. Buyya A framework for ranking of cloud computing services, in Future Generation Computer Systems; Vol. 29, No. 4, pp June, [10] Mamoun Hussein Mamoun, Eslam Mohamed Ibrahim A Proposed Framework for Ranking and Reservation of Cloud Services International Journal of Engineering and Technology Volume 4 No. 9, September, [11] J. Saurabh Kumar Garg, Steve Versteeg and Rajkumar Buyya, A Framework for Ranking of Cloud Computing Services, in ELSEVIER of Future Generation Computer Systems Vol. 29, No. 4, pp , June, 2013 [12] A. Li, X. Yang, S. Kandula, M. Zhang, CloudCmp: comparing public cloud providers, in Proceeding of The 10th ACM SIGCOMM conference on Internet measurement, Melbourne, Australia, pp. 1-14, Nov.,2010. [13] A. Iosup, N. Yigitbasi, D. Epema, On the performance variability of production cloud services, in Proceedings of IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing, CA, USA, pp , May, [14] yoursystems-to-the- public-cloud.aspx last visited [15] J. Saurabh Kumar Garg, Steve Versteeg and Rajkumar Buyya, SIMCloud: A Framework for Comparing And Ranking Cloud Services in 4th IEEE International Conference in Utility and Cloud Computing, pp , Dec., Table 1 : User request weight weight user request Accountability w1 Security w2 Agility w3 Assurance w4 w5 Performance w6 Reliability W7 Scalability W8 User Requirement User Requirement User Requirement Table 2: Case Study high Level QoS 1st Level Attributes 2nd Level Attributes Service 1 (S1) Service 2 (S2) Service 3 (S3) Requirement1 Requirement 2 Requirement3 2013, IJARCST All Rights Reserved 198

5 Accountability (Weight 1) Security (Weight 2) Agility (Weight 3) Assurance (Weight 4) Capacity (0.6) Elasticity (4) Availability (0.7) Service Stability CPU Disk (1) Upload CPU (0.4) GHZ 9 GHZ 8.5 GHZ GB 12 GB 10 GB GB 700 GB 750 GB Sec Sec 99.95% Sec 99.99% 100% 99.9% 99% 99% Serviceability (0.1) Free Support (0.7) ,,, (Weight 5) On-Going VM (0.6) Data Storage <1 $/hour <1 $/hour <1 $/hour GB/ 120 GB/ 110 GB/ GB 1000 GB 700 GB Performance (Weight 6) Service Range Average Value Sec Sec Sec Reliability(Weight 7) Scalability(Weight 8)

An enhanced QoS Architecture based Framework for Ranking of Cloud Services

An enhanced QoS Architecture based Framework for Ranking of Cloud Services An enhanced QoS Architecture based Framework for Ranking of Cloud Services Mr.K.Saravanan #1, M.Lakshmi Kantham #2 1 Assistant Professor, 2 PG Scholar Department of Computer Science and Engineering Anna

More information

SMICloud: A Framework for Comparing and Ranking Cloud Services

SMICloud: A Framework for Comparing and Ranking Cloud Services 2011 Fourth IEEE International Conference on Utility and Cloud Computing SMICloud: A Framework for Comparing and Ranking Cloud Services Saurabh Kumar Garg, Steve Versteeg and Rajkumar Buyya Cloud Computing

More information

Efficient Algorithm for Predicting QOS in Cloud Services Sangeeta R. Alagi, Srinu Dharavath

Efficient Algorithm for Predicting QOS in Cloud Services Sangeeta R. Alagi, Srinu Dharavath Efficient Algorithm for Predicting QOS in Cloud Services Sangeeta R. Alagi, Srinu Dharavath Abstract Now a days, Cloud computing is becoming more popular research topic. Building high-quality cloud applications

More information

Achieve Better Ranking Accuracy Using CloudRank Framework for Cloud Services

Achieve Better Ranking Accuracy Using CloudRank Framework for Cloud Services Achieve Better Ranking Accuracy Using CloudRank Framework for Cloud Services Ms. M. Subha #1, Mr. K. Saravanan *2 # Student, * Assistant Professor Department of Computer Science and Engineering Regional

More information

A Cloud Service Measure Index Framework to Evaluate Efficient Candidate with Ranked Technology

A Cloud Service Measure Index Framework to Evaluate Efficient Candidate with Ranked Technology A Cloud Service Measure Index Framework to Evaluate Efficient Candidate with Ranked Technology Shruthi Shirur 1, Annappa Swamy D. R. 2 1 M. Tech, CSE Department, Mangalore Institute of Technology & Engineering

More information

K.Niha, Dr. W.Aisha Banu, Ruby Anette

K.Niha, Dr. W.Aisha Banu, Ruby Anette International Journal of Scientific & Engineering Research, Volume 6, Issue 4, April-2015 41 A Cloud Service Providers Ranking System Using Ontology K.Niha, Dr. W.Aisha Banu, Ruby Anette Abstract Cloud

More information

RANKING OF CLOUD SERVICE PROVIDERS IN CLOUD

RANKING OF CLOUD SERVICE PROVIDERS IN CLOUD RANKING OF CLOUD SERVICE PROVIDERS IN CLOUD C.S. RAJARAJESWARI, M. ARAMUDHAN Research Scholar, Bharathiyar University,Coimbatore, Tamil Nadu, India. Assoc. Professor, Department of IT, PKIET, Karaikal,

More information

Full Length Research Article

Full Length Research Article Available online at http://www.journalijdr.com International Journal of DEVELOPMENT RESEARCH ISSN: 2230-9926 International Journal of Development Research Vol. 4, Issue, 5, pp. 1035-1040, May, 2014 Full

More information

Ranking of Cloud Services Using Cumulative Sum Method

Ranking of Cloud Services Using Cumulative Sum Method Journal of Computer Science and Applications. ISSN 2231-1270 Volume 6, Number 2 (2014), pp. 99-105 International Research Publication House http://www.irphouse.com Ranking of Cloud s Using Cumulative Sum

More information

Future Generation Computer Systems

Future Generation Computer Systems Future Generation Computer Systems 29 (2013) 1012 1023 Contents lists available at SciVerse ScienceDirect Future Generation Computer Systems journal homepage: www.elsevier.com/locate/fgcs A framework for

More information

Cloud Broker for Reputation-Enhanced and QoS based IaaS Service Selection

Cloud Broker for Reputation-Enhanced and QoS based IaaS Service Selection Proc. of Int. Conf. on Advances in Communication, Network, and Computing, CNC Cloud Broker for Reputation-Enhanced and QoS based IaaS Service Selection Ruby Annette.J 1, Dr. Aisha Banu.W 2 and Dr.Sriram

More information

Resource Allocation Avoiding SLA Violations in Cloud Framework for SaaS

Resource Allocation Avoiding SLA Violations in Cloud Framework for SaaS Resource Allocation Avoiding SLA Violations in Cloud Framework for SaaS Shantanu Sasane Abhilash Bari Kaustubh Memane Aniket Pathak Prof. A. A.Deshmukh University of Pune University of Pune University

More information

PERFORMANCE ANALYSIS OF PaaS CLOUD COMPUTING SYSTEM

PERFORMANCE ANALYSIS OF PaaS CLOUD COMPUTING SYSTEM PERFORMANCE ANALYSIS OF PaaS CLOUD COMPUTING SYSTEM Akmal Basha 1 Krishna Sagar 2 1 PG Student,Department of Computer Science and Engineering, Madanapalle Institute of Technology & Science, India. 2 Associate

More information

Cloud Computing Simulation Using CloudSim

Cloud Computing Simulation Using CloudSim Cloud Computing Simulation Using CloudSim Ranjan Kumar #1, G.Sahoo *2 # Assistant Professor, Computer Science & Engineering, Ranchi University, India Professor & Head, Information Technology, Birla Institute

More information

RANKING THE CLOUD SERVICES BASED ON QOS PARAMETERS

RANKING THE CLOUD SERVICES BASED ON QOS PARAMETERS RANKING THE CLOUD SERVICES BASED ON QOS PARAMETERS M. Geetha 1, K. K. Kanagamathanmohan 2, Dr. C. Kumar Charlie Paul 3 Department of Computer Science, Anna University Chennai. A.S.L Paul s College of Engineering

More information

EFFECTIVE DATA RECOVERY FOR CONSTRUCTIVE CLOUD PLATFORM

EFFECTIVE DATA RECOVERY FOR CONSTRUCTIVE CLOUD PLATFORM INTERNATIONAL JOURNAL OF REVIEWS ON RECENT ELECTRONICS AND COMPUTER SCIENCE EFFECTIVE DATA RECOVERY FOR CONSTRUCTIVE CLOUD PLATFORM Macha Arun 1, B.Ravi Kumar 2 1 M.Tech Student, Dept of CSE, Holy Mary

More information

An Effective Approach To Find a Best Cloud Service Provider Using Ranked Voting Method

An Effective Approach To Find a Best Cloud Service Provider Using Ranked Voting Method An Effective Approach To Find a Best Cloud Service Provider Using Ranked Voting Method Vidyashree C.N M.Tech, Dept of CSE PESCE, Mandya vidyashreec.n57@gmail.com V Chetan Kumar Asst.Prof, Dept of CSE PESCE,

More information

Design of Customer-Oriented Cloud Products

Design of Customer-Oriented Cloud Products Design of Customer-Oriented Cloud Products Gülfem Isiklar Alptekin, S. Emre Alptekin Abstract Cloud computing is defined as a scalable services consumption and delivery platform that allows enterprises

More information

Reallocation and Allocation of Virtual Machines in Cloud Computing Manan D. Shah a, *, Harshad B. Prajapati b

Reallocation and Allocation of Virtual Machines in Cloud Computing Manan D. Shah a, *, Harshad B. Prajapati b Proceedings of International Conference on Emerging Research in Computing, Information, Communication and Applications (ERCICA-14) Reallocation and Allocation of Virtual Machines in Cloud Computing Manan

More information

Profit Maximization Of SAAS By Reusing The Available VM Space In Cloud Computing

Profit Maximization Of SAAS By Reusing The Available VM Space In Cloud Computing www.ijecs.in International Journal Of Engineering And Computer Science ISSN: 2319-7242 Volume 4 Issue 8 Aug 2015, Page No. 13822-13827 Profit Maximization Of SAAS By Reusing The Available VM Space In Cloud

More information

Exploring Resource Provisioning Cost Models in Cloud Computing

Exploring Resource Provisioning Cost Models in Cloud Computing Exploring Resource Provisioning Cost Models in Cloud Computing P.Aradhya #1, K.Shivaranjani *2 #1 M.Tech, CSE, SR Engineering College, Warangal, Andhra Pradesh, India # Assistant Professor, Department

More information

Evaluating Cloud Services Using DEA, AHP and TOPSIS model Carried out at the

Evaluating Cloud Services Using DEA, AHP and TOPSIS model Carried out at the A Summer Internship Project Report On Evaluating Cloud Services Using DEA, AHP and TOPSIS model Carried out at the Institute of Development and Research in Banking Technology, Hyderabad Established by

More information

Infrastructure as a Service (IaaS)

Infrastructure as a Service (IaaS) Infrastructure as a Service (IaaS) (ENCS 691K Chapter 4) Roch Glitho, PhD Associate Professor and Canada Research Chair My URL - http://users.encs.concordia.ca/~glitho/ References 1. R. Moreno et al.,

More information

IMPLEMENTATION OF NOVEL MODEL FOR ASSURING OF CLOUD DATA STABILITY

IMPLEMENTATION OF NOVEL MODEL FOR ASSURING OF CLOUD DATA STABILITY INTERNATIONAL JOURNAL OF ADVANCED RESEARCH IN ENGINEERING AND SCIENCE IMPLEMENTATION OF NOVEL MODEL FOR ASSURING OF CLOUD DATA STABILITY K.Pushpa Latha 1, V.Somaiah 2 1 M.Tech Student, Dept of CSE, Arjun

More information

Performance Analysis of Resource Provisioning for Cloud Computing Frameworks

Performance Analysis of Resource Provisioning for Cloud Computing Frameworks Proc. of Int. Conf. on Advances in Communication, Network, and Computing, CNC Performance Analysis of Resource Provisioning for Cloud Computing Frameworks Sanjeev Kumar Pippal 1, Rahul Kumar Dubey 2, Arjun

More information

Auto-Scaling Model for Cloud Computing System

Auto-Scaling Model for Cloud Computing System Auto-Scaling Model for Cloud Computing System Che-Lun Hung 1*, Yu-Chen Hu 2 and Kuan-Ching Li 3 1 Dept. of Computer Science & Communication Engineering, Providence University 2 Dept. of Computer Science

More information

Figure 1. The cloud scales: Amazon EC2 growth [2].

Figure 1. The cloud scales: Amazon EC2 growth [2]. - Chung-Cheng Li and Kuochen Wang Department of Computer Science National Chiao Tung University Hsinchu, Taiwan 300 shinji10343@hotmail.com, kwang@cs.nctu.edu.tw Abstract One of the most important issues

More information

Keywords: Cloudsim, MIPS, Gridlet, Virtual machine, Data center, Simulation, SaaS, PaaS, IaaS, VM. Introduction

Keywords: Cloudsim, MIPS, Gridlet, Virtual machine, Data center, Simulation, SaaS, PaaS, IaaS, VM. Introduction Vol. 3 Issue 1, January-2014, pp: (1-5), Impact Factor: 1.252, Available online at: www.erpublications.com Performance evaluation of cloud application with constant data center configuration and variable

More information

International Journal of Advance Research in Computer Science and Management Studies

International Journal of Advance Research in Computer Science and Management Studies Volume 3, Issue 6, June 2015 ISSN: 2321 7782 (Online) International Journal of Advance Research in Computer Science and Management Studies Research Article / Survey Paper / Case Study Available online

More information

IMPROVEMENT OF RESPONSE TIME OF LOAD BALANCING ALGORITHM IN CLOUD ENVIROMENT

IMPROVEMENT OF RESPONSE TIME OF LOAD BALANCING ALGORITHM IN CLOUD ENVIROMENT IMPROVEMENT OF RESPONSE TIME OF LOAD BALANCING ALGORITHM IN CLOUD ENVIROMENT Muhammad Muhammad Bala 1, Miss Preety Kaushik 2, Mr Vivec Demri 3 1, 2, 3 Department of Engineering and Computer Science, Sharda

More information

Available online at http://acfa.apeejay.edu APEEJAY JOURNAL OF COMPUTER SCIENCE AND APPLICATIONS ISSN: 0974-5742(P)

Available online at http://acfa.apeejay.edu APEEJAY JOURNAL OF COMPUTER SCIENCE AND APPLICATIONS ISSN: 0974-5742(P) COMPARATIVE ANALYSIS OF VARIOUS CLOUD TECHNOLOGIES Harmandeep Singh P.hd Research Scholar, Punjab Technical University, Jallandhar-Kapurtahla Highway, Kapurthala-144601(Punjab), INDIA Abstract With the

More information

Permanent Link: http://espace.library.curtin.edu.au/r?func=dbin-jump-full&local_base=gen01-era02&object_id=154091

Permanent Link: http://espace.library.curtin.edu.au/r?func=dbin-jump-full&local_base=gen01-era02&object_id=154091 Citation: Alhamad, Mohammed and Dillon, Tharam S. and Wu, Chen and Chang, Elizabeth. 2010. Response time for cloud computing providers, in Kotsis, G. and Taniar, D. and Pardede, E. and Saleh, I. and Khalil,

More information

Towards Comparative Evaluation of Cloud Services

Towards Comparative Evaluation of Cloud Services Towards Comparative Evaluation of Cloud Services Farrukh Nadeem Department of Information Systems, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia. Abstract:

More information

International Journal of Computer & Organization Trends Volume21 Number1 June 2015 A Study on Load Balancing in Cloud Computing

International Journal of Computer & Organization Trends Volume21 Number1 June 2015 A Study on Load Balancing in Cloud Computing A Study on Load Balancing in Cloud Computing * Parveen Kumar * Er.Mandeep Kaur Guru kashi University,Talwandi Sabo Guru kashi University,Talwandi Sabo Abstract: Load Balancing is a computer networking

More information

Cloud deployment model and cost analysis in Multicloud

Cloud deployment model and cost analysis in Multicloud IOSR Journal of Electronics and Communication Engineering (IOSR-JECE) ISSN: 2278-2834, ISBN: 2278-8735. Volume 4, Issue 3 (Nov-Dec. 2012), PP 25-31 Cloud deployment model and cost analysis in Multicloud

More information

A Survey on Cloud Computing

A Survey on Cloud Computing A Survey on Cloud Computing Poulami dalapati* Department of Computer Science Birla Institute of Technology, Mesra Ranchi, India dalapati89@gmail.com G. Sahoo Department of Information Technology Birla

More information

The Hidden Extras. The Pricing Scheme of Cloud Computing. Stephane Rufer

The Hidden Extras. The Pricing Scheme of Cloud Computing. Stephane Rufer The Hidden Extras The Pricing Scheme of Cloud Computing Stephane Rufer Cloud Computing Hype Cycle Definition Types Architecture Deployment Pricing/Charging in IT Economics of Cloud Computing Pricing Schemes

More information

Dynamic Resource Pricing on Federated Clouds

Dynamic Resource Pricing on Federated Clouds Dynamic Resource Pricing on Federated Clouds Marian Mihailescu and Yong Meng Teo Department of Computer Science National University of Singapore Computing 1, 13 Computing Drive, Singapore 117417 Email:

More information

A Dynamic Resource Management with Energy Saving Mechanism for Supporting Cloud Computing

A Dynamic Resource Management with Energy Saving Mechanism for Supporting Cloud Computing A Dynamic Resource Management with Energy Saving Mechanism for Supporting Cloud Computing Liang-Teh Lee, Kang-Yuan Liu, Hui-Yang Huang and Chia-Ying Tseng Department of Computer Science and Engineering,

More information

FEDERATED CLOUD: A DEVELOPMENT IN CLOUD COMPUTING AND A SOLUTION TO EDUCATIONAL NEEDS

FEDERATED CLOUD: A DEVELOPMENT IN CLOUD COMPUTING AND A SOLUTION TO EDUCATIONAL NEEDS International Journal of Computer Engineering and Applications, Volume VIII, Issue II, November 14 FEDERATED CLOUD: A DEVELOPMENT IN CLOUD COMPUTING AND A SOLUTION TO EDUCATIONAL NEEDS Saju Mathew 1, Dr.

More information

Efficient Cloud Management for Parallel Data Processing In Private Cloud

Efficient Cloud Management for Parallel Data Processing In Private Cloud 2012 International Conference on Information and Network Technology (ICINT 2012) IPCSIT vol. 37 (2012) (2012) IACSIT Press, Singapore Efficient Cloud Management for Parallel Data Processing In Private

More information

Cloud Computing Service Models, Types of Clouds and their Architectures, Challenges.

Cloud Computing Service Models, Types of Clouds and their Architectures, Challenges. Cloud Computing Service Models, Types of Clouds and their Architectures, Challenges. B.Kezia Rani 1, Dr.B.Padmaja Rani 2, Dr.A.Vinaya Babu 3 1 Research Scholar,Dept of Computer Science, JNTU, Hyderabad,Telangana

More information

Multilevel Communication Aware Approach for Load Balancing

Multilevel Communication Aware Approach for Load Balancing Multilevel Communication Aware Approach for Load Balancing 1 Dipti Patel, 2 Ashil Patel Department of Information Technology, L.D. College of Engineering, Gujarat Technological University, Ahmedabad 1

More information

Group Based Load Balancing Algorithm in Cloud Computing Virtualization

Group Based Load Balancing Algorithm in Cloud Computing Virtualization Group Based Load Balancing Algorithm in Cloud Computing Virtualization Rishi Bhardwaj, 2 Sangeeta Mittal, Student, 2 Assistant Professor, Department of Computer Science, Jaypee Institute of Information

More information

Research on Digital Agricultural Information Resources Sharing Plan Based on Cloud Computing *

Research on Digital Agricultural Information Resources Sharing Plan Based on Cloud Computing * Research on Digital Agricultural Information Resources Sharing Plan Based on Cloud Computing * Guifen Chen 1,**, Xu Wang 2, Hang Chen 1, Chunan Li 1, Guangwei Zeng 1, Yan Wang 1, and Peixun Liu 1 1 College

More information

Cloud Computing Services and its Application

Cloud Computing Services and its Application Advance in Electronic and Electric Engineering. ISSN 2231-1297, Volume 4, Number 1 (2014), pp. 107-112 Research India Publications http://www.ripublication.com/aeee.htm Cloud Computing Services and its

More information

Efficient Scheduling Of On-line Services in Cloud Computing Based on Task Migration

Efficient Scheduling Of On-line Services in Cloud Computing Based on Task Migration Efficient Scheduling Of On-line Services in Cloud Computing Based on Task Migration 1 Harish H G, 2 Dr. R Girisha 1 PG Student, 2 Professor, Department of CSE, PESCE Mandya (An Autonomous Institution under

More information

Hierarchical Trust Model to Rate Cloud Service Providers based on Infrastructure as a Service

Hierarchical Trust Model to Rate Cloud Service Providers based on Infrastructure as a Service Hierarchical Model to Rate Cloud Service Providers based on Infrastructure as a Service Supriya M 1, Sangeeta K 1, G K Patra 2 1 Department of CSE, Amrita School of Engineering, Amrita Vishwa Vidyapeetham,

More information

CLOUD computing has emerged as a new paradigm for

CLOUD computing has emerged as a new paradigm for IEEE TRANSACTIONS ON SERVICES COMPUTING, VOL. 7, NO. 3, JULY-SEPTEMBER 2014 465 SLA-Based Resource Provisioning for Hosted Software-as-a-Service Applications in Cloud Computing Environments Linlin Wu,

More information

Optimized Resource Allocation in Cloud Environment Based on a Broker Cloud Service Provider

Optimized Resource Allocation in Cloud Environment Based on a Broker Cloud Service Provider International Journal of Scientific and Research Publications, Volume 3, Issue 5, May 2013 1 Optimized Resource Allocation in Cloud Environment Based on a Broker Cloud Service Provider Jyothi.R.L *, Anilkumar.A

More information

A comparative study of major service providers for cloud computing

A comparative study of major service providers for cloud computing ICICTT, 2013 A comparative study of major service providers for cloud computing Noman Islam Team Lead, Research and Development Technology Promotion International Research Fellow Center for Research in

More information

QoS based Cloud Service Provider Selection Framework

QoS based Cloud Service Provider Selection Framework Abstract Research Journal of Recent Sciences ISSN 2277-2502 QoS based Cloud Service Provider Selection Framework Kumar N. and Agarwal S. Department of Computer Science, Babasaheb Bhimrao Ambedkar University,

More information

Efficient Qos Based Resource Scheduling Using PAPRIKA Method for Cloud Computing

Efficient Qos Based Resource Scheduling Using PAPRIKA Method for Cloud Computing Efficient Qos Based Resource Scheduling Using PAPRIKA Method for Cloud Computing Hilda Lawrance* Post Graduate Scholar Department of Information Technology, Karunya University Coimbatore, Tamilnadu, India

More information

A NOVEL LOAD BALANCING STRATEGY FOR EFFECTIVE UTILIZATION OF VIRTUAL MACHINES IN CLOUD

A NOVEL LOAD BALANCING STRATEGY FOR EFFECTIVE UTILIZATION OF VIRTUAL MACHINES IN CLOUD Available Online at www.ijcsmc.com International Journal of Computer Science and Mobile Computing A Monthly Journal of Computer Science and Information Technology IJCSMC, Vol. 4, Issue. 6, June 2015, pg.862

More information

Comparison of Trust Values using Triangular and Gaussian Fuzzy Membership Functions for Infrastructure as a Service

Comparison of Trust Values using Triangular and Gaussian Fuzzy Membership Functions for Infrastructure as a Service Proc. of Int. Conf. on Advances in Communication, Network, and Computing, CNC Comparison of Trust Values using Triangular and Gaussian Fuzzy Membership Functions for Infrastructure as a Service A. Supriya

More information

Near Sheltered and Loyal storage Space Navigating in Cloud

Near Sheltered and Loyal storage Space Navigating in Cloud IOSR Journal of Engineering (IOSRJEN) e-issn: 2250-3021, p-issn: 2278-8719 Vol. 3, Issue 8 (August. 2013), V2 PP 01-05 Near Sheltered and Loyal storage Space Navigating in Cloud N.Venkata Krishna, M.Venkata

More information

Heterogeneous Workload Consolidation for Efficient Management of Data Centers in Cloud Computing

Heterogeneous Workload Consolidation for Efficient Management of Data Centers in Cloud Computing Heterogeneous Workload Consolidation for Efficient Management of Data Centers in Cloud Computing Deep Mann ME (Software Engineering) Computer Science and Engineering Department Thapar University Patiala-147004

More information

BPM Architecture Design Based on Cloud Computing

BPM Architecture Design Based on Cloud Computing Intelligent Information Management, 2010, 2, 329-333 doi:10.4236/iim.2010.25039 Published Online May 2010 (http://www.scirp.org/journal/iim) BPM Architecture Design Based on Cloud Computing Abstract Zhenyu

More information

Cost Effective Approach for Automatic Service Provider Selection in Cloud Computing

Cost Effective Approach for Automatic Service Provider Selection in Cloud Computing Cost Effective Approach for Automatic Service Provider Section in Cloud Computing Preeti Gulia 1, Sumedha Sood 2 1,2 (Department of Computer Science and Applications, M.D. University, Rohtak, Haryana,

More information

Comparison of Various Particle Swarm Optimization based Algorithms in Cloud Computing

Comparison of Various Particle Swarm Optimization based Algorithms in Cloud Computing Comparison of Various Particle Swarm Optimization based Algorithms in Cloud Computing Er. Talwinder Kaur M.Tech (CSE) SSIET, Dera Bassi, Punjab, India Email- talwinder_2@yahoo.co.in Er. Seema Pahwa Department

More information

Resource Management In Cloud Computing With Increasing Dataset

Resource Management In Cloud Computing With Increasing Dataset Resource Management In Cloud Computing With Increasing Dataset Preeti Agrawal 1, Yogesh Rathore 2 1 CSE Department, CSVTU, RIT, Raipur, Chhattisgarh, INDIA Abstract In this paper we present the cloud computing

More information

A MECHANICS FOR ASSURING DATA STORAGE SECURITY IN CLOUD COMPUTING

A MECHANICS FOR ASSURING DATA STORAGE SECURITY IN CLOUD COMPUTING A MECHANICS FOR ASSURING DATA STORAGE SECURITY IN CLOUD COMPUTING 1, 2 Pratibha Gangwar, 3 Mamta Gadoria 1 M. Tech. Scholar, Jayoti Vidyapeeth Women s University, Jaipur, priya25mehta@gmail.com 2 M. Tech.

More information

Green Cloud Computing 班 級 : 資 管 碩 一 組 員 :710029011 黃 宗 緯 710029021 朱 雅 甜

Green Cloud Computing 班 級 : 資 管 碩 一 組 員 :710029011 黃 宗 緯 710029021 朱 雅 甜 Green Cloud Computing 班 級 : 資 管 碩 一 組 員 :710029011 黃 宗 緯 710029021 朱 雅 甜 Outline Introduction Proposed Schemes VM configuration VM Live Migration Comparison 2 Introduction (1/2) In 2006, the power consumption

More information

Optimal Service Pricing for a Cloud Cache

Optimal Service Pricing for a Cloud Cache Optimal Service Pricing for a Cloud Cache K.SRAVANTHI Department of Computer Science & Engineering (M.Tech.) Sindura College of Engineering and Technology Ramagundam,Telangana G.LAKSHMI Asst. Professor,

More information

Comparative Study of Resource Provisioning in Clouds by an administrator to deploy applications

Comparative Study of Resource Provisioning in Clouds by an administrator to deploy applications International Journal of Advanced Computer Communications and Control Vol. 02, No. 01, January 2014 Comparative Study of Resource Provisioning in Clouds by an administrator to deploy applications P.R.S.M.

More information

International Journal of Computer Science Trends and Technology (IJCST) Volume 2 Issue 3, May-Jun 2014

International Journal of Computer Science Trends and Technology (IJCST) Volume 2 Issue 3, May-Jun 2014 RESEARCH ARTICLE OPEN ACCESS Survey of Optimization of Scheduling in Cloud Computing Environment Er.Mandeep kaur 1, Er.Rajinder kaur 2, Er.Sughandha Sharma 3 Research Scholar 1 & 2 Department of Computer

More information

Estimating Trust Value for Cloud Service Providers using Fuzzy Logic

Estimating Trust Value for Cloud Service Providers using Fuzzy Logic Estimating Trust Value for Cloud Service Providers using Fuzzy Logic Supriya M, Venkataramana L.J, K Sangeeta Department of Computer Science and Engineering, Amrita School of Engineering Kasavanahalli,

More information

Round Robin with Server Affinity: A VM Load Balancing Algorithm for Cloud Based Infrastructure

Round Robin with Server Affinity: A VM Load Balancing Algorithm for Cloud Based Infrastructure J Inf Process Syst, Vol.9, No.3, September 2013 pissn 1976-913X eissn 2092-805X http://dx.doi.org/10.3745/jips.2013.9.3.379 Round Robin with Server Affinity: A VM Load Balancing Algorithm for Cloud Based

More information

Statistics Analysis for Cloud Partitioning using Load Balancing Model in Public Cloud

Statistics Analysis for Cloud Partitioning using Load Balancing Model in Public Cloud Statistics Analysis for Cloud Partitioning using Load Balancing Model in Public Cloud 1 V.DIVYASRI, M.Tech (CSE) GKCE, SULLURPETA, v.sridivya91@gmail.com 2 T.SUJILATHA, M.Tech CSE, ASSOCIATE PROFESSOR

More information

Performance Testing of Cloud Storage while Using Spatial Data

Performance Testing of Cloud Storage while Using Spatial Data Performance Testing of Cloud while Using Spatial Data MARTIN LNENICKA 1, JITKA KOMARKOVA 1, EVA MILKOVA 2 1) Faculty of Economics and Administration University of Pardubice Studentska 95, 532 10 Pardubice

More information

Dynamic resource management for energy saving in the cloud computing environment

Dynamic resource management for energy saving in the cloud computing environment Dynamic resource management for energy saving in the cloud computing environment Liang-Teh Lee, Kang-Yuan Liu, and Hui-Yang Huang Department of Computer Science and Engineering, Tatung University, Taiwan

More information

Analysis of Service Broker Policies in Cloud Analyst Framework

Analysis of Service Broker Policies in Cloud Analyst Framework Journal of The International Association of Advanced Technology and Science Analysis of Service Broker Policies in Cloud Analyst Framework Ashish Sankla G.B Pant Govt. Engineering College, Computer Science

More information

Sla Aware Load Balancing Algorithm Using Join-Idle Queue for Virtual Machines in Cloud Computing

Sla Aware Load Balancing Algorithm Using Join-Idle Queue for Virtual Machines in Cloud Computing Sla Aware Load Balancing Using Join-Idle Queue for Virtual Machines in Cloud Computing Mehak Choudhary M.Tech Student [CSE], Dept. of CSE, SKIET, Kurukshetra University, Haryana, India ABSTRACT: Cloud

More information

The Theory And Practice of Testing Software Applications For Cloud Computing. Mark Grechanik University of Illinois at Chicago

The Theory And Practice of Testing Software Applications For Cloud Computing. Mark Grechanik University of Illinois at Chicago The Theory And Practice of Testing Software Applications For Cloud Computing Mark Grechanik University of Illinois at Chicago Cloud Computing Is Everywhere Global spending on public cloud services estimated

More information

Experimental Evaluation of Energy Savings of Virtual Machines in the Implementation of Cloud Computing

Experimental Evaluation of Energy Savings of Virtual Machines in the Implementation of Cloud Computing 1 Experimental Evaluation of Energy Savings of Virtual Machines in the Implementation of Cloud Computing Roberto Rojas-Cessa, Sarh Pessima, and Tingting Tian Abstract Host virtualization has become of

More information

Comparison of PBRR Scheduling Algorithm with Round Robin and Heuristic Priority Scheduling Algorithm in Virtual Cloud Environment

Comparison of PBRR Scheduling Algorithm with Round Robin and Heuristic Priority Scheduling Algorithm in Virtual Cloud Environment www.ijcsi.org 99 Comparison of PBRR Scheduling Algorithm with Round Robin and Heuristic Priority Scheduling Algorithm in Cloud Environment Er. Navreet Singh 1 1 Asst. Professor, Computer Science Department

More information

Comparison of Dynamic Load Balancing Policies in Data Centers

Comparison of Dynamic Load Balancing Policies in Data Centers Comparison of Dynamic Load Balancing Policies in Data Centers Sunil Kumar Department of Computer Science, Faculty of Science, Banaras Hindu University, Varanasi- 221005, Uttar Pradesh, India. Manish Kumar

More information

CHAPTER 8 CLOUD COMPUTING

CHAPTER 8 CLOUD COMPUTING CHAPTER 8 CLOUD COMPUTING SE 458 SERVICE ORIENTED ARCHITECTURE Assist. Prof. Dr. Volkan TUNALI Faculty of Engineering and Natural Sciences / Maltepe University Topics 2 Cloud Computing Essential Characteristics

More information

International Journal of Innovative Research in Computer and Communication Engineering

International Journal of Innovative Research in Computer and Communication Engineering Achieve Ranking Accuracy Using Cloudrank Framework for Cloud Services R.Yuvarani 1, M.Sivalakshmi 2 M.E, Department of CSE, Syed Ammal Engineering College, Ramanathapuram, India ABSTRACT: Building high

More information

An Efficient Frame of Reference for the Selection of Best Cloud Service Provider

An Efficient Frame of Reference for the Selection of Best Cloud Service Provider An Efficient Frame of Reference for the Selection of Best Cloud Service Provider Bhushan N B M. Tech, CSE Department, MSRIT College, Bangalore, India Abstract: The recent technology term Cloud computing

More information

CUMULUX WHICH CLOUD PLATFORM IS RIGHT FOR YOU? COMPARING CLOUD PLATFORMS. Review Business and Technology Series www.cumulux.com

CUMULUX WHICH CLOUD PLATFORM IS RIGHT FOR YOU? COMPARING CLOUD PLATFORMS. Review Business and Technology Series www.cumulux.com ` CUMULUX WHICH CLOUD PLATFORM IS RIGHT FOR YOU? COMPARING CLOUD PLATFORMS Review Business and Technology Series www.cumulux.com Table of Contents Cloud Computing Model...2 Impact on IT Management and

More information

Filling the consistency and reliability gap in elastic cloud an IaaS approach

Filling the consistency and reliability gap in elastic cloud an IaaS approach International Journal of Engineering Research and Development e-issn: 2278-067X, p-issn: 2278-800X, www.ijerd.com Volume 10, Issue 2 (February 2014), PP. 16-21 Filling the consistency and reliability gap

More information

AN IMPLEMENTATION OF E- LEARNING SYSTEM IN PRIVATE CLOUD

AN IMPLEMENTATION OF E- LEARNING SYSTEM IN PRIVATE CLOUD AN IMPLEMENTATION OF E- LEARNING SYSTEM IN PRIVATE CLOUD M. Lawanya Shri 1, Dr. S. Subha 2 1 Assistant Professor,School of Information Technology and Engineering, Vellore Institute of Technology, Vellore-632014

More information

A Resource Allocation Mechanism for Video Mixing as a Cloud Computing Service in Multimedia Conferencing Applications

A Resource Allocation Mechanism for Video Mixing as a Cloud Computing Service in Multimedia Conferencing Applications A Resource Allocation Mechanism for Video Mixing as a Cloud Computing Service in Multimedia Conferencing Applications Abbas Soltanian, Mohammad A. Salahuddin, Halima Elbiaze, Roch Glitho Concordia University,

More information

Payment minimization and Error-tolerant Resource Allocation for Cloud System Using equally spread current execution load

Payment minimization and Error-tolerant Resource Allocation for Cloud System Using equally spread current execution load Payment minimization and Error-tolerant Resource Allocation for Cloud System Using equally spread current execution load Pooja.B. Jewargi Prof. Jyoti.Patil Department of computer science and engineering,

More information

Resource Provisioning in Clouds via Non-Functional Requirements

Resource Provisioning in Clouds via Non-Functional Requirements Resource Provisioning in Clouds via Non-Functional Requirements By Diana Carolina Barreto Arias Under the supervision of Professor Rajkumar Buyya and Dr. Rodrigo N. Calheiros A minor project thesis submitted

More information

EVALUATING PAAS SCALABILITY AND IMPROVING PERFORMANCE USING SCALABILITY IMPROVEMENT SYSTEMS

EVALUATING PAAS SCALABILITY AND IMPROVING PERFORMANCE USING SCALABILITY IMPROVEMENT SYSTEMS EVALUATING PAAS SCALABILITY AND IMPROVING PERFORMANCE USING SCALABILITY IMPROVEMENT SYSTEMS Nishant Agnihotri 1, Aman Kumar Sharma 2 1 Assistant Professor, Department of Computer Science & Application,

More information

Development of Intranet App with JAVA on Oracle Cloud

Development of Intranet App with JAVA on Oracle Cloud Development of Intranet App with JAVA on Oracle Cloud Saumendu Bose 1, Saurabh Kumar 2 1 M.Tech, 2 Asst. Prof., Dept. of CSE, S.I.T.E, S.V.S.U, Meerut Abstract Cloud computing is a computing environment,

More information

CLOUD COMPUTING. DAV University, Jalandhar, Punjab, India. DAV University, Jalandhar, Punjab, India

CLOUD COMPUTING. DAV University, Jalandhar, Punjab, India. DAV University, Jalandhar, Punjab, India CLOUD COMPUTING 1 Er. Simar Preet Singh, 2 Er. Anshu Joshi 1 Assistant Professor, Computer Science & Engineering, DAV University, Jalandhar, Punjab, India 2 Research Scholar, Computer Science & Engineering,

More information

A Study of Network Security Systems

A Study of Network Security Systems A Study of Network Security Systems Ramy K. Khalil, Fayez W. Zaki, Mohamed M. Ashour, Mohamed A. Mohamed Department of Communication and Electronics Mansoura University El Gomhorya Street, Mansora,Dakahlya

More information

Optimized New Efficient Load Balancing Technique For Scheduling Virtual Machine

Optimized New Efficient Load Balancing Technique For Scheduling Virtual Machine Optimized New Efficient Load Balancing Technique For Scheduling Virtual Machine B.Preethi 1, Prof. C. Kamalanathan 2, 1 PG Scholar, 2 Professor 1,2 Bannari Amman Institute of Technology Sathyamangalam,

More information

Comparison of Several IaaS Cloud Computing Platforms Amar Deep Gorai 1 Dr. Birendra Goswami 2

Comparison of Several IaaS Cloud Computing Platforms Amar Deep Gorai 1 Dr. Birendra Goswami 2 IJSRD - International Journal for Scientific Research & Development Vol. 2, Issue 09, 2014 ISSN (online): 2321-0613 Comparison of Several IaaS Cloud Computing Platforms Amar Deep Gorai 1 Dr. Birendra Goswami

More information

SLA-aware Resource Scheduling for Cloud Storage

SLA-aware Resource Scheduling for Cloud Storage SLA-aware Resource Scheduling for Cloud Storage Zhihao Yao Computer and Information Technology Purdue University West Lafayette, Indiana 47906 Email: yao86@purdue.edu Ioannis Papapanagiotou Computer and

More information

Cover Story. Cloud Computing: A Paradigm Shift in IT Infrastructure

Cover Story. Cloud Computing: A Paradigm Shift in IT Infrastructure Cover Story Debranjan Pal*, Sourav Chakraborty** and Amitava Nag*** *Assistant Professor, Dept. of CSE, Academy of Technology, West Bengal University of Technology, Hooghly India **Assistant Professor,

More information

Virtual Machine Instance Scheduling in IaaS Clouds

Virtual Machine Instance Scheduling in IaaS Clouds Virtual Machine Instance Scheduling in IaaS Clouds Naylor G. Bachiega, Henrique P. Martins, Roberta Spolon, Marcos A. Cavenaghi Departamento de Ciência da Computação UNESP - Univ Estadual Paulista Bauru,

More information

A Service Level Agreement for Trust and Reputation of Resource-Aware Services

A Service Level Agreement for Trust and Reputation of Resource-Aware Services A Service Level Agreement for Trust and Reputation of Resource-Aware Services 1 Kommoju Soma Sekhar, 2 Dr. S. Maruthu Perumal 1 II- M.Tech Student, 2 Professor, 1,2 Department of CSE, G.I.E.T, Rajahmundry.

More information

Cloud FTP: A Case Study of Migrating Traditional Applications to the Cloud

Cloud FTP: A Case Study of Migrating Traditional Applications to the Cloud Cloud FTP: A Case Study of Migrating Traditional Applications to the Cloud Pooja H 1, S G Maknur 2 1 M.Tech Student, Dept. of Computer Science and Engineering, STJIT, Ranebennur (India) 2 Head of Department,

More information

Real Time Network Server Monitoring using Smartphone with Dynamic Load Balancing

Real Time Network Server Monitoring using Smartphone with Dynamic Load Balancing www.ijcsi.org 227 Real Time Network Server Monitoring using Smartphone with Dynamic Load Balancing Dhuha Basheer Abdullah 1, Zeena Abdulgafar Thanoon 2, 1 Computer Science Department, Mosul University,

More information

CloudFTP: A free Storage Cloud

CloudFTP: A free Storage Cloud CloudFTP: A free Storage Cloud ABSTRACT: The cloud computing is growing rapidly for it offers on-demand computing power and capacity. The power of cloud enables dynamic scalability of applications facing

More information