5th International Young Scientist Congress (IYSC-2019).  International E-publication: Publish Projects, Dissertation, Theses, Books, Souvenir, Conference Proceeding with ISBN.  International E-Bulletin: Information/News regarding: Academics and Research

QoS based Cloud Service Provider Selection Framework

Author Affiliations

  • 1 Department of Computer Science, Babasaheb Bhimrao Ambedkar University, Lucknow, UP, INDIA

Res. J. Recent Sci., Volume 3, Issue (IVC-2014), Pages 7-12, -----Select----,2 (2014)

Abstract

A wide range of service offerings has been opened by the cloud computing industry to the customers. The cloud service providers and their services are increasing exponentially in present scenario of computing. In such a situation a customer faces the problem of selecting the best cloud service provider according to his personalized quality of service requirements. Moreover, the dynamic nature of the underlying network and several unpredictable circumstances, cause the service providers to depart from the promised QoS, as per Service Level Agreement. In this paper the authors present a framework for cloud service selection engine which acts as a tool to enable the customers to select the most appropriate cloud service provider from the Web Repository. The framework uses analytic hierarchy approach for multi-criteria QoS decision making which accelerates the selection process. Past users’ experience is used as a heuristic which helps the algorithm to converge in polynomial time. A comparison has been given between proposed mechanism and previous approaches and the results of proposed technique are promising.

References

  1. Buyya R., Garg S.K. and Calheiros R.N., SLA Oriented Resource Provisioning for Cloud Computing: Challenges, Architecture and Solutions, Proceedings of the International Conference on Cloud and Service Computing, IEEE, Australia, 1-10, (2011)
  2. Beloglazov A. and Buyya R., Managing Overloaded Hosts for Dynamic Consolidation of Virtual Machines in Cloud DataCenters Under Quality of Service Constraints, IEEE Transactions on Parallel and Distributed Systems, 24(17), 1366-1379 (2013)
  3. Zheng Z., Wu Z., Zhang Y., Lyu M.R. and Wang J., QoS Ranking Prediction for Cloud Services, IEEE Transactions on Parallel and Distributed Systems,24(6), 1213-1222(2013)
  4. Ding S., Yang S., Zhang Y., Liang C. and Xia C., Combining QoS prediction and customer satisfaction estimation to solve cloud service trustworthiness evaluation problems, Knowledge Based System,56, 216-225 (2014)
  5. Zhao L., Ren Y., Li M. and Sakurai K., Flexible service selection with user-specific QoS support in serviceoriented architecture, J. Network and Computer Applications, 35(3), 962-973 (2012)
  6. Garg S.K., Versteeg S. and Buyya R., A framework for ranking of cloud computing services, Future Generation Computer Systems, 29(4), 1012-1023 (2013)
  7. Cloud Service Measurement Index Consortium (CSMIC), SMI framework. URL:http://beta-www.cloudcommons. com/servicemeasurementindex (2014)
  8. Mahmoodi K.R., Nejad S.S. and Ershadi M., Expert Systems and Artificial Intelligence Capabilities Empower Strategic Decisions: A Case study, Res. J. Recent Sci.,3(1), 116-121 (2014)
  9. Movahedi M.M., A Statistical Method for Designing and analyzing tolerances of Unidentified Distributions, Res. J. Recent Sci.,2(11), 55-64 (2013)
  10. Saaty T.L., Decision making, new information, ranking and structure, Mathematical Modelling,8, 125–132 (1987)
  11. Triantaphyllou E., Stuart H. and Mann S.H., Using the analytic hierarchy process for decision making in engineering applications: some challenges, International Journal of Industrial Engineering: Applications and Practice, 2(1), 35-44 (1995)
  12. Sanjay J. and Nitin A., An Inverse Optimization Model for Linear Fractional Programming, Res. J. Recent Sci.,2(4), 56-58 (2013)
  13. Khan S. and Al Ajmi F.M.,Cloud Computing Safety Concerns in Infrastructure as a Service, Res. J. Recent Sci.,3(6), 116-123 (2014)
  14. Wang S., Zheng Z., Sun O., Zou H. and Yang F., ‘Cloud model for service selection’, IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 666 -671 (2011)
  15. Kourtesis D., Alvarez-Rodríguez J.M. and Paraskakis I., Semantic-based QoS management in cloud systems: Current status and future challenges, Future Generation Computer Systems, 32, 307-323 (2014)
  16. Salam A., Nadeem A., Ahsan K., Sarim M. and Rizwan K.., ‘A class based QoS model for Wireless Body Area Sensor Networks, Res. J. Recent Sci.,3(7), 69-78 (2014)
  17. Kafetzakis E., Koumaras H., Kourtis M.A. and Koumaras V., QoE4CLOUD: A QoE-driven multidimensional framework for cloud environments, International Conference on Telecommunications and Multimedia (TEMU),77-82 (2012)