An enhanced QoS Architecture based Framework for Ranking of Cloud Services

  ijett-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2013 by IJETT Journal
Volume-4 Issue-4                       
Year of Publication : 2013
Authors : Mr.K.Saravanan , M.Lakshmi Kantham

Citation 

Mr.K.Saravanan , M.Lakshmi Kantham. "An enhanced QoS Architecture based Framework for Ranking of Cloud Services". International Journal of Engineering Trends and Technology (IJETT). V4(4):1022-1031 Apr 2013. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group.

Abstract

With the rapid growth of cloud computing, many organizations such as Amazon, IBM and HP started to offer cloud services to various consumers . From the customer ’ s point of view , it is very difficult to choose w hich service is best one to use and what the criteria for their selection are. Determining the best cloud computing service for a specific application is a challenge and often determines the success of the underlying business of the service consumers. In some situations , due to the vast number of requests , the providers are not able to del iver the requested services within requested time. To avoid this scenario , advan ced reservation scheme is proposed which provides the guaranteed delivery of resources. Currently there is no standard framework for ranking service for the customers to select the appropriate provider to fit their application and the advanced reservation mechanism which provides the customers to access their services at a right time. A novel framework for ranking and advanced reservation of cloud services is proposed which is based on a set of cloud computing specific performance and a Quality of Service ( QoS) attributes. It provides an automatic best fit and a guaranteed delivery

References

[1] Saurabh Kumar Gar g , Steve Versteeg and Rajkumar Buyya , “A framework for rankin g of cloud computing services”, (2012) S.K. Garg et al. / Future Generation Computer Systems.
[2] Zibin zheng, Yelei zhang and Michael R.lyu , “Cloud Rank: A QoS driven component framework ranking for cloud computing” , 2010 29th IEEE International Symposium on Reliable Distributed Systems.
[3] Zibin Zheng, Xinmaio Wu, Yilei Zhang, Michael R. Lyu and Jianmin Wang , “ QoS Ranking Prediction for Cloud Services”, (2012) IEEE Transactions On Parallel And Distributed Systems.
[4] Ryan K L Ko, Bu Sung Lee and T. Muthu Nesa Beula et al. , “Towards Achieving Accountability, Auditability and Trust in Cloud Computing” , Siani Pearson (2011) / International Journal of Engineering Science and Technology (IJEST) .
[5] Rodrigo N. Calheiros, Adel NadjaranToosi, Christian Vecchiola and Rajkumar Buyya, “ A coordinator for scaling elastic applications across multiple clouds” , Future Generation Computer Systems, Volume 28, No. 8, Pages: 1350 - 1362, ISSN: 0167 - 739X, Elsevier Science, Amsterdam, The N etherlands, October 2012.
[6] R.Buyya, R.Ranjan and R.N. Calheiros, “InterCloud: Utility - Oriented Federation of Cloud Computing Environments for Scaling of Application Services” , in: Proceedings of the 10th International Conference on Algorithms and Architec tures for Parallel Processing, ICA3PP’10, Springer, Busan, South Korea, 2010, pp. 13 – 31.
[7]S. Venugopal, X. Chu, and R. Buyya, “A Negotiation Mechanism for Advance Resource Reservation using the Alternate Offers Protocol” , in: Proceedings of the 16 th International Workshop o n Quality of Service, IWQoS’08, IEEE Computer Society, Enschede, Netherlands, 2008, pp. 40 – 49.
[8] Saurabh Kumar Garg, Steve Versteeg and Rajkumar Buyya, “SMICloud: A Framework for Comparing and Ranking Cloud Services” , Proceedings of the 4th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2011, IEEE CS Press, USA), Melbourne, Australia, December 5 - 7, 2011.
[9] S.K. Garg, C. Vecchiola and R. Buyya, “Mandi: a market exchange for trading utility and cloud computing services” , The Journal of Supercomputing (2011) http://dx.doi.org/10.1007/s11227 - 011 - 0568 - 6 .
[10] Adel NadjaranToosi, Ruppa K. Thulasiram and Rajkumar Buyya, “Financial Option Market Model fo r Federated Cloud Environments”, Technical Report CLOUDS - TR - 2012 - 1, Cloud Computing and Distributed Systems Laboratory, The University of Melbourne, March 10, 2012.
[11] Rajkumar Buyya, Saurabh Kumar Garg, and Rodrigo N. Calheiros, “SLA - Oriented Resource Provisioning for Cloud Computing: Challenges, Architecture, and Sol utions” , Proceedings of the 2011 IEEE International Conference on Cloud and Service Computing (CSC 2011, IEEE Press, USA), Hong Kong, China, December 12 - 14, 2011.
[12] Hoi Chan and Thomas J.Watson , “Ranking and Mapping of Applications to Cloud Computing Services by SVD” , Res.Center, IBM, Hawthorne, NY, USA Trieu Chieu Network Operations and Management Symposium Workshops (NOMS Wksps), 2010 IEEE/IFIP Page(s): 362 - 369 Conference Publications .
[13] Bahma n Javadi, Parimala Thulasiraman and Rajkumar Buyya , “C loud Resource Provisioning to Extend the Capacity of Local Resources in the Presence of Failures” , HPCC - 183 The 14th IEEE International Conference on High Performance Computing and Communications (HPCC - 2012) .
[14] Rui min and muthucumaru maheswaran , “Scheduling advance reservations with priorities In grid computing systems” , PDCS 2001 - Parallel and Distributed Computing and Systems ISSN: 1027 - 2658 ; ISBN: 0 - 88986 - 307 - 5 .
[15] Zhe Huang, Peng Xiao and Dongbo Liu , “An Overlapped Advance Reservation Strat egy for Grid Resources” , Journal of Information & Computational Science 9: 8 (2012) 2211 – 2220 .

Keywords
Inter cloud, Cloud Coordinator, Cloud Exchange , QoS, SLA , AHP