Providing Privacy and Reducing Time Consumption in Cross Cloud Service Composition
D. Jayakumari, RVS College of Engineering and Technology; D.Suganthi ,RVS College of Engineering and Technology; J.JerlineAbishek ,RVS College of Engineering and Technology; V.Sureshkumar ,RVS College of Engineering and Technology; K.B.Vishnu ,RVS College of Engineering and Technology
Cloud, Cross Cloud, Hiresome-II, Indexed Based Searching, Service Composition.
Cross cloud computing is the piece of software that is portable and can run on multiple platforms without human intervention. Cross cloud service composition provides a concrete approach that is capable for large scale big data processing. We propose a privacy-aware cross-cloud service composition method, named Hire Some-II (History record-based Service optimization method) based on its previous basic version Hire Some-I. In our method, to enhance the credibility of a composition plan, the evaluation of a service is promoted by some of its Qos history records. Using Hiresome-II technique time consumption for searching of data can be reduced. Cloud computing is an internet based computing, which shares resources, software and information are provided to computers and other devices on demand, in this security is the major concern.
-
[1] S. Tai, J. Nimis, A. Lenk, and M. Klems, ‘‘Cloud Service Engineering,’’ in Proc. 32ndACM/IEEE ICSE, May 2010, vol. 2, pp. 475-476.
[2] V. Nallur and R. Bahsoon, ‘‘A Decentralized Self-Adaptation Mechanism for Service-Based Applications in the Cloud,’’ IEEE Trans. Software. Eng., vol. 39, no. 5, pp. 591-612, May 2013.
[3] H.Y. Lin and W.G. Tzeng, ‘‘A Secure Erasure Code-Based Cloud Storage System with Secure Data Forwarding,’’ IEEE Trans. Parallel Distributed Syst., vol. 23, no. 6, pp. 995-1003, June 2012.
[4] A. Gambi and G. Toffetti, ‘‘Modeling Cloud Performance with Kriging,’’ in Proc. 34th ICSE, June 2012, pp. 1439-1440.
[5] R. Buyya, C.S. Yeo, S. Venugopal, J. Broberg, and I. Brandic, ‘‘Cloud Computing and Emerging IT Platforms: Vision, Hype, and Reality for Delivering Computing as the 5th Utility,’’ Future Gener. Computing System. vol. 25, no. 6, pp. 599-616, June 2009.
[6] J. Cao, K. Hwang, K. Li, andA.Y. Zomaya, ‘‘Optimal Multiserver Configuration for Profit Maximization in Cloud Computing,’’ IEEE Trans. Parallel Distributed Syst., vol. 24, no. 6, pp. 1087-1096, June 2013.
[7] M. Li, S. Yu, Y. Zheng, K. Ren,” Scalable and Secure Sharing of Personal Health records in Cloud Computing Using Attribute Based Encryption” June 2013.
Paper ID: GRDJEV01I040092
Published in: Volume : 1, Issue : 4
Publication Date: 2016-04-01
Page(s): 99 - 103
Published in: Volume : 1, Issue : 4
Publication Date: 2016-04-01
Page(s): 99 - 103