IJBTT

Novel Sensing Approach for Predicting SLA Violations

	International Journal of Computer Trends and Technology (IJCTT)
	© 2014 by IJCTT Journal
	Volume-10 Number-1
	Year of Publication : 2014
	Authors : Vidya Rajasekaran , A.Asha Ashok , R.Manjula
	DOI :  10.14445/22312803/IJCTT-V10P106

Vidya Rajasekaran , A.Asha Ashok , R.Manjula."Novel Sensing Approach for Predicting SLA Violations". International Journal of Computer Trends and Technology (IJCTT) V10(1):25-30, April 2014. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
Customer contentment plays a vital role in business environment. Service level agreements (SLA’s) are signed between the service provider and the customer where SLA violation acts as a major constraint. SLA Violation is reduced through mechanisms involving Monitoring in case if any violations are probably to occur, predicting the violations in advance and applying necessary prevention mechanism that minimizes the total cost arising because of SLA violations. Service providers carry out adaptation measures in the case of violations. Adaptation is considered as an instant deed (i.e.) for each Composition instance separately. Most of the existing technique involves adaptation mechanisms based on cost alone but allow customers to compromise on quality. Our proposed technique provides optimal adaptation measures based on both cost and quality. Cost optimization and quality enhancing technique are been used in the proposed work to carry out the task. In this methodology we predict the SLA violations in advance and also find out the paramount providers through customers feedback and apply ranking for the services using the highest score. To achieve the highest score the service provider should provide services with minimum cost and maximum efficiency and quality. Also the existing work does not include mechanisms to completely prevent SLA violations, which is been enhanced in the proposed work by accumulating NOP (No to One-time Profit) technique

References
[1] Philipp Leitner, Member, IEEE, Waldemar Hummer, Student Member, IEEE, an Schahram Dustdar, Senior Member, IEEE,” Cost-Based Optimization of Service Compositions”, IEEE Transactions On Services Computing, Vol. 6, No. 2, April-June 2013.
[2] Nicholas J. Radcliffe and Patrick D. Surry,” Formal Memetic Algorithms”, Appears in "Evolutionary Computing: AISB Workshop", Ed: T.C. Fogarty, Springer-Verlag LNCS 865, pp1-16, 1994.
[3] D. Villela Centro de Pesquisas de Energia El´etrica Prashant Pradhan Ibm T. J. Watson Research Centre and Dan Rubenstein,” Provisioning Servers in the Application Tier for E-Commerce Systems” ACM Transactions on Internet Technology, Vol. 7, No. 1, Article 7, Publication date: February 2007.
[4] P. Leitner, B. Wetzstein, D. Karastoyanova, W. Hummer, S. Dustdar, and F. Leymann, “Preventing SLA Violations in Service Compositions Using Aspect-Based Fragment Substitution,” Proc. Int’l Conf. Service-Oriented Computing (ICSOC ’10), 2010.
[5] B. Wetzstein, P. Leitner, F. Rosenberg, S. Dustdar, and F. Leymann, “Identifying Influential Factors of Business Process Performance Using Dependency Analysis,” Enterprise Information Systems, vol. 4, no. 3, pp. 1-8, July 2010.
[6] L. Zeng, B. Benatallah, A.H.H. Ngu, M. Dumas, J. Kalagnanam, and H. Chang, “QoS-Aware Middleware for Web Services Composition,” IEEE Trans. Software Eng., vol. 30, no. 5, pp. 311- 327, May 2004.
[7] L. Zeng, C. Lingenfelder, H. Lei, and H. Chang, “Event-Driven Quality of Service Prediction,” Proc. Sixth Int’l Conf. Service- Oriented Computing (ICSOC ’08). pp. 147-161, 2008.
[8] Michlmayr, F. Rosenberg, P. Leitner, and S. Dustdar, “End-to- End Support for QoS-Aware Service Selection, Binding, and Mediation in VRESCo,” IEEE Trans. Services Computing, vol. 3, no. 3, pp. 193-205, July 2010.
[9] Dan, D. Davis, R. Kearney, A. Keller, R. King, D. Kuebler, H. Ludwig, M. Polan, M. Spreitzer, and A. Youssef, “Web Services on Demand: WSLA-Driven Automated Management,”IBM Systems J., vol. 43, no. 1, pp. 136-158, Jan. 2004.
[10] L. Bodenstaff, A. Wombacher, M. Reichert, and M.C. Jaeger, “Analyzing Impact Factors on Composite Services,” Proc. IEEE Int’l Conf. Services Computing (SCC ’09), pp. 218-226, 2009.
[11] P. Leitner, B. Wetzstein, F. Rosenberg, A. Michlmayr, S. Dustdar, and F. Leymann, “Runtime Prediction of Service Level Agreement Violations for Composite Services,” Proc. Third Workshop Non- Functional Properties and SLA Management in Service-Oriented Computing (NFPSLAM-SOC ’09), pp. 176-186, 2009.
[12] P. Leitner, A. Michlmayr, F. Rosenberg, and S. Dustdar, “Monitoring, Prediction and Prevention of SLA Violations in Composite Services,” Proc. IEEE Int’l Conf. Web Services (ICWS ’10), pp. 369-376, 2010.
[13] R. Kazhamiakin, B. Wetzstein, D. Karastoyanova, M. Pistore, and F. Leymann, “Adaptation of Service-Based Applications Based on Process Quality Factor Analysis,” Proc. Second Workshop Monitoring, Adaptation and Beyond (MONA+), pp. 395-404, 2009.
[14] “Business Process Modeling Notation Specification,” technical report, Object Management Group, 2006.
[15] M. Salehie and L. Tahvildari, “Self-Adaptive Software: Landscape and Research Challenges,” ACM Trans. Autonomous and Adaptive Systems, vol. 4, no. 2, pp. 1-42, May 2009.

Keywords
Adaptation, Monitoring, optimization, prediction, Service composition, service-level agreements.