A Four-Level Linear Discriminant Analysis Based Service Selection in the Cloud Environment

The cloud is an outstanding platform to deal with functionally equivalent services which are exponentially increasing day-by-day. The selection of services to meet the client requirements is a subtle task. The services can be selected by ranking all the candidate services using their network and non-network Quality-of-Service (QoS) parameters, which is formulated as a NP hard optimization problem. In this paper, we proposed a linear discriminant analysis (LDA) based a four level matching model for service selection based on QoS parameters, which includes description matching of a service, matchmaking phase, LDA-based QoS matching and ranking. The LDA-service selection agent is deployed on each cloud to classify services into classes and rank the services based on the aggregate QoS value of each service. Finally, the test results show the efficiency in service selection with minimal discovery overhead, significant reduction in the computation time and the number of candidate services to be considered.

Cloud computing; Linear Discriminant Analysis; Quality of Service; Ranking; Web service

Ardagna, D., Pernici, B., 2007. Adaptive Service Composition in Flexible Processes. IEEE Transactions on Software Engineering, Volume 33(6), pp. 369-384

Almulla, M., Almatori, K., Yahyaoui, H., 2011. A QoS-based Fuzzy Model for Ranking Real World Web Services. In: IEEE International Conference on Web Services (ICWS), pp. 203?210 Arasi, F.E.M., Govindarajan, S., Subbarayan, A., 2016. Discriminant Analysis of Web Services Successability. Journal of Applied Sciences, Volume 16(5), pp. 223-229

Aruna, L., Aramudhan, M., 2016. Framework for Ranking Service Providers of Federated Cloud Architecture using Fuzzy Sets. International Journal of Technology, Volume 7(4), pp. 643?653

Bhushan, S.B., Pradeep, R.C.H., 2016. A Network QoS Aware Service Ranking using Hybrid AHP-PROMETHEE Method in Multi-cloud Domain. International Journal of Engineering Research in Africa, Volume 24, pp. 153?164

Benatallah, B., Dumas, M., Sheng, Q.Z., Ngu, A.H., 2002. Declarative Composition and Peer-to-peer Provisioning of Dynamic Web Services. In: Proceedings of the 18th International Conference on Data Engineering, pp. 297?308

Batra, S., Bawa, S., 2011. Semantic Discovery of Web Services using Principal Component Analysis. Physical Sciences, Volume 6(18), pp. 4466?4472

Cardoso, J., 2006. Discovering Semantic Web Services with and without a Common Ontology Commitment. In: Services Computing Workshops, 2006. SCW'06. IEEE, pp. 183?190

D’Mello, D.A., Ananthanarayana, V.S., 2008. A QoS Model and Selection Mechanism for QoS-aware Web services. In: Proceedings of the International Conference on Data Management (ICDM 2008), Delhi, February, pp. 25?27

Kalepu, S., Krishnaswamy, S., Loke, S.W., 2004. Reputation=f(user ranking, compliance, verity). In: Proceedings of the IEEE International Conference on Web Services, pp. 200?207

Lim, E., Thiran, P., Maamar, Z., Bentahar, J., 2011. Using 3-way Satisfaction for Web Service Selection: Preliminary Investigation. In: IEEE International Conference on Services Computing (SCC), pp. 731?732

Li, S.C., Chen, H.P., Chen, X., 2010. A Mechanism for Web Service Selection and Recommendation based on Multi-QoS Constraints. In: The 6th World Congress on Services (SERVICES-1), pp. 221?228

Izenman, A.J., 2013. Linear Discriminant Analysis. In: Modern Multivariate Statistical Techniques, Springer New York, pp. 237?280

Papaioannou, I.V., Tsesmetzis, D.T., Roussaki, I.G., Anagnostou, M.E., 2006. A QoS Ontology Language for Web-services. In: The 20th International Conference on Advanced Information Networking and Applications, (AINA 2006),Volume 1, pp. 6

Rajeswari, M., Sambasivam, G., Balaji, N., Basha, M.S., Vengattaraman, T., Dhavachelvan, P., 2014. Appraisal and Analysis on Various Web Service Composition Approaches based on QoS Factors. Journal of King Saud University-Computer and Information Sciences, Volume 26(1), pp. 143?152

Rajendran, T., Balasubramanie, P., 2009. An Efficient Framework for Agent-based Quality Driven Web Services Discovery. In: International Conference on Intelligent Agent & Multi-Agent Systems, (IAMA 2009), pp. 1?2

Ran, S., 2003. A Model for Web Services Discovery with QoS. ACM Sigecom Exchanges, Volume 4(1), pp. 1?10

Skoutas, D., Simitsis, A., Sellis, T., 2007. A Ranking Mechanism for Semantic Web Service Discovery. In: IEEE Congress on Services, pp. 41?48

Tian, M., Gramm, A., Ritter, H., Schiller, J., 2004. Efficient Selection and Monitoring of QoS-Aware Web Services with the WS-QoS Framework. In: Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence, pp. 152?158

Tsesmetzis, D.T., Roussaki, I.G., Papaioannou, I.V., Anagnostou, M.E., 2006. QoS Awareness Support in Web-service Semantics. In: International Conference on Advanced International Conference on Telecommunications/Internet and Web Applications and Services, pp. 128?128

Vergin Raja Sarobin, M., Ann Thomas, Linda, 2016a. Improved Leach Algorithm for Energy Efficient Clustering of Wireless Sensor Network (WSN). International Journal of Technology, Volume 7(1), pp. 50?60

Vergin Raja Sarobin, M., Ganesan, R., 2016b. Bio-inspired, Cluster-based Deterministic Node Deployment in Wireless Sensor Networks. International Journal of Technology, Volume 7(4), pp. 673?682

Zhou, W., Wen, J., Gao, M., Liu, J., 2013. A QoS Preference-based Algorithm for Service Composition in Service-oriented Network. Optik-International Journal for Light and Electron Optics, Volume 124(20), pp. 4439?4444

Zeng, L., Benatallah, B., Ngu, A.H., Dumas, M., Kalagnanam, J., Chang, H., 2004. QoS-aware Middleware for Web Services Composition. IEEE Transactions on Software Engineering, Volume 30(5), pp. 311?327