A Network QoS Aware Service Ranking Using Hybrid AHP-PROMETHEE Method in Multi-Cloud Domain

Abstract:

Cloud computing is evolving as a realization of SoA in which IT resources are offered as services on a pay-as-you-go basis. But several functionally equivalent services are discovered, because of the exponential growth in the number of cloud providers and services. The best service can be selected by ranking all the discovered services using their network and other non-network QoS parameters, which is formulated as MCDM problem. In this paper, we proposed a hybrid approach for MCDM problem that contains AHP and PROMETHEE. AHP is used to investigate the structure of the service ranking problem and to determine the weights of the QoS criteria, and PROMETHEE method is applied for the final ranking. The results of evaluation demonstrate the effectiveness of the proposed hybrid method, and furthermore show the impact of network QoS parameters in the final service ranking.

• Periodical: International Journal of Engineering Research in Africa (Volume 24)
• Pages: 153-164
• DOI: https://doi.org/10.4028/www.scientific.net/JERA.24.153
• Online since: June 2016
• Authors: S.Bharath Bhushan, Reddy C.H. Pradeep*
• Keywords: AHP, Cloud Computing, Multi Criteria Decision Making (MCDM), Network Awareness, PROMETHEE, Quality of Service (QoS), Service Ranking

References

[1] Amin Jula, Elankovan Sundararajan and Zalinda Othman, Cloud computing service composition: A systematic literature review, Expert Systems with Applications. 41 (2014) 3809–3824.

DOI: 10.1016/j.eswa.2013.12.017

[2] M. Rajeswari , G. Sambasivam, N. Balaji, M.S. Saleem Basha, T. Vengattaraman and P. Dhavachelvan, Appraisal and analysis on various web service composition approaches based on QoS factors, Journal of King Saud University – Computer and Information Sciences. 26 (2014).

DOI: 10.1016/j.jksuci.2013.08.003

[3] Wei Zhou, Junhao Wen, Min Gao and Junwei Liu, A QoS preference-based algorithm for service composition in service oriented network, Optic. 124 (2013) 4439–4444.

DOI: 10.1016/j.ijleo.2013.03.006

[4] Yuan-sheng Luo, Kun Yang, Qiang Tang, Jianmin Zhang and Bin Xiong, A multi-criteria network-aware service composition algorithm in wireless environments, Computer Communications. 35 (2012) 1882–1892.

DOI: 10.1016/j.comcom.2012.02.009

[5] Li L, Wang Y and Lim EP, Trust-Oriented Composite Service Selection with QoS Constraints, J Univers Comput Sci. 16 (2010) 1720–1744.

[6] Lo C-C, Chen D-Y, Tsai C-F and Chao K-M, Service selection based on fuzzy TOPSIS method, In proceedings of 24th IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2010, Perth, Australia: IEEE Computer Society. (2010).

DOI: 10.1109/waina.2010.117

[7] Qu L, and Chen Y, QoS ontology based efficient web services selection, In proceedings of International Conference on Management Science and Engineering. (2009) 45–50.

DOI: 10.1109/icmse.2009.5317544

[8] Zuo M, Wang S and Wu B, Research on web services selection model based on AHP, Beijing, China: Inst. of Elec. and Elec. Eng. Computer Society. 2 (2008) 2763–2768.

[9] Godse M, Sonar R and Mulik S, Web Service Selection Based on Analytical Network Process Approach, In proceedings of Asia-Pacific Services Computing Conference. (2008) 1103–1108.

DOI: 10.1109/apscc.2008.218

[10] Karim R, Chen D and Chi-Hung C, An Enhanced PROMETHEE Model for QoS-Based Web Service Selection, In proceedings of Services Computing (SCC), 2011 IEEE International Conference on. (2011) 536–543.

DOI: 10.1109/scc.2011.81

[11] Tserpes K, Aisopos F, Kyriazis D and Varvarigou T, A recommender mechanism for service selection in service-oriented environments, Future Generation Computer Systems. 28(8) (2012) 1285–1294.

DOI: 10.1016/j.future.2011.11.003

[12] Chen X, Liu XD, Huang ZC and Sun HL, Region KNN: A scalable hybrid collaborative filtering algorithm for personalized web service recommendation, In proceedings of IEEE International Conference on Web Service (ICWS). (2010) 9–16.

DOI: 10.1109/icws.2010.27

[13] Zheng ZB, Ma H, Lyu MR and King I, QoS-aware web service recommendation by collaborative filtering, IEEE Transactions on Services Computing. 4(2) (2011) 140–152.

DOI: 10.1109/tsc.2010.52

[14] T. L. Saaty, How to make a decision: the analytic hierarchy process, European Journal of Operational Research. 48(1) (1990) 9–26.

DOI: 10.1016/0377-2217(90)90057-i

[15] B. Martens and F. Teuteberg, Decision-making in cloud computing environments: a cost and risk based approach, Information Systems Frontiers. 14(4) (2012) 871–893.

DOI: 10.1007/s10796-011-9317-x

[16] H. Wu, Q. Wang, and K. Wolter, Methods of cloud-path selection for offloading in mobile cloud computing systems, In proceedings of the 4th IEEE International Conference on Cloud Computing Technology and Science (CloudCom '12). (2012) 443–448.

DOI: 10.1109/cloudcom.2012.6427587

[17] M. Sun, T. Zang, X. Xu, and R. Wang, Consumer-centered cloud services selection using AHP, In proceedings of the International Conference on Service Sciences (ICSS '13). (2013) 1–6.

DOI: 10.1109/icss.2013.26

[18] Toma I, Roman D, Fensel D, Sapkota B and Gomez J, A multi-criteria service ranking approach based on non-functional properties rules evaluation, Service-Oriented Computing–ICSOC 2007. 47(49) (2001) 435–441.

DOI: 10.1007/978-3-540-74974-5_40

[19] Wang P, Chao K-M, Lo C-C, Huang C-L and Li Y, A fuzzy model for selection of QoS-aware web services, In proceedings of IEEE International Conference on e-Business Engineering. ICEBE 2006. (2006) 583-593.

DOI: 10.1109/icebe.2006.3

[20] J. P. Brans and Ph. Vincke, A reference Ranking Organisation Method, Management Science. 31(6) (1985) 647-656.

DOI: 10.1287/mnsc.31.6.647

[21] Karande, P and Chakraborty, S, Application of PROMETHEE-GAIA method for nontraditional machining processes selection, Management Science Letters. 2(6) (2012) 2049-(2060).

DOI: 10.5267/j.msl.2012.06.015

[22] Liangzhao Zeng, Benatallah, B. Ngu, A.H.H., Dumas, M., Kalagnanam, J. and Chang, H, QoS-aware middleware for Web services composition, in Software Engineering, IEEE Transactions on. 30(5) (2004) 311-327.

DOI: 10.1109/tse.2004.11

[23] Mareschal, B. and De Smet, Y., Visual, PROMETHEE: Developments of the PROMETHEE & GAIA multicriteria decision aid methods, In proceedings of Industrial Engineering and Engineering Management. (2009) 1646-1649.

DOI: 10.1109/ieem.2009.5373124