Ranking of services for reliability estimation of SOA system using fuzzy multicriteria analysis with similarity-based approach

Many approaches are available for finding the reliability of service-oriented architecture (SOA). Here some mathematical works are used to estimate the system reliability. But in present, reliability is real time issue. So, the estimation of system reliability is a very difficult task. For this we have to discuss soft computing technique that is multi-criteria decision making method. This approach is used to provide the rank for each alternative service to select the best service for estimation. In this paper, we have used fuzzy multicriteria analysis with similarity based approach for reliability estimation. Also, we propose some factors that affect the SOA reliability. These factors work as criterion and we have taken three services as alternative.

[1]  Hepu Deng Multicriteria analysis with fuzzy pairwise comparison , 1999, FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315).

[2]  Milan Zeleny,et al.  Multiple criteria decision making: eight concepts of optimality , 1998 .

[3]  V. Maheswari,et al.  Hybrid reliability model to enhance the efficiency of composite web services , 2013, 2013 IEEE International Conference ON Emerging Trends in Computing, Communication and Nanotechnology (ICECCN).

[4]  Deepak Kumar Software Reliability Engineering , 2011 .

[5]  Miroslaw Malek,et al.  Current solutions for Web service composition , 2004, IEEE Internet Computing.

[6]  F. Chervenak,et al.  Authors' reply re: BJOG Debate ‘Home birth is unsafe’ , 2016, BJOG : an international journal of obstetrics and gynaecology.

[7]  Wei Fulei Notice of RetractionThe Research on College Teacher Performance Evaluation Based on Fuzzy-AHP Method , 2010, 2010 Second International Workshop on Education Technology and Computer Science.

[8]  ZAIGHAM MAHMOOD Synergies between SOA and Grid Computing , 2009 .

[9]  Senol Arikan,et al.  Automatic Reliability Management in SOA-based critical systems , 2012 .

[10]  Latha Srinivasan,et al.  An Overview of Service-oriented Architecture Web Services and Grid Computing , 2005 .

[11]  Gilberto Montibeller,et al.  Multi-Criteria Decision Analysis for Strategic Decision Making , 2010 .

[12]  Apostolos Papageorgiou,et al.  Process reliability in service oriented architectures , 2009, 2009 3rd IEEE International Conference on Digital Ecosystems and Technologies.

[13]  Jen-Yao Chung,et al.  A view on service-oriented architecture , 2007, Service Oriented Computing and Applications.

[14]  Ashish Seth,et al.  Estimating Reliability of Service-Oriented Systems: A Rule Based Approach , 2014 .

[15]  A. Nagoor Gani,et al.  A New Operation on Triangular Fuzzy Number for Solving Fuzzy Linear Programming Problem , 2012 .

[16]  Ching-Lai Hwang,et al.  Multiple Attribute Decision Making: Methods and Applications - A State-of-the-Art Survey , 1981, Lecture Notes in Economics and Mathematical Systems.

[17]  Christer Carlsson,et al.  Multiple criteria decision making: The case for interdependence , 1995, Comput. Oper. Res..

[18]  Ludmil Mikhailov,et al.  Evaluation of services using a fuzzy analytic hierarchy process , 2004, Appl. Soft Comput..

[19]  Nisha Sharma Nisha Sharma A Survey of Software Reliability factor , 2013 .

[20]  A. Kaufmann,et al.  Introduction to fuzzy arithmetic : theory and applications , 1986 .

[21]  Chung-Hsing Yeh,et al.  Inter-company comparison using modified TOPSIS with objective weights , 2000, Comput. Oper. Res..

[22]  Ching-Lai Hwang,et al.  Fuzzy Multiple Attribute Decision Making - Methods and Applications , 1992, Lecture Notes in Economics and Mathematical Systems.

[23]  Abhishek Jain,et al.  An enhance approach for Web Services Discovery with QoS , 2012, 2012 Ninth International Conference on Wireless and Optical Communications Networks (WOCN).

[24]  Tharam S. Dillon,et al.  Dependability and Rollback Recovery for Composite Web Services , 2011, IEEE Transactions on Services Computing.

[25]  Yumei Chen Fuzzy AHP-based method for project risk assessment , 2010, 2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery.

[26]  Marc Roubens,et al.  Multiple criteria decision making , 1994 .

[27]  Caroline M. Eastman,et al.  Review: Introduction to fuzzy arithmetic: Theory and applications : Arnold Kaufmann and Madan M. Gupta, Van Nostrand Reinhold, New York, 1985 , 1987, Int. J. Approx. Reason..

[28]  Feng Kong,et al.  International Journal of C 2005 Institute for Scientific Information and Systems Sciences Computing and Information Applying Fuzzy Analytic Hierarchy Process to Evaluate Success Factors of E-commerce , 2022 .

[29]  H. Haleh,et al.  A new approach for fuzzy risk analysis based on similarity by using decision making approach , 2010, 2010 IEEE International Conference on Management of Innovation & Technology.

[30]  Majid Moradi,et al.  Applying Fuzzy AHP and Similarity-Based Approach for Economic Evaluating Companies Based on Corporate Governance Measures , 2014 .

[31]  Arun Sharma,et al.  A rule-based approach for estimating the reliability of component-based systems , 2012, Adv. Eng. Softw..

[32]  Liyuan Zhang COMPARISON OF CLASSICAL ANALYTIC HIERARCHY PROCESS (AHP) APPROACH AND FUZZY AHP APPROACH IN MULTIPLE-CRITERIA DECISION MAKING FOR COMMERCIAL VEHICLE INFORMATION SYSTEMS AND NETWORKS (CVISN) PROJECT , 2010 .

[33]  Hossein Safari,et al.  A New Technique for Multi Criteria Decision Making Based on Modified Similarity Method , 2013 .

[34]  Tharam S. Dillon,et al.  Composite web QoS with workflow conditional pathways using bounded sets , 2013, Service Oriented Computing and Applications.

[35]  Hepu Deng,et al.  A Similarity-Based Approach to Ranking Multicriteria Alternatives , 2009, ICIC.