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The Scientific World Journal has retracted this article. After conducting a thorough investigation, we have strong reason to believe that the peer review process was compromised.

This article was originally submitted to a Special Issue titled “Recent Advances in Metaheuristics and its Hybrids.” In late 2015, Dr. Xavier Delorme, the lead guest editor on the Special Issue, alerted us that his identity had been compromised. After further investigation, we discovered that several peer review reports in this issue had been submitted from similarly compromised email accounts.

We are retracting the articles in keeping with the “COPE statement on inappropriate manipulation of the peer review process.” There is no evidence that any of the authors or editors, including Dr. Delorme, were aware of this misconduct.

View the full Retraction here.


  1. D. Mallayya, B. Ramachandran, and S. Viswanathan, “An automatic web service composition framework using QoS-based web service ranking algorithm,” The Scientific World Journal, vol. 2015, Article ID 207174, 14 pages, 2015.
The Scientific World Journal
Volume 2015, Article ID 207174, 14 pages
Research Article

An Automatic Web Service Composition Framework Using QoS-Based Web Service Ranking Algorithm

Department of Computer Science and Engineering, College of Engineering, Guindy, Anna University, Chennai 600025, India

Received 29 May 2015; Revised 26 August 2015; Accepted 27 August 2015

Academic Editor: Mallipeddi Rammohan

Copyright © 2015 Deivamani Mallayya et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [9 citations]

The following is the list of published articles that have cited the current article.

  • Ye Tao, Xiaodong Wang, Xiaowei Xu, and Liang Yang, “Containerized Resource Provisioning Driven by User Preference,” 22017 IEEE International Conference on Computational Science and Engineering (CSE) and IEEE International Conference on Embedded and Ubiquitous Computing (EUC), pp. 487–490, . View at Publisher · View at Google Scholar
  • Yiqun Hua, Jian Cao, Qi Gu, and Yudong Tan, “PD-TRP: A Service Composition Approach for the Personalized and Optimized Door-to-Door Travel Plan Recommendation,” 2017 IEEE International Conference on Web Services (ICWS), pp. 768–775, . View at Publisher · View at Google Scholar
  • Hussien Alhadithy, and Bassam Al-Shargabi, “Fuzzy rule based web service composition in cloud,” Proceedings of the First International Conference on Data Science, E-learning and Information Systems - DATA '18, pp. 1–4, . View at Publisher · View at Google Scholar
  • Suchithra, and Ramakrishnan, “Discovery of efficient non-Functional QoS requirements based medical web services using model driven architecture,” Journal of Medical Imaging and Health Informatics, vol. 6, no. 3, pp. 828–832, 2016. View at Publisher · View at Google Scholar
  • Jing Su, and Yuejun Liu, “Composition and verification of Web service based on shared resources,” Revista Tecnica de la Facultad de Ingenieria Universidad del Zulia, vol. 39, no. 5, pp. 87–94, 2016. View at Publisher · View at Google Scholar
  • Sanjay Garg, Kirit Modi, and Sanjay Chaudhary, “A QoS-aware approach for runtime discovery, selection and composition of semantic web services,” International Journal of Web Information Systems, vol. 12, no. 2, pp. 177–200, 2016. View at Publisher · View at Google Scholar
  • Mahdi Sargolzaei, and Hamideh Afsarmanesh, “Service Oriented Collaborative Network Architecture,” Collaboration in a Data-Rich World, vol. 506, pp. 381–394, 2017. View at Publisher · View at Google Scholar
  • Fella Bey, Samia Bouyakoub, and Abdelkader Belkhir, “Time-based web service composition,” International Journal on Semantic Web and Information Systems, vol. 14, no. 2, pp. 113–137, 2018. View at Publisher · View at Google Scholar
  • Ye Tao, Xiaodong Wang, and Xiaowei Xu, “Containerized resource provisioning framework for multimedia big data application,” Multimedia Tools and Applications, 2018. View at Publisher · View at Google Scholar