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The Scientific World Journal
Volume 2015, Article ID 858975, 16 pages
http://dx.doi.org/10.1155/2015/858975
Research Article

Optimizing Negotiation Conflict in the Cloud Service Negotiation Framework Using Probabilistic Decision Making Model

Department of Information Science and Technology, Faculty of Information and Communication Engineering, Anna University, Chennai, Tamil Nadu 600025, India

Received 12 April 2015; Revised 23 May 2015; Accepted 25 May 2015

Academic Editor: Yudong Cai

Copyright © 2015 Rajkumar Rajavel and Mala Thangarathinam. 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 [6 citations]

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

  • Rajkumar Rajavel, and Mala Thangarathanam, “Adaptive Probabilistic Behavioural Learning System for the effective behavioural decision in cloud trading negotiation market,” Future Generation Computer Systems, 2015. View at Publisher · View at Google Scholar
  • Sin-Jin Lin, “Hybrid Kernelized Fuzzy Clustering and Multiple Attributes Decision Analysis for Corporate Risk Management,” International Journal of Fuzzy Systems, 2016. View at Publisher · View at Google Scholar
  • Rajkumar Rajavel, and Mala Thangarathinam, “ADSLANF: A negotiation framework for cloud management systems using a bulk negotiation behavioral learning approach,” Turkish Journal of Electrical Engineering and Computer Sciences, vol. 25, no. 1, pp. 563–590, 2017. View at Publisher · View at Google Scholar
  • Saad Mubeen, Sara Abbaspour Asadollah, Alessandro V. Papadopoulos, Mohammad Ashjaei, Hongyu Pei-Breivold, and Moris Behnam, “Management of Service Level Agreements for Cloud Services in IoT: A Systematic Mapping Study,” IEEE Access, pp. 1–1, 2017. View at Publisher · View at Google Scholar
  • Shuai Yuan, Sanjukta Das, R. Ramesh, and Chunming Qiao, “Service Agreement Trifecta: Backup Resources, Price and Penalty in the Availability-Aware Cloud,” Information Systems Research, 2018. View at Publisher · View at Google Scholar
  • J. Rodriguez-Fernandez, T. Pinto, F. Silva, I. Praça, Z. Vale, and J.M. Corchado, “Context aware Q-Learning-based model for decision support in the negotiation of energy contracts,” International Journal of Electrical Power & Energy Systems, vol. 104, pp. 489–501, 2019. View at Publisher · View at Google Scholar