The supreme agent strategy for efficient searching and manifesting vital cloud services

  • Authors

    • Dhanasekaran S
    • Vasudevan V
    2018-03-01
    https://doi.org/10.14419/ijet.v7i1.9.9816
  • Cloud Computing, Supreme Agent, Cloud Service Discovery, Cloud Service Assortment, Agreement, Resource Management.
  • The supreme agent technique deals with devise and magnification of software agents for effectively discovery appropriate cloud services, cloud service agreement and cloud service assortment. This research work establishing an agent based strategy for composing variety of relevant cloud services and provides unified virtualized service to the cloud customers in a effective manner. The contribution of research work includes developing cloud service search engine for efficient cloud service discovery, and dealing both provider and consumer by means of supreme agent strategy. This supreme agent scheme uses an enhanced fuzzy based ranking algorithm. This supreme agent system works on behalf of cloud user and provider to list out various cloud providers with necessary information to enable the user to choose relevant cloud service in a reasonable time period. Cloud agreement mechanism facilitates the agreement activities among client agent & intermediate agent also among intermediate agent & supplier agent. Cloud service assortment facilitate the agent vigorously choose the Cloud services and records the display the available cloud services.

  • References

    1. [1] Kwang Mong Sim, “Agent BasedCloud Computingâ€, IEEE Transactions on services computing, Oct-Dec 2012.

      [2] N.R. Jennings et al., “Automated Negotiation: Prospects, Methods and Challenges,†Int’l J. Group Decision Agreement, 10, 2, 199-215, 2011.

      [3] K.M. Sim, “Complex and Concurrent Negotiation for Multiple Interrelated E-Markets,†IEEE Trans. Systems, Man and Cybernetics, Part B, preprint, 2012,

      [4] K.M. Sim, “Towards Complex negotiation for Cloud Economy,†Proc. Int’l Conf. Advances in Grid and Pervasive Computing (GPC ’10), R.S. Chang et al., eds., 395-406, 2010.

      [5] S.Dhanasekaran, V.Vasudevan, “A Dynamic Multi-Intelligent Agent System for Enhancing the Cloud Service Negotiationâ€, International Journal of Applied Engineering Research, 10, 43, 30469-30473, 2015.

      [6] K. M. Sim, “A survey of bargaining models for grid resource allocation,†ACM SIGECOM: E-Commerce Exch., 5, 5, 22–32, 2006.

      [7] Dhanasekaran.S and Vasudevan.V. ASmart Logical Multi agent System for Consolidating Suitable Cloud Services, International Journal of Computer Science and Information Security, 14 (9),517-522.2016.

      [8] Dhanasekaran.S and Vasudevan.V. Rational Agent Based Multiple Concurrent and Complex Concession for Service Composition And Discovery, IEEE Xplore Digital Library, 2797-2801, 2016.

      [9] Rajesh, M., and J. M. Gnanasekar. "Path Observation Based Physical Routing Protocol for Wireless Ad Hoc Networks." Wireless Personal Communications 97.1, 1267-1289, (2017).

      [10] D. Yoo and K. M. Sim, “A multilateral negotiation model for cloud service market,†in Proc. Conf. Grid Distrib. Comput.Jeju Island, Korea, 54–63, 2010.

      [11] Nguyen, T. D., & Jennings, N. R., A heuristic model of co-existing bi-lateral negotiations in incomplete information settings. In Proceedings of the eighteenth international joint conference on artificial intelligence, 1467–1469. 2003.

  • Downloads

  • How to Cite

    S, D., & V, V. (2018). The supreme agent strategy for efficient searching and manifesting vital cloud services. International Journal of Engineering & Technology, 7(1.9), 182-185. https://doi.org/10.14419/ijet.v7i1.9.9816