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Data Specific Ranking in Cloud

Author

Listed:
  • Anirban Kundu

    (Shenzhen Key Laboratory of Transformation Optics and Spatial Modulation, Kuang-Chi Institute of Advanced Technology, Shenzhen, China)

  • Guanxiong Xu

    (Shenzhen Key Laboratory of Transformation Optics and Spatial Modulation, Kuang-Chi Institute of Advanced Technology, Shenzhen, China)

  • Chunlin Ji

    (Shenzhen Key Laboratory of Transformation Optics and Spatial Modulation, Kuang-Chi Institute of Advanced Technology, Shenzhen, China)

Abstract

In this paper, the major goal is to achieve searching in distributed network with proper ranking. Heterogeneous framework is going to be utilized using existing machines and high-end workstations. Data redundancy is responsible for enhancing dynamic scheduling in run-time. Dynamic scheduling is going to be exploited determining possible sub-network and related servers for specific user targeted tasks using active and busy ranking status of servers. Minimization of time and maximization of speed are objectives of proposed system structure.

Suggested Citation

  • Anirban Kundu & Guanxiong Xu & Chunlin Ji, 2014. "Data Specific Ranking in Cloud," International Journal of Cloud Applications and Computing (IJCAC), IGI Global, vol. 4(4), pages 32-41, October.
    • Handle: RePEc:igg:jcac00:v:4:y:2014:i:4:p:32-41
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