Data Specific Ranking in Cloud-Reference-Cited by-同舟云学术

Data Specific Ranking in Cloud

Published:2014-10 Issue:4 Volume:4 Page:32-41
ISSN:2156-1834
Container-title:International Journal of Cloud Applications and Computing
language:en
Short-container-title:

Author:

Kundu Anirban¹,Xu Guanxiong¹,Ji Chunlin¹

Affiliation:

1. 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.

Publisher

IGI Global

Subject

General Medicine

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