Data Specific Ranking in Cloud

Anirban Kundu, Guanxiong Xu and Chunlin Ji
Additional contact information
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

International Journal of Cloud Applications and Computing (IJCAC), 2014, vol. 4, issue 4, 32-41

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.

Date: 2014
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 018/ijcac.2014100103 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jcac00:v:4:y:2014:i:4:p:32-41

Access Statistics for this article

International Journal of Cloud Applications and Computing (IJCAC) is currently edited by B. B. Gupta

More articles in International Journal of Cloud Applications and Computing (IJCAC) from IGI Global
Bibliographic data for series maintained by Journal Editor ().