A Dynamic Resource Allocation based on Multi Attributes Scoring in Collaborative Cloud Computing

Dr. Anirban Basu

A Dynamic Resource Allocation based on Multi Attributes Scoring in Collaborative Cloud Computing

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A Dynamic Resource Allocation based on Multi Attributes Scoring in Collaborative Cloud Computing

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Abstract

Collaborative cloud computing involves providing cloud services on globally distributed resources belonging to different organizations in a cooperative manner. Resource management and allocation in Collaborative Cloud is challenging because of the heterogeneity of the resources. The other challenge is guaranteeing the Quality of Service (QOS) and availability of these resources. Users’ resource demands have to be managed properly to ensure acceptable QOS. In this paper, we propose a method for effective management and allocation of resources using machine learning and using multi attribute tuning. The method has been simulated in cloud-sim as well as implemented on Amazon work space and results show that the proposed method performs better than reputation based algorithms.

References

9 Cites in Article

Reference Format

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Dr. Anirban Basu. 2015. "A Dynamic Resource Allocation based on Multi Attributes Scoring in Collaborative Cloud Computing". Global Journal of Computer Science and Technology - B: Cloud & Distributed GJCST-B Volume 15 (GJCST Volume 15 Issue B4).

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GJCST Volume 15 Issue B4

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

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Classification

GJCST-B Classification C.1.4 H.3.4

Submission ReceivedDecember 9, 2014
Peer Review Double Blind
Handling Editor
Accepted January 3, 2015
Published October 5, 2015

Version of record

v1.2

Issue date

October 5, 2015

Language

English

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Article Matrices

Total Score: 107

Country: India

Subject: Global Journal of Computer Science and Technology - B: Cloud & Distributed

Authors: Anitha N, Dr. Anirban Basu (PhD/Dr. count: 1)

View Count (all-time): 603

Total Views (Real + Logic): 2102

Total Downloads (simulated): 174

Publish Date: 2015 01, Thu

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Total Views: 2.1K

Total Downloads: 174

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