The  Contemporary Review of Notable Cloud Resource Scheduling Strategies

The Contemporary Review of Notable Cloud Resource Scheduling Strategies

P.Sowjanya

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The Contemporary Review of Notable Cloud Resource Scheduling Strategies

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Abstract

Cloud computing has become a revolutionary development that has changed the dynamics of business for the organizations and in IT infrastructure management. While in one dimension, it has improved the scope of access, reliability, performance and operational efficiency, in the other dimension, it has created a paradigm shift in the way IT systems are managed in an organizational environment. However, with the increasing demand for cloud based solutions, there is significant need for improving the operational efficiency of the systems and cloud based services that are offered to the customers. As cloud based solutions offer finite pool of virtualized on-demand resources, there is imperative need for the service providers to focus on effective and optimal resource scheduling systems that could support them in offering reliable and timely service, workload balancing, optimal power efficiency and performance excellence.

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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

P.Sowjanya. 2016. \u201cThe Contemporary Review of Notable Cloud Resource Scheduling Strategies\u201d. Global Journal of Computer Science and Technology - B: Cloud & Distributed GJCST-B Volume 16 (GJCST Volume 16 Issue B3): .

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GJCST Volume 16 Issue B3
Pg. 33- 44

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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J.5

Submission ReceivedDecember 8, 2015
Peer Review Double Blind
Handling Editor
Accepted January 3, 2016
Published January 15, 2016

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v1.2

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December 15, 2016

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Article Matrices

Total Score: 101

Country: India

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

Authors: P.Sowjanya (PhD/Dr. count: 0)

View Count (all-time): 266

Total Views (Real + Logic): 7198

Total Downloads (simulated): 1841

Publish Date: 2016 12, Thu

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Total Views: 7198

Total Downloads: 1841

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