Design of Simulator to Evaluate Performance Parameters of Scheduling Clouds in Virtual Machine Environment

Design of Simulator to Evaluate Performance Parameters of Scheduling Clouds in Virtual Machine Environment

Himanshi Goyal

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Dr. P. K. Suri

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Design of Simulator to Evaluate Performance Parameters of Scheduling Clouds in Virtual Machine Environment

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Abstract

Cloud computing acts as a vision of infinite computing resources that are provided ondemand to the cloud users as needed and are billed on pay as per usage basis. Cloud computing employs the concept of virtualization that provides an opportunity to achieve business and IT objectives. Scheduling is one of the most important challenges that a cloud computing environment faces. Scheduling process determines the order of execution of jobs and the virtual machine to which job is assigned to execute so as to improve the performance and quality of service and at the same time resources are utilized effectively. An attempt has been made in this paper to develop a simulator to schedule a job on allocated virtual machine so as to make efficient resource utilization. In the proposed work, scheduling is done on the basis of availability of allocated virtual machine, providing equal capabilities. We assumed that arrival of jobs in a cloud and their execution on a virtual machine is exponentially distributed. For analysing the proposed algorithm, the performance parameters of scheduling clouds are evaluated in Virtual Machine Environment.

References

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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

Himanshi Goyal. 2014. \u201cDesign of Simulator to Evaluate Performance Parameters of Scheduling Clouds in Virtual Machine Environment\u201d. Global Journal of Computer Science and Technology - B: Cloud & Distributed GJCST-B Volume 14 (GJCST Volume 14 Issue B2).

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GJCST Volume 14 Issue B2

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Cloud Computing Exponential Distribution job scheduling response parameters simulator

Submission ReceivedDecember 9, 2013
Peer Review Double Blind
Handling Editor
Accepted January 2, 2014
Published January 15, 2014

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v1.2

Issue date

July 19, 2014

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Article Matrices

Total Score: 107

Country: India

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

Authors: Dr. P. K. Suri, Himanshi Goyal (PhD/Dr. count: 1)

View Count (all-time): 328

Total Views (Real + Logic): 8808

Total Downloads (simulated): 2335

Publish Date: 2014 07, Sat

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Total Views: 8808

Total Downloads: 2335

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