Performance Evaluation of Adaptive Scheduling Algorithm for Shared Heterogeneous Cluster Systems

Dr. Amit Chhabra; Gurvinder Singh

Performance Evaluation of Adaptive Scheduling Algorithm for Shared Heterogeneous Cluster Systems

Dr. Amit Chhabra * §

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Gurvinder Singh

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Guru Nanak Dev University, Amritsar, INDIA.

Performance Evaluation of Adaptive Scheduling Algorithm for Shared Heterogeneous Cluster Systems

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Abstract

Cluster computing systems have recently generated enormous interest for providing easily scalable and cost-effective parallel computing solution for processing large-scale applications. Various adaptive space-sharing scheduling algorithms have been proposed to improve the performance of dedicated and homogeneous clusters. But commodity clusters are naturally nondedicated and tend to be heterogeneous over the time as cluster hardware is usually upgraded and new fast machines are also added to improve cluster performance. The existing adaptive policies for dedicated homogeneous and heterogeneous parallel systems are not suitable for such conditions. Most of the existing adaptive policies assume a priori knowledge of certain job characteristics to take scheduling decisions. However such information is not readily available without incurring great cost. This paper fills these gaps by designing robust and effective space-sharing scheduling algorithm for non-dedicated heterogeneous cluster systems, assuming no job characteristics to reduce mean job response time. Evaluation results show that the proposed algorithm provide substantial improvement over existing algorithms at moderate to high system utilizations.

References

15 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. Amit Chhabra, Gurvinder Singh. 2012. "Performance Evaluation of Adaptive Scheduling Algorithm for Shared Heterogeneous Cluster Systems". Global Journal of Computer Science and Technology - B: Cloud & Distributed GJCST-B Volume 12 (GJCST Volume 12 Issue B12).

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GJCST Volume 12 Issue B12

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

adaptive space-sharing scheduling cluster computing systems non-dedicated heterogeneous clusters performance evaluation and mean response time

Classification

GJCST-B Classification C.1.4

Submission ReceivedApril 6, 2012
Peer Review Double Blind
Handling Editor
Accepted May 2, 2012
Published May 15, 2012

Version of record

v1.2

Issue date

December 28, 2012

Language

English

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Article Matrices

Total Score: 147

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: Dr. Amit Chhabra, Gurvinder Singh (PhD/Dr. count: 1)

View Count (all-time): 517

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Publish Date: 2012 05, Tue

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Total Views: 4.2K

Total Downloads: 320

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