Analytical Performance Comparison of BNP Scheduling Algorithms

Gagandeep Kaur; Er. Navneet Singh; Parneet Kaur

Analytical Performance Comparison of BNP Scheduling Algorithms

Gagandeep Kaur * §

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Er. Navneet Singh

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Parneet Kaur

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§ Adesh Institute of Engg, & Tech, Faridkot, Punjab, I...

Analytical Performance Comparison of BNP Scheduling Algorithms

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Abstract

Parallel computing is related to the application of many computers running in parallel to solve computationally intensive problems. One of the biggest issues in parallel computing is efficient task scheduling. In this paper, we survey the algorithms that allocate a parallel program represented by an edge-directed acyclic graph (DAG) to a set of homogenous processors with the objective of minimizing the completion time. We examine several such classes of algorithms and then compare the performance of a class of scheduling algorithms known as the bounded number of processors (BNP) scheduling algorithms. Comparison is based on various scheduling parameters such as makespan, speed up, processor utilization and scheduled length ratio. The main focus is given on measuring the impact of increasing the number of tasks and processors on the performance of these four BNP scheduling algorithms.

References

11 Cites in Article

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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

Gagandeep Kaur, Er. Singh, Parneet Kaur. 2012. "Analytical Performance Comparison of BNP Scheduling Algorithms". Global Journal of Computer Science and Technology, Global Journal of Computer Science and Technology - A: Hardware & Computation GJCST-A Volume 12 (GJCST Volume 12 Issue A10).

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GJCST Volume 12 Issue A10

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

DAG Homogeneous processors Parallel computing Scheduling

Classification

GJCST-A Classification D.4.1

Submission ReceivedDecember 9, 2011
Peer Review Double Blind
Handling Editor
Accepted January 1, 2012
Published January 15, 2012

Version of record

v1.2

Issue date

July 16, 2012

Language

English

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Article Matrices

Total Score: 149

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: Er. Navneet Singh, Gagandeep Kaur, Parneet Kaur, Dr. Gurdev Singh (PhD/Dr. count: 1)

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Publish Date: 2012 01, Sun

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Total Views: 4.2K

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