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Task Allocation on Linearly Extensible Multiprocessor System

by Abdus Samad, Jamshed Siddiqui, Zaki Ahmad Khan
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International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
Volume 10 - Number 5
Year of Publication: 2016
Authors: Abdus Samad, Jamshed Siddiqui, Zaki Ahmad Khan
10.5120/ijais2016451480

Abdus Samad, Jamshed Siddiqui, Zaki Ahmad Khan . Task Allocation on Linearly Extensible Multiprocessor System. International Journal of Applied Information Systems. 10, 5 ( February 2016), 1-5. DOI=10.5120/ijais2016451480

@article{ 10.5120/ijais2016451480,
author = { Abdus Samad, Jamshed Siddiqui, Zaki Ahmad Khan },
title = { Task Allocation on Linearly Extensible Multiprocessor System },
journal = { International Journal of Applied Information Systems },
issue_date = { February 2016 },
volume = { 10 },
number = { 5 },
month = { February },
year = { 2016 },
issn = { 2249-0868 },
pages = { 1-5 },
numpages = {9},
url = { https://www.ijais.org/archives/volume10/number5/859-2016451480/ },
doi = { 10.5120/ijais2016451480 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-07-05T19:02:31.395826+05:30
%A Abdus Samad
%A Jamshed Siddiqui
%A Zaki Ahmad Khan
%T Task Allocation on Linearly Extensible Multiprocessor System
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 10
%N 5
%P 1-5
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

A novel dynamic scheduling scheme that supports task unbiased structure approach is proposed for multiprocessor networks. The significance of proposed scheduling scheme is remedying the communication overhead, delay in task execution and in efficient processor utilization and hence improves the total execution time. The proposed algorithm is implemented on a set of processors known as nodes which are linked through certain interconnection network. In particular, the recital is appraised for a linear kind of multiprocessor interconnection network known as Linear Crossed Cube (LCQ) multiprocessor system. In addition, a comparison is also made by implementing the same algorithm on other similar standard multiprocessor systems. The performance is examined with regards to the performance indexed known as Load Imbalance Factor (LIF), which corresponds to the variant of load among processors. The comparative simulation research reveals that the proposed scheme provides more advantageous performance in terms of task scheduling on numerous linear along with on cube-based multiprocessor networks.

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Index Terms

Computer Science
Information Sciences

Keywords

Distributed Control dynamic load balancing scheduling scheme Parallel Systems Task Scheduling.

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