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Application of Meta Heuristic Algorithm for Real Time Task Assignment Problem on Heterogeneous Processor

Published on September 2015 by Poongothai M., Rajeswari A., Umer Farook K.a.
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National Conference on Information and Communication Technologies
Foundation of Computer Science USA
NCICT2015 - Number 1
September 2015
Authors: Poongothai M., Rajeswari A., Umer Farook K.a.
a3615daf-dbcd-4435-80b7-1d4a31361caa

Poongothai M., Rajeswari A., Umer Farook K.a. . Application of Meta Heuristic Algorithm for Real Time Task Assignment Problem on Heterogeneous Processor. National Conference on Information and Communication Technologies. NCICT2015, 1 (September 2015), 13-18.

@article{
author = { Poongothai M., Rajeswari A., Umer Farook K.a. },
title = { Application of Meta Heuristic Algorithm for Real Time Task Assignment Problem on Heterogeneous Processor },
journal = { National Conference on Information and Communication Technologies },
issue_date = { September 2015 },
volume = { NCICT2015 },
number = { 1 },
month = { September },
year = { 2015 },
issn = 0975-8887,
pages = { 13-18 },
numpages = 6,
url = { /proceedings/ncict2015/number1/22346-1535/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Information and Communication Technologies
%A Poongothai M.
%A Rajeswari A.
%A Umer Farook K.a.
%T Application of Meta Heuristic Algorithm for Real Time Task Assignment Problem on Heterogeneous Processor
%J National Conference on Information and Communication Technologies
%@ 0975-8887
%V NCICT2015
%N 1
%P 13-18
%D 2015
%I International Journal of Computer Applications
Abstract

Multiprocessor real-time task assignment algorithm helps in the design and implementation of real time systems. Assigning real time task to heterogeneous multiprocessor system is challenging problem because the performance of each task varies from one processor to another. As the result of this determining solution for assigning task in heterogeneous processor leads to an NP hard problem. In this paper, Hybrid Ant Colony Optimization incorporated with Tabu search algorithm [HACO_TS] is proposed for real time task assignment in the heterogeneous system. The proposed Max-Min Ant System is included with a Tabu search algorithm to improve task assignment solution without exceeding the processors computing capacity and fulfilling the dead line constraints. From the experimental results, the proposed algorithm achieved better utilization compared to random assignment algorithm.

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Index Terms

Computer Science
Information Sciences

Keywords

Multiprocessor Heterogeneous Np Hard Haco_ts Max-min Ant System Tabu Search Random Assignment