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A Novel Bee Colony Approach to Distributed Systems Scheduling

by Raheleh Sarvizadeh, Mostafa Haghi Kashani, Fahimeh Sadat Zakeri, Seyed Mahdi Jameii
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 42 - Number 10
Year of Publication: 2012
Authors: Raheleh Sarvizadeh, Mostafa Haghi Kashani, Fahimeh Sadat Zakeri, Seyed Mahdi Jameii
10.5120/5726-7792

Raheleh Sarvizadeh, Mostafa Haghi Kashani, Fahimeh Sadat Zakeri, Seyed Mahdi Jameii . A Novel Bee Colony Approach to Distributed Systems Scheduling. International Journal of Computer Applications. 42, 10 ( March 2012), 1-6. DOI=10.5120/5726-7792

@article{ 10.5120/5726-7792,
author = { Raheleh Sarvizadeh, Mostafa Haghi Kashani, Fahimeh Sadat Zakeri, Seyed Mahdi Jameii },
title = { A Novel Bee Colony Approach to Distributed Systems Scheduling },
journal = { International Journal of Computer Applications },
issue_date = { March 2012 },
volume = { 42 },
number = { 10 },
month = { March },
year = { 2012 },
issn = { 0975-8887 },
pages = { 1-6 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume42/number10/5726-7792/ },
doi = { 10.5120/5726-7792 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:32:10.457861+05:30
%A Raheleh Sarvizadeh
%A Mostafa Haghi Kashani
%A Fahimeh Sadat Zakeri
%A Seyed Mahdi Jameii
%T A Novel Bee Colony Approach to Distributed Systems Scheduling
%J International Journal of Computer Applications
%@ 0975-8887
%V 42
%N 10
%P 1-6
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The problem of task scheduling in distributed systems is known as an NP-hard problem, and methods based on heuristic or metaheuristic search have been proposed to obtain optimal and suboptimal solutions. The scheduling problem is a key factor for distributed systems to gain better performance. In this paper, an efficient method based on memetic algorithm is developed to solve the problem of distributed systems scheduling. With regard to load balancing efficiently, Bee Colony Optimization (BCO) has been applied as local search in the proposed memetic algorithm. The proposed method has been compared to existing GA-based method and two memetic-Based methods in which Tabu method and Learning Automata method have been used as local search. The results demonstrated that the proposed method outperform the above mentioned methods in terms of CPU Utilization, communication cost and Makespan.

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Index Terms

Computer Science
Information Sciences

Keywords

Scheduling Memetic Algorithm Bee Colony Optimization

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