Comparative study of two GA based task allocation models in distributed computing system

Author

Deo Prakash Vidyarthi ; Tripathi, Anil Kumar ; Sarker, Biplab Kumer ; Rani, Kirfi

Author_Institution

Dept. of Comput. Sci., Banaras Hindu Univ., Varanasi, India

fYear

2003

fDate

27-29 Aug. 2003

Firstpage

458

Lastpage

462

Abstract

Genetic algorithm has emerged as a successful tool for optimization problems. Previously, we proposed a task allocation model to maximize the reliability of a distributed computing system (DCS) using a genetic algorithm. Our objective is to use the same simple genetic algorithm to minimize the turnaround time of the task given to the DCS for execution and then to compare the resultant allocation with the allocation of maximal reliability as obtained by Vidyarthi et al. (2001). Comparisons of both the algorithms are made by illustrated examples and appropriate comments.

Keywords

distributed processing; fault tolerant computing; genetic algorithms; resource allocation; distributed computing system; genetic algorithm based task allocation models; network operating systems; optimization problems; reliability; task turnaround time; Biological cells; Computer science; Distributed computing; Distributed control; Genetic algorithms; Genetic mutations; Radio access networks; Reliability engineering; Systems engineering and theory;

fLanguage

English

Publisher

ieee

Conference_Titel

Parallel and Distributed Computing, Applications and Technologies, 2003. PDCAT'2003. Proceedings of the Fourth International Conference on

Print_ISBN

0-7803-7840-7

Type

conf

DOI

10.1109/PDCAT.2003.1236344

Filename

1236344