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Reseach Article

Job Scheduling in Computational Grid using the Intelligence of Hybrid Fuzzy - Android System

Published on July 2015 by N. Vijaya Raghavan, R. Sujitha, K.s. Suganya
International Conference on Innovations in Computing Techniques (ICICT 2015)
Foundation of Computer Science USA
ICICT2015 - Number 1
July 2015
Authors: N. Vijaya Raghavan, R. Sujitha, K.s. Suganya
b34602b9-8145-430e-8999-59b35be504a2

N. Vijaya Raghavan, R. Sujitha, K.s. Suganya . Job Scheduling in Computational Grid using the Intelligence of Hybrid Fuzzy - Android System. International Conference on Innovations in Computing Techniques (ICICT 2015). ICICT2015, 1 (July 2015), 22-28.

@article{
author = { N. Vijaya Raghavan, R. Sujitha, K.s. Suganya },
title = { Job Scheduling in Computational Grid using the Intelligence of Hybrid Fuzzy - Android System },
journal = { International Conference on Innovations in Computing Techniques (ICICT 2015) },
issue_date = { July 2015 },
volume = { ICICT2015 },
number = { 1 },
month = { July },
year = { 2015 },
issn = 0975-8887,
pages = { 22-28 },
numpages = 7,
url = { /proceedings/icict2015/number1/21457-1465/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Innovations in Computing Techniques (ICICT 2015)
%A N. Vijaya Raghavan
%A R. Sujitha
%A K.s. Suganya
%T Job Scheduling in Computational Grid using the Intelligence of Hybrid Fuzzy - Android System
%J International Conference on Innovations in Computing Techniques (ICICT 2015)
%@ 0975-8887
%V ICICT2015
%N 1
%P 22-28
%D 2015
%I International Journal of Computer Applications
Abstract

In the computational grid environment, algorithms specified for scheduling plays a vital role in managing the jobs. The main aim of the scheduling algorithms is to allocate the tasks to the availability at the mean time to the suitable resources. The makespan and cost for task execution can be minimized by an efficient task scheduling algorithm; it also helps to improve the load balancing among the resources in the grid environment. In recent days a major problem is, scheduling the independent tasks in a grid environment. In this paper, scheduling the independent task is taken as a challenge and a near optimal solution is obtained. Un-Prevail systematic grouping Genetic algorithm (UPSGA) is used by us to find the optimal solution for the task scheduling problem in grid environment. Fuzzy system is used to schedule the tasks indirectly to improve the load balancing between the resources. Dissimilarity based fuzzy crossover operator-II is proposed along with Android (friend map finder) for scheduling the tasks indirectly. Availability of resources and conflicts of costs provides the chance to cross over efficiently in fuzzy system. Near optimal solution for load balancing between resources are achieved with the help of makespan results.

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Index Terms

Computer Science
Information Sciences

Keywords

Grid Computing Task Scheduling Load Balancing Un-prevail Systematic Grouping Genetic Algorithm Fuzzy System Android (friend Map Finder).