TY  - JOUR
T1  - Fuzzy Based Optimal Allocation of Resources for Grid Scheduling
AU - Murugesan, G. AU - Chellappan, C. 
JO  - Research Journal of Applied Sciences
VL  - 7
IS  - 2
SP  - 119
EP  - 125
PY  - 2012
DA  - 2001/08/19
SN  - 1815-932x
DO  - rjasci.2012.119.125
UR  - https://makhillpublications.co/view-article.php?doi=rjasci.2012.119.125
KW  - grid scheduling
KW  -Resource Allocation Model
KW  -fuzzy logic
KW  -economic model
KW  -divisible load theory
AB  - Grid computing is becoming a popular way of providing high performance computing for many
process intensive, scientific and business applications. Grid computing consists of large sets of diverse,
geographically distributed resources that are collected into a virtual computer for high performance
computation. Resource allocation in grid computing is the challenging task due the heterogeneity and dynamic
nature of resources. Many of the researches have been done to develop a better resource allocation model. But
in most of the work they follow either the time as decision parameter or the cost as decision parameter. A very
few work had been focused for both the parameter also they are trying to improve the grid resource
performance. In this study, researchers developed a mathematical model as an economic model with the aim to
benefit the grid user. The Resource Allocation Model in grid computing consists of two components; resource
selection and resource sequencing. Researchers used the fuzzy logic technique to perform the resource
selection and resource sequencing. The performance of the mathematical model is evaluated with an extensive
set of input values to demonstrate the practical use of the model. The result shows that the approach
outperform other models by minimizing the time and cost of the application of the grid user.
ER  -