Since Grid is a distributed and heterogeneous environment, scheduling and resource
management are important in Grid. One of the fundamental problems in Grid is designing a …

In this paper, we present a resource broker architecture for a computational Grid which uses
Genetic Algorithm (GA) for brokering. Resource brokering implies selection of appropriate …

In the grid, the reliability of the providers who manage the resources is usually unknown to
the consumers. Unreliable providers usually fail to complete consumers' task. Therefore …

Since the Grid is a dynamic environment, the detection of available resources and prediction
of resource availability in near future is important for resource scheduling. In a Grid …

Today, the world facing with huge flood of data and the recent advances in computer
technology have provided the capability to process significant amount of data. On the other …

A market-based computational grid is made up large sets of heterogeneous and
geographically distributed resources that are gathered into virtual organizations for …

Load balancing is an important part of grid scheduling systems which aims to utilize dynamic
and decentralized grid resources without any overcapacity happening at any resources …

Decision tree induction has gained its popularity as an effective automated method for data
classification mainly because of its simple, easy-to-understand, and noise-tolerant …

A Grid system is comprised of large sets of heterogeneous and geographically distributed
resources that are aggregated as a virtual computing platform for executing large-scale …

Grids systems are enormous environments that allow to users to share their resource and
collaborate for executing of consumer's job. Recently, the need for interoperability among …