Trust Worthiness on Load Balance in Grids Using Standard Cauchy Distribution

Computational tasks are split into many modules and the resources of participating nodes of Grid are shared with to solve intensive jobs. Since the Grid participants are open in many cases, the respective providers do not maintain reputation in providing their promised services. Therefore ‘Trust’ worthiness of nodes of clusters of Grid is determined through various techniques with several parameters. Computational efficiency in Grid is another major issue that needs to be addressed. ‘Load Balancing’ in Grids could be a major remedial measure for tackling this issue. Literature on these two components in isolation of Grid technology is seen to be aplenty. But a combined study for relational effectiveness is worth an attempt. Standard Cauchy distribution is a continuous probability distribution, which can be applied so as to determine the acceptance levels of Cluster functionalities of the Grid. In view of this, the study attempts to make use of standard Cauchy distribution technique for validating Load balancing, which is performed after the determination of the trust worthiness of the participating nodes of a cluster. The study argues that the Grid cluster that is trust worthy alone can be performed with the load balancing and the conclusion is thus derived. GridSim 5.0 has been used for the proposed experimental studies.