A Grid Flow Management System for Resource Allocation Problem

This paper describes a framework for the grid flow management system in resource allocation problem based on the autonomous manager grid service (AMGS). We develop a user agent which is able to estimate the scoring rule based on grid resources attributes without human intervention, since agents are autonomous and intelligent in behavior. The reverse auction protocol involving an iterative algorithm for solving the resource allocation problem is also present. We implement the new protocol in a simulated environment and study its economic efficiency and its effect on the grid system performance.