Proffering a new Method for Grid Computing Resource Discovery based on Economic Criteria using Ant Colony Algorithm

In computational grids, heterogeneous resources with different ownerships are dynamically available and distributed geographically. Resource discovery is one of the most important services of grid computing. Resource Discovery service provides mechanisms to identify the set of resources that are capable of satisfying the job requirements. It is not realistic to build the resource discovery mechanisms for such computational platform without considering economic issues. Developing computational economic-based approaches is a promising avenue for building efficient, scalable and stable resource discovery mechanisms without a centralized controller for computational grids. In this paper, a new method based on peer to peer model for the resource discovery problem with economic criteria that has essential characteristics for efficient, self-configuring and fault-tolerant resource discovery is proposed. This method employs an Ant Colony algorithm to locate the required resources. Finally proposed method with existing methods by using simulation will be compared.