Optimization of service discovery and allocation using performance ranking of nodes in scalable P-Grid

Probability that most software capabilities will be delivered and consumed as services is increasing these days. Service Oriented Architecture (SOA) is a model and discipline that may be used to build infrastructures enabling those with needs and those with capabilities to interact via services across different domains of technology and ownership. To optimize the usage of various software / service resources on various systems located at different areas, we have proposed and implemented a model that is able to discover the resources and share it in load balanced P-grid environment. We are also maintaining performance ranking of nodes in a domain to quickly find a most reliable node for resource discovery and sharing. Results show that the proposed approach has minimized the network traffic, while achieving load balancing in peer-to-peer grid systems.