A Peer-to-Peer Based Job Distribution Model Using Dynamic Network Structure Transformation

Abstract

Typically, many systems in organizations suffer from limited computer resources, while there are a huge number of under-utilized computers available which are able to contribute to continue reliable services when a system faces operational overloads. This paper proposes a Peer-to-Peer (P2P) based distributed job distribution model for job allocation and aggregation using Hub Peers. To this end, we first provide a peer-to-peer job distribution model using periodically collected peer information, and then proposed a peer structure transformation algorithm that composes P2P network topology dynamically for using under-utilized computing resources efficiently. Finally, we prove the benefits of our approach by comparing our proposed approach to other works.