A scalable resource provisioning scheme for the cloud using peer to peer resource discovery and multi-attribute utility theory

Serving large number of users without compromising service availability and performance is key to the success of the Cloud. A fundamental challenge in building such services is incorporating scalability and fail safe techniques for discovering and provisioning of resources. As Peer to Peer (P2P) architectures are invincible to these setbacks, the work proposes a P2P based resource discovery and provisioning method for the Cloud. It first addresses the multi attribute data publishing and the range querying inability of existing Distributed Hash Table (DHT) based P2P schemes and proposes an attribute hub based discovery of provisioning information. Focused on that, a decentralized resource provisioning model is proposed using Multi Attribute Utility Theory methods. The simulation shows that the proposed approach is44.24% and45.81% faster than the centralized and DHT based approaches respectively in case of multidimensional range querying. It also shows the lesser number of Service Level Objective (SLO) violations and migrations which are about 24.11% and 33.43% respectively.