A peer to peer resource provisioning scheme for cloud computing environment using multi attribute utility theory

Resource provisioning is critical for cloud computing because it manages the virtual machines (VM) and allocated resources. Traditional resource provisioning schemes make decisions based on centralized configuration and global calculation of resource allocation. However these provisioning frameworks become hindered in large deployment followed by Service Level Objectives (SLO) violation and those are exposed to single point failure as well. The proposed provisioning scheme is based on Peer to Peer (P2P) architecture with no lone decision maker. Each node in the data center makes its own provisioning decision regarding VM allocation and migration which are resolved with Multi Attribute Utility Theory (MAUT) methods. Simulation experiments demonstrate that in comparison with centralized schemes, the proposed scheme generates 60.27% less SLO violations and 83.58% less VM migrations on average. Such outcome proves that the system can manage its resources better compared to centralized scheme.