Dynamic Resource Allocation in Large Cloud Environments using Gossip Protocol

Abstract

Cloud computing is a term, which involves virtualization, distributed computing, networking, software and web services. A cloud consists of several elements such as clients, datacenter and distributed servers. It includes fault tolerance, high availability, scalability, flexibility, reduced overhead for users, reduced cost of ownership, on demand services etc. Gossip Protocol is effective protocol for the dynamic load balance in the distributed system and continuously execute process input & output process. Gossip protocol ensures fair resource allocation among sites/applications; it dynamically adapts the allocation to load changes and scales both in the number of physical machines and sites/applications. Gossip protocol avoids the resource allocation problem as that of dynamically maximizing the cloud utility under CPU and memory constraints. we extend that protocol to provide an efficient heuristic solution for the complete problem, which includes minimizing the cost for adapting an allocation. The protocol continuously executes on dynamic, local input and does not require global synchronization, as other proposed gossip protocols do.