Priority Driven Auction Strategy For Resource Allocation In Cloud Datacenters

Abstract

Cloud computing is the next generation of technology which unifies everything into one. It is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction. A new model known as Priority Driven Auction Strategy (PDAS) for Resource Allocation is proposed in this research paper. Resource allocation takes place based on the priority of resources and auction bids between cloud user and datacenters. Load-balancing policy is used for assigning priorities to the resources. Proposed model is implemented in simulation environment and several experimental tests are performed to analyse its performance.