Heterogeneous Resource Provisioning In Cloud

Abstract

Cloud computing is the recent large-scale distributed computing technology, which also allocates resources to
the users on demand in cost-effective manner. Resource Allocation (RA) is a dynamic access and process of the cloud
resources by the end users who act as a client for Resource Provisioning. Though resource provisioning is a dynamic
management technology, yet there exist issues such as resource over-provisioning and resource under-provisioning. The
over-provisioning can cost user’s more than necessary resource and under-provisioning affects the application
performance for the user. Therefore, the efficient usage of resources in cloud for large scale task processing is one of the
most challenging tasks. The main aim of this project is to identify optimal task using Ant Colony Optimization (ACO) as
first phase then for prioritizing task followed by Analytical Hierarchical Process (AHP) for heterogeneous workload
allocation.