Group Based Resource Management and Pricing Model in Cloud Computing

Cloud computing utilizes large scale computing infrastructure that has been radically changing the IT
landscape enabling remote access to computing resources with low service cost, high scalability ,
availability and accessibility. Serving tasks from multiple users where the tasks are of different
characteristics with variation in the requirement of computing power may cause under or over utilization
of resources.Therefore maintaining such mega-scale datacenter requires efficient resource management
procedure to increase resource utilization. However, while maintaining efficiency in service provisioning it
is necessary to ensure the maximization of profit for the cloud providers. Most of the current research
works aims at how providers can offer efficient service provisioning to the user and improving system
performance. There are comparatively fewer specific works regarding resource management which also
deals with the economic section that considers profit maximization for the provider. In this paper we
represent a model that deals with both efficient resource utilization and pricing of the resources. The joint
resource management model combines the work of user assignment, task scheduling and load balancing
on the fact of CPU power endorsement. We propose four algorithms respectively for user assignment, task
scheduling, load balancing and pricing that works on group based resources offering reduction in task
execution time(56.3%),activated physical machines(41.44%),provisioning cost(23%) . The cost is
calculated over a time interval involving the number of served customer at this time and the amount of
resources used within this time.