Autonomic Resource Allocation Frameworks for Service-based Cloud Applications: A Survey

Abstract

Cloud is a collection of heterogeneous-computing resources that are presented to the users on the payment basis. Cloud and the associated resources are dynamic in nature. The provisioning of resources in such dynamic environment is one of the critical issues in the cloud. Various Quality of Service (QoS) parameters contribute to the provisioning of appropriate resources in the cloud. A right proportion of resource provisioning is necessary to improve the performance of the system. To mention, energy wastage and cost increase due to over-provisioning, while, under-provisioning may seem to effect Service Level Agreements (SLA) and Service Quality (QoS). Hence, the virtual resources should be allocated accordingly to fulfil the current dynamic demand of various applications. This paper presents a deeper survey on the various resource allocation frameworks for service-based cloud applications.