A Hierarchical Framework for the Management of Virtualized Resources for Multi-Tier Services and Applications in Cloud Computing

Abstract

Cloud computing has become a new age technology that has got huge potentials in enterprises and markets. It makes it possible to access applications and associated data from anywhere. Organizations are able to rent resources from the cloud for storage and other computational purposes to reduce cost (operational cost). Further, they can make use of wide access to applications, based on the pay-as-you-go model. Hence there is no need for getting licenses for individual products. However one of the major pitfalls in cloud computing is related to optimization of cloud virtualized resources. Because of the uniqueness of the cloud model,resource allocation is performed with the objective of optimizing computing, communication and storage resources. Many researchers propose different methods of optimizing cloud resources, some of which are the use of soft computing approaches. Many of these optimization algorithms proposed are still under investigation and modification to improve their capabilities in managing well, the computing, communication and storage resources in the cloud. For efficient virtualized resource management in the cloud, the existing (soft computing approaches) resource allocation algorithms are becoming inefficient with the increase inthe size of cloud data. In view of the above challenge,this research therefore proposes Hierarchical Framework of models for the adaptive management of virtualized resources for efficient resource allocation in cloud computing.