Adopting a clustering approach toward a scalable IaaS cloud datacenters

Cloud computing is the promising technology that provides computational, storage, network and database resources by employing the virtualization technology in the infrastructure layer. Nowadays, most of the applications are hosted in the multi-tenant based virtualized cloud environment. Scalability is the challenging task in this environment for effective utilization of the resources and to improve the profit of the cloud service providers. Recently, the companies and enterprises are tried to realize the scalability in terms of application, platform, database and infrastructure level. Thus, to solve the scalability issue, we propose an approach for improving the process of resource monitoring and management in large cloud datacenters by applying a quantitative methodology based on clustering techniques that measure the similarity between virtual machines (VMs) behaviors in terms of resource utilization. This model will help administrators to make decision about the management of resources in IaaS cloud systems.