Efficient manager for virtualized resource provisioning in Cloud Systems

Cloud Systems provide the computing infrastructure and on-demand capacity required to host services. In this paper we present a new provisioning mechanism for Cloud Systems. Our project addresses the key requirements in managing resources at the infrastructure level. The proposed resource manager allocates virtual resources in a flexible way, taking into account time, costs and physical resources. It provides on-demand elasticity, which is one of the most important feature of Cloud Computing towards the traditional hosting strategies. New resources can be dynamically allocated on demand or policy-based. This is one of the novel contribution of this paper, as the majority of the cloud resource managers provides just static allocation. For resource scheduling we have developed a mechanism that takes into account virtual machines´ capabilities and well defined policies and it uses a genetic algorithm. We used a QoS constraint base algorithm in order to maximize the performance, according to different defined policies. In order to demonstrate the performance of the presented resource managing mechanism we provide and interpret several experimental results.