Resource Management Of Virtual Machines In Cloud Environments

Abstract

Cloud computing has evolved as one of the most important areas of technology nowadays. The next step in this direction is cloud federations, i.e. unions of clouds that each is probably operated by a different provider. In such an environment, users can deploy resources from any of the clouds that belong to the federation, hence the need for a way to choose the most appropriate provider.In this thesis, we developed a system that automatically collects information from all the VMs of a cloud federation and stores them in a central database. Then, we created a tool that ,based on this information, aims to discover the optimal combination of cloud resources according to the user demands and decision criteria. This system has to be scalable, in other words it has to be able to operate with a great number of users and clouds, so that it can work in a realistic scenario. We tested this aspect of our implementation and the results were satisfactory. Our system currently works with clouds running the Synnefo software and can be extended to support many more.