Resource management in IaaS-Clouds

Abstract. In this thesis, we present our work on four fundamental prob-lems current IaaS clouds face: a) How consumers can assist the cloud mid-dleware in resource management while the internal structure of the cloud is never revealed. b) TheVM-to-PM placement in large non-homogeneous physical infrastructures. c) Load balancing though live VM migration under time constraints while not depleting the cloud resources. d) The maximization of the financial profit when using the cloud. The proposed solutions on these problems show significant improvements in the effi-ciency of IaaS clouds.