Proactive thermal-aware management in cloud datacenters

OF THE DISSERTATION Proactive Thermal-aware Management in Cloud Datacenters by Eun Kyung Lee Dissertation Director: Professor Dario Pompili The complexity of modern datacenters is growing at an alarming rate due to the rising popularity of the cloud-computing paradigm as an effective means to cater to the ever increasing demand for computing and storage. The management of modern datacenters is rapidly exceeding human ability, making autonomic approaches essential. In the meanwhile, the increasing demand for faster computing and high storage capacity has resulted in an increase in energy consumption and heat generation in datacenters. Due to the increased heat generation, cooling requirements have become a critical concern, both in terms of growing operating costs as well as their environmental and societal impacts. (e.g., increase in CO2 emissions, overloading the electric supply grid resulting in power cuts, heavy water usage for cooling systems causing water scarcity) In this thesis, proactive thermal-aware datacenter management solutions, which include thermaland energy-aware resource provisioning, cooling system optimization, and anomaly detection, are proposed to help minimize both the impact on the environment and the Total Cost of Ownership (TCO) of datacenters, making them energy efficient and green. For the proactive thermal-aware solutions, a novel architecture endowed with different abstract components is introduced, which is composed of four