出版社：University of Malaya * Faculty of Computer Science and Information Technology
摘要：The energy dissipated as heat for each utilization level of a data center server is empirically measured and stored as the thermalprofile. These thermalprofiles are used to predict the outlet temperatures of the related servers for current and future utilization. The predicted outlet temperature is an important parameter for energy efficient thermalaware workload scheduling and workload migration in green data centers. This paper presents three models for outlet temperature prediction on virtualized data center servers based on thermalprofile. The best case scenario managed to predict the outlet temperature with a negligible error of 0.3 degree Celsius.
