Karlsruhe Institute of Technology
Novel energy-aware cloud management methods dynamically reallocate computation across geographically distributed data centers to leverage regional electricity price and temperature differences. As a result, a managed Virtual Machine (VM) may suffer occasional downtimes. Current cloud providers only offer high availability VMs, without enough flexibility to apply such energy-aware management. In this paper, the authors show how to analyze past traces of dynamic cloud management actions based on electricity prices and temperatures to estimate VM availability and price values. They propose a novel Service Level Agreement (SLA) specification approach for offering VMs with different availability and price values guaranteed over multiple SLAs to enable flexible energy-aware cloud management.