Classified Power Capping with Distribution Trees in Cloud Computing

Abstract

Power management is becoming very important in data centers. Cloud computing is also one of the newest promising data center techniques which is appealing to many big companies. As cloud computing is different from current data centers in terms of power management due to a dynamic structure and property for its online service. Power budgeting, in terms of its important role in power management, provides powerful solutions for cloud computing with dynamic capabilities. To be specific, existing methods for data centers are based on power distribution units (PDU) divided by fixed locations on physical levels. However, it is not suitable for cloud with the dynamic property. We propose a power management design based at the logical level which uses a distribution tree with classified power capping by different service or workload types. By setting multiple trees, we can differentiate and analyze the effect of workload types and Service Level Agreements (SLAs) in terms of power characteristics.