Title

Power Control By Distribution Tree With Classified Power Capping In Cloud Computing

Keywords

Classified power capping; Cloud computing; Distribution tree; Green cloud; Power budgeting; Power consumption on the logical level; SLA

Abstract

Power management is becoming very important in data centers. Cloud computing is also one of the newer promising techniques, that are appealing to many big companies. To apply power management in cloud computing has been proposed and considered as green computing. Cloud computing, due to its dynamic structure and property in online services, differs from current data centers in terms of power management. To better manage the power consumption of web services in cloud computing with dynamic user locations and behaviors, we propose a power budgeting design based on the logical level, using a distribution tree. By setting multiple trees, we can differentiate and analyze the effect of workload types and Service Level Agreements (SLAs, e.g. response time) in terms of power characteristics. Base on these, we introduce classified power capping for different services as the control reference to maximize power saving when there are mixed workloads. © 2010 IEEE.

Publication Date

12-1-2010

Publication Title

Proceedings - 2010 IEEE/ACM International Conference on Green Computing and Communications, GreenCom 2010, 2010 IEEE/ACM International Conference on Cyber, Physical and Social Computing, CPSCom 2010

Number of Pages

319-324

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/GreenCom-CPSCom.2010.129

Socpus ID

79953076253 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/79953076253

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