Classified power capping by network distribution trees for green computing

    Authors

    Z. K. Wu; C. Giles;J. Wang

    Comments

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    Abbreviated Journal Title

    Cluster Comput.

    Keywords

    Distribution tree; Power budgeting; Power consumption on the logical; level; SLA; Classified power capping; Cloud computing; Green computing; Computer Science, Information Systems; Computer Science, Theory &; Methods

    Abstract

    Power management is becoming very important in data centers. To apply power management in cloud computing, Green Computing has been proposed and considered. Cloud computing is one of the new promising techniques, that are appealing to many big companies. In fact, due to its dynamic structure and property in online services, cloud computing 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 distribution trees. By setting multiple trees or forest, we can differentiate and analyze the effect of workload types and Service Level Agreements (SLAs, e.g. response time) in terms of power characteristics. Based on these, we introduce classified power capping for different services as the control reference to maximize power saving when there are mixed workloads.

    Journal Title

    Cluster Computing-the Journal of Networks Software Tools and Applications

    Volume

    16

    Issue/Number

    1

    Publication Date

    1-1-2013

    Document Type

    Article

    Language

    English

    First Page

    17

    Last Page

    26

    WOS Identifier

    WOS:000316011800003

    ISSN

    1386-7857

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