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Global cost diversity aware dispatch algorithm for heterogeneous data centers

Published: 30 September 2011 Publication History

Abstract

Large, Internet based companies service user requests from multiple data centers located across the globe. These data centers often house a heterogeneous computing infrastructure and draw electricity from the local electricity market. Reducing the electricity costs of operating these data centers is a challenging problem, and in this work, we propose a novel solution which exploits both the data center heterogeneity and global electricity market diversity to reduce data center operating cost. We evaluate our solution in our test-bed that simulates a heterogeneous data center, using real-world request workload and real-world electricity prices. We show that our strategies achieve cost and energy saving of at least 21% over a naive load balancing scheme that distributes requests evenly across data centers, and outperform existing solutions which either do not exploit the electricity market diversity or do not exploit data center hardware diversity.

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  • (2021)Dynamic energy efficient load balancing strategy for computational gridConcurrency and Computation: Practice and Experience10.1002/cpe.648434:1Online publication date: 17-Jul-2021
  • (2018)Dynamic Cost-Aware Routing of Web RequestsFuture Internet10.3390/fi1007005710:7(57)Online publication date: 21-Jun-2018
  • (2018)An adaptive allocation scheme for load balancing and SLA maintenance in multi-location data center networksNOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium10.1109/NOMS.2018.8406274(1-9)Online publication date: Apr-2018
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    cover image ACM Conferences
    ICPE '11: Proceedings of the 2nd ACM/SPEC International Conference on Performance engineering
    March 2011
    470 pages
    ISBN:9781450305198
    DOI:10.1145/1958746

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    Association for Computing Machinery

    New York, NY, United States

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    Published: 30 September 2011

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    View all
    • (2021)Dynamic energy efficient load balancing strategy for computational gridConcurrency and Computation: Practice and Experience10.1002/cpe.648434:1Online publication date: 17-Jul-2021
    • (2018)Dynamic Cost-Aware Routing of Web RequestsFuture Internet10.3390/fi1007005710:7(57)Online publication date: 21-Jun-2018
    • (2018)An adaptive allocation scheme for load balancing and SLA maintenance in multi-location data center networksNOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium10.1109/NOMS.2018.8406274(1-9)Online publication date: Apr-2018
    • (2018)Experimental Evaluation of an Energy-Delay Aware Web Routing Method2018 IEEE 43rd Conference on Local Computer Networks (LCN)10.1109/LCN.2018.8638077(217-225)Online publication date: Oct-2018
    • (2018)Resilient service provisioning in cloud based data centersFuture Generation Computer Systems10.1016/j.future.2017.07.00586:C(765-774)Online publication date: 1-Sep-2018
    • (2016)Renewable Energy Prediction for Improved Utilization and Efficiency in Datacenters and Backbone NetworksComputational Sustainability10.1007/978-3-319-31858-5_4(47-74)Online publication date: 21-Apr-2016
    • (2015)Efficient Server Provisioning and Offloading Policies for Internet Data Centers with Dynamic Load-DemandIEEE Transactions on Computers10.1109/TC.2013.229579764:3(682-697)Online publication date: 1-Mar-2015
    • (2013)A comprehensive approach to reduce the energy cost of network of datacenters2013 IEEE Symposium on Computers and Communications (ISCC)10.1109/ISCC.2013.6754959(000275-000280)Online publication date: Jul-2013
    • (2013)Cutting Down the Energy Cost of Geographically Distributed Cloud Data CentersRevised Selected Papers of the COST IC0804 European Conference on Energy Efficiency in Large Scale Distributed Systems - Volume 804610.1007/978-3-642-40517-4_23(279-286)Online publication date: 22-Apr-2013
    • (2012)Dynamic Control of Electricity Cost with Power Demand Smoothing and Peak Shaving for Distributed Internet Data CentersProceedings of the 2012 IEEE 32nd International Conference on Distributed Computing Systems10.1109/ICDCS.2012.67(416-424)Online publication date: 18-Jun-2012

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