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Energy-aware Server Selection Algorithms for Storage and Computation Processes

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Advances on Broad-Band Wireless Computing, Communication and Applications (BWCCA 2016)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 2))

Abstract

Application processes like Web applications use not only CPU but also storages like HDD. In our previous studies, the algorithms to select a server in a cluster are proposed to energy-efficiently perform processes which use either CPU or storages. In this paper, we consider a more general type of process which does both the computation and accesses to storages. In this paper, we newly propose LEAG and GEAG algorithms to select servers to perform general processes in a cluster so that the total electric energy consumption of the servers can be reduced. We evaluate the LEAG and GEAG algorithms in terms of total electric energy consumption of the servers and average execution time of the processes. We show the electric energy consumed by servers can be reduced in the LEAG and GEAG algorithms.

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References

  1. Bianchini, R. and Rajamony, R.: Power and Energy Management for Server Systems, IEEE Computer, 37(11), pp. 68-74, (2004).

    Google Scholar 

  2. Duolikun, D., Aikebaier, A., Enokido, T., and Takizawa, M.: Energy-aware Passive Replication of Processes, Journal of Mobile Multimedia, 9(1&2), pp.53-65, (2013).

    Google Scholar 

  3. Duolikun, D., Aikebaier, A., Enokido, T., and Takizawa, M.: Energy-Efficient Dynamic Clusters of Servers, Journal. of Supercomputing, 71(5), pp.1642–1656, (2015).

    Google Scholar 

  4. Enokido, T., Aikebaier, A., and Takizawa, M.: A Model for Reducing Power Consumption in Peer-to-Peer Systems, IEEE Systems Journal, 4(2), pp.221-229, (2010).

    Google Scholar 

  5. Enokido, T., Aikebaier, A., and Takizawa, M.: Process Allocation Algorithms for Saving Power Consumption in Peer-to-Peer Systems, IEEE Transactions on Industrial Electronics, 58(6), pp.2097–2105, (2011).

    Google Scholar 

  6. Enokido, T., Aikebaier, A., and Takizawa, M.: An Extended Simple Power Consumption Model for Selecting a Server to Perform Computation Type Processes in Digital Ecosystems, IEEE Transactions on Industrial Informatics, 10(2), pp.1627-1636, (2014).

    Google Scholar 

  7. Enokido, T., Aikebaier, A., and Takizawa, M.: An Integrated Power Consumption Model for Communication and Transaction Based Applications, Proc. of IEEE the 25th International Conference on Advanced Information Networking and Applications (AINA-2011), pp. 627-636, (2011).

    Google Scholar 

  8. Enokido, T., Aikebaier, A., and Takizawa, M.: Evaluation of the Extended Improved Redundant Power Consumption Laxity-Based (EIRPCLB) Algorithm, Proc. of IEEE the 28th International Conference on Advanced Information Networking and Applications (AINA-2014), pp.940–947, (2014).

    Google Scholar 

  9. Ghemawat, S., Gobioff, H., and Leung, S.-T.: The Google Files System, Proc. of the 19th ACM Symposium on Operating Systems Principles, (SOSP’03), pp.29-43, (2003).

    Google Scholar 

  10. Hoeller, J., Tsiatsis, V., Mulligan, C., Karnouskos, S., Avesand, S., and Boyle, D.: From Machine-to-Machine to the Internet of Things: Introduction to a New Age of Intelligence. Elsevier, 352 pages, (2014).

    Google Scholar 

  11. HP server: http://h50146.www5.hp.com/products/servers/proliant/system pdf/dl360pgen8.pdf.

  12. Inoue, T., Aikebaier, A., Enokido, T., and Takizawa, M.: Power Consumption and Processing Models of Servers in Computation and Storage Based Applications, Journal of Mathematical and Computer Modeling, 58(5&6), pp.1475-1488, (2013).

    Google Scholar 

  13. Intel Xeon Processor 5600 Series: The Next Generation of Intelligent Server Processors, white paper [online]. Available: http://www.intel.com/content/www/us/en/processors/xeon/xeon-5600-brief.html, (2010).

  14. Job Scheduling Algorithms in Linux Virtual Server, http://www.linuxvirtualserver.org/docs/scheduling.html, (2010).

  15. Kataoka, H., Duolikun, D., Enokido, T., and Takizawa, M.: Power Consumption and Computation Models of a Server with a Multi-core CPU and Experiments, Proc. of IEEE the 29th International Conference on Advanced Information Networking and Applications Workshops (WAINA-2015), pp.318-325, (2015).

    Google Scholar 

  16. Kataoka, H., Duolikun, D., Enokido, T., and Takizawa, M.: Evaluation of Energy-Aware Server Selection Algorithms, Proc. of the 9th international Conference on International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS-2015), pp.318-326, (2015).

    Google Scholar 

  17. Kataoka, H., Duolikun, D., Enokido, T., and Takizawa, M.: Multi-level Computation and Power Consumption Models. Proc. of the 18th International Conference on Network-Based Information Systems (NBiS-2015), pp.40-47, (2015).

    Google Scholar 

  18. Kataoka, H., Duolikun, D., Enokido, T., and Takizawa, M.: Energy-efficient Virtualisation of Threads in a Server Cluster, Proc. of the 10th International Conference on Broadband and Wireless Computing, Communication and Applications (BWCCA-2015), pp.288-295, (2015).

    Google Scholar 

  19. Kataoka, H., Duolikun, D., Enokido, T., and Takizawa, M.: Energy-aware Server Selection Algorithms in a Scalable Cluster, Proc. of IEEE the 30th International Conference on Advanced Information Networking and Applications (AINA-2016), pp.565-572, (2016).

    Google Scholar 

  20. Linux distribution. Available: http://itpro.nikkeibp.co.jp/article/COLUMN/20120223/382669/.

  21. Metaprotocol Corp: ”UWmeter” Online’. Available: http://www.metaprotocol.com/UWmeter/Feautures.html, 2011.

  22. Natural Resources Defense Council (NRDS): Data Center Efficiency Assessment – Scaling up Energy Efficiency across the Data Center Industry: Evaluating Key Drivers and Barriers. http://www.nrdc.org/energy/files/data-center-efficiency-assessment-IP.pdf, (2014).

  23. Sawada, A., Nakamura, S., Enokido, T., and Takizawa, M.: Eco Model of Storage-based Servers. Proc. of the NBiS Workshops, pp.407-411, (2015).

    Google Scholar 

  24. Sawada, A., Kataoka, H., Duolikun, D., Enokido, T., and Takizawa, M.: Energy-aware Clusters of Servers for Storage and Computation Applications. Proc. of IEEE the 30th International Conference on Advances Information Networking and Applications (AINA-2016), pp.400-407, (2016).

    Google Scholar 

  25. Sawada, A., Kataoka, H., Duolikun, D., Enokido, T., and Takizawa, M.: Energy-aware Clusters of Servers for Storage and Computation Applications. Proc. of IEEE the 10th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS-2016), pp.162-169, (2016).

    Google Scholar 

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Author information

Authors and Affiliations

  1. Hosei University, Tokyo, Japan

    Atsuhiro Sawada, Hiroki Kataoka, Dilawaer Duolikun & Makoto Takizawa

  2. Rissho University, Tokyo, Japan

    Tomoya Enokido

Authors
  1. Atsuhiro Sawada
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  2. Hiroki Kataoka
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  3. Dilawaer Duolikun
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  4. Tomoya Enokido
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  5. Makoto Takizawa
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Corresponding author

Correspondence to Atsuhiro Sawada .

Editor information

Editors and Affiliations

  1. Fukuoka Institute of Technology , Fukuoka, Japan

    Leonard Barolli

  2. Campus Nord,Ed. Omega (Room 109), Technical University of Catalonia Campus Nord,Ed. Omega (Room 109), Barcelona, Spain

    Fatos Xhafa

  3. Department of Information Security Engin, Soonchunhyang University Department of Information Security Engin, Asan-si, Korea (Republic of)

    Kangbin Yim

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Sawada, A., Kataoka, H., Duolikun, D., Enokido, T., Takizawa, M. (2017). Energy-aware Server Selection Algorithms for Storage and Computation Processes. In: Barolli, L., Xhafa, F., Yim, K. (eds) Advances on Broad-Band Wireless Computing, Communication and Applications. BWCCA 2016. Lecture Notes on Data Engineering and Communications Technologies, vol 2. Springer, Cham. https://doi.org/10.1007/978-3-319-49106-6_5

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  • DOI: https://doi.org/10.1007/978-3-319-49106-6_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-49105-9

  • Online ISBN: 978-3-319-49106-6

  • eBook Packages: EngineeringEngineering (R0)

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