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Improved Redundant Power Consumption Laxity-Based Algorithm for Server Clusters

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Information Technology Convergence

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 253))

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Abstract

A client usually issues a request to one server in a cluster of servers and the server sends a reply to the client. Once the server stops by fault, the client is suspended to wait for a reply. In order to be tolerant of server faults, each request is redundantly performed on multiple servers. Here, the more number of servers a request process is redundantly performed, the more reliable but the more amount of electric energy is consumed. Thus, it is critical to discuss how to realize energy-aware, robust clusters of servers. In this paper, we newly propose the improved redundant power consumption laxity-based (IRPCLB) algorithm where once a process successfully terminates on one server, meaningless redundant processes are not performed on the other servers. We show the total power consumption of servers is reduced in the IRPCLB algorithm.

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References

  1. Hemmert S (2010) Green HPC: from nice to necessity. In: Proceeding of the computing in science and engineering, pp 8–10

    Google Scholar 

  2. Lamport R, Shostak R, Pease M (1982) The Byzantine generals problems. ACM Trans Program Lang Syst 4(3):382–401

    Google Scholar 

  3. Enokido T, Aikebaier A, Takizawa M (2010) A model for reducing power consumption in peer-to-peer systems. IEEE Syst J 4(2):221–229

    Article  Google Scholar 

  4. Enokido T, Aikebaier A, Takizawa M (2011) Process allocation algorithms for saving power consumption in peer-to-peer systems. IEEE Trans Ind Electron 58(6):2097–2105

    Article  Google Scholar 

  5. Enokido T, Takizawa M (2012) Energy-efficient server selection algorithms based on the extended simple power consumption model. In: Proceedings of the 6th international conference on complex, intelligent and software intensive systems (CISIS-2012), pp 276–283

    Google Scholar 

  6. Enokido T, Aikebaier A, Takizawa M (2012) A redundant power consumption laxity-based (RPCLB) algorithm for computation type applications. In: Proceedings of the 14th international symposium on multimedia network systems and applications (MNSA-2012), pp 562–567

    Google Scholar 

  7. Job Scheduling Algorithms in Linux Virtual Server, http://www.linuxvirtualserver.org/docs/ scheduling.html

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Correspondence to Tomoya Enokido .

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© 2013 Springer Science+Business Media Dordrecht

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Enokido, T., Aikebaier, A., Takizawa, M. (2013). Improved Redundant Power Consumption Laxity-Based Algorithm for Server Clusters. In: Park, J.J., Barolli, L., Xhafa, F., Jeong, H.Y. (eds) Information Technology Convergence. Lecture Notes in Electrical Engineering, vol 253. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-6996-0_43

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  • DOI: https://doi.org/10.1007/978-94-007-6996-0_43

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-007-6995-3

  • Online ISBN: 978-94-007-6996-0

  • eBook Packages: EngineeringEngineering (R0)

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