Abstract
The total electric energy consumption of a server cluster to perform application processes on multiple virtual machines has to be reduced to realize energy-efficient information systems. In our previous studies, the ECLB (energy consumption laxity based) algorithm to allocate computation type application processes (computation processes) to virtual machines in a server cluster is proposed so that the total electric energy consumption of the server cluster can be reduced. Here, each virtual machine is bounded to one thread on a CPU in a server and computation processes are performed by using only one thread bounded to the virtual machine even if some threads are not used in the server. In this paper, the improved ECLB (IECLB) algorithm is proposed to furthermore reduce the total electric energy consumption of a server cluster by allocating unused threads to each virtual machine to perform computation processes. We evaluate the IECLB algorithm in terms of the total electric energy consumption of a server cluster compared with the ECLB algorithm.
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References
KVM: Main Page—KVM (Kernel Based Virtual Machine) (2015). http://www.linux-kvm.org/page/Mainx_Page
Natural Resources Defense Council (NRDS): Data center efficiency assessment—scaling up energy efficiency across the data center industry: evaluating key drivers and barriers (2014). http://www.nrdc.org/energy/files/data-center-efficiency-assessment-IP.pdf
Enokido, T., Aikebaier, A., Takizawa, M.: Process allocation algorithms for saving power consumption in peer-to-peer systems. IEEE Trans. Ind. Electron. 58(6), 2097–2105 (2011)
Enokido, T., Aikebaier, A., Takizawa, M.: A model for reducing power consumption in peer-to-peer systems. IEEE Syst. J. 4(2), 221–229 (2010)
Enokido, T., Aikebaier, A., Takizawa, M.: An extended simple power consumption model for selecting a server to perform computation type processes in digital ecosystems. IEEE Trans. Ind. Inform. 10(2), 1627–1636 (2014)
Enokido, T., Takizawa, M.: Integrated power consumption model for distributed systems. IEEE Trans. Ind. Electron. 60(2), 824–836 (2013)
Enokido, T., Takizawa, M.: Power consumption and computation models of virtual machines to perform computation type application processes. In: Proceedings of the 9th International Conference on Complex, Intelligent and Software Intensive Systems (CISIS-2015), pp. 126–133 (2015)
Enokido, T., Takizawa, M.: An energy-efficient load balancing algorithm to perform computation type application processes for virtual machine environments. In: Proceedings of the 18th International Conference on Network-Based Information Systems (NBiS-2015), pp. 32–39 (2015)
Intel Xeon Processor 5600 Series: The next generation of intelligent server processors. (2010) http://www.intel.com/content/www/us/en/processors/xeon/xeon-5600-brief.html
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Enokido, T., Duolikun, D., Takizawa, M. (2020). The Improved Energy Consumption Laxity Based (IECLB) Algorithm to Perform Computation Processes. In: Barolli, L., Xhafa, F., Hussain, O. (eds) Innovative Mobile and Internet Services in Ubiquitous Computing . IMIS 2019. Advances in Intelligent Systems and Computing, vol 994. Springer, Cham. https://doi.org/10.1007/978-3-030-22263-5_9
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DOI: https://doi.org/10.1007/978-3-030-22263-5_9
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