An Energy-Efficient Process Replication Algorithm in Virtual Machine Environments
Server cluster systems are widely used to realize fault-tolerant, scalable, and high performance application services with virtual machine technologies. In order to provide reliable application services, multiple replicas of each application process can be redundantly performed on multiple virtual machines. On the other hand, a server cluster system consumes a large amount of electric energy since multiple replicas of each application process are performed on multiple virtual machines. It is critical to discuss how to realize not only reliable but also energyefficient server cluster systems. In this paper, we propose the redundant energy consumption laxity based (RECLB) algorithm to select multiple virtual machines for redundantly performing each application process in presence of server faults so that the total energy consumption of a server cluster and the average computation time of each process can be reduced. We evaluate the RECLB algorithm in terms of the total energy consumption of a server cluster and the average computation time of each process compared with the basic round-robin (RR) algorithm.
Unable to display preview. Download preview PDF.
- 1.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
- 2.Enokido, T., Aikebaier, A., and Takizawa,M.: Process allocation algorithms for saving power consumption in peer-to-peer systems. IEEE Trans. on Industrial Electronics, 58(6), pp. 2097–2105, (2011).Google Scholar
- 3.Enokido, T. and Takizawa, M.: Integrated power consumption model for distributed systems IEEE Trans. on Industrial Electronics, 60(2), pp. 824–836, (2013).Google Scholar
- 4.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 Trans. on Industrial Informatics, 10(2), pp. 1627–1636, (2014).Google Scholar
- 5.Enokido, T. and Takizawa, M.: Power consumption and computation models of virtual machines to perform computation type application processes. Proc. of the 9th International Conference on Complex, Intelligent and Software Intensive Systems (CISIS-2015), pp. 126–133, (2015).Google Scholar
- 6.Enokido, T. and Takizawa, M.: An energy-efficient load balancing algorithm to perform computation type application processes for virtual machine environments. Proc. of the 18th International Conference on Network-Based Information Systems (NBiS-2015), pp. 32–39, (2015).Google Scholar
- 7.Intel: Intel xeon processor 5600 series : the next generation of intelligent server processors. http://www.intel.com/content/www/us/en/processors/xeon/xeon-5600-brief.html, (2010).
- 8.Lamport, R., Shostak, R., and Pease, M.: The byzantine generals problems. ACM Trans. on Programing Language and Systems, 4(3), pp.382–401, (1982).Google Scholar
- 9.LVS project: Job scheduling algorithms in linux virtual server. http://www.linuxvirtualserver.org/docs/scheduling.html, (2010).
- 10.Natural Resources Defense Council (NRDS): Data center efficiency assessment – scaling up energy efficiency across the data center lndustry: Evaluating key drivers and barriers -. http://www.nrdc.org/energy/files/data-center-efficiency-assessment-IP.pdf, (2014).