Abstract
We consider a system of servers that process incoming requests. These requests experience periods of high and low arrival rate. Servers can be powered down dynamically to conserve power. We examine this system with a view to balancing the need between processing incoming requests quickly and reducing power consumption. The system is modeled formally and heuristics are presented to decide when servers should be powered down or up. Preliminary results of the performance of these heuristics are also included.
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References
Bianchini, R., Rajamony, R.: Power and Energy Management for Server Systems. Computer 37, 68–74 (2004)
Chase, J., Anderson, D., Thakar, P., Vahdat, A., Doyle, R.: Managing Energy and Server Resources in Hosting Centers. ACM SIGOPS Operating Systems Review 35(5), 103–116 (2001)
Chen, G., He, W., Liu, J., Nath, S., Rigas, L., Xiao, L., Zhao, F.: Energy-Aware Server Provisioning and Load Dispatching for Connection Intensive Internet Services, Microsoft Research Technical Report, MSR-TR-2007-130, ftp://ftp.research.microsoft.com/pub/tr/TR-2007-130.pdf
Fan, X., Weber, W., Barroso, L.: Power Provisioning for a Warehouse-sized Computer. In: Proceedings of the 34th Annual International Symposium on Computer Architecture, San Diego CA, June 2007, pp. 13–23 (2007)
Heath, T., Diniz, B., Carrera, E., Meira Jr., W., Bianchini, R.: Self-Configuring Heterogeneous Server Clusters. In: Workshop on Compilers and Operating Systems for Low Power (2003)
Kleinrock, L.: Queueing systems, vol. 1. Wiley Interscience, New York (1975)
Mastroleon, L., Bambos, N., Kozyrakis, C., Economou, D.: Autonomic Power Management Schemes for Internet Servers and Data Centers. In: Global Telecommunications Conference, GLOBECOM 2005, pp. 943–947. IEEE (2005)
Mitrani, I., Chakka, R.: Spectral Expension Solution for a Class of Markov Models: Application and Comparison with the Matrix-Geometric Method. Performance Evaluation 23, 241–260 (1995)
Pinheiro, E., Bianchini, R., Carrera, E., Heath, T.: Dynamic Cluster Reconfiguration for Power and Performance. In: Benini, L., Kandemir, M., Ramanujam, J. (eds.) Compilers and Operating Systems for Low Power, pp. 75–91 (2003)
Slegers, J., Mitrani, I., Thomas, N.: Static and Dynamic Server Allocation in Systems with On/Off Sources (to appear in special issue of Annals of Operations Research, entitled “Stochastic Performance Models for Resource Allocation in Communication Systems”)
Slegers, J., Mitrani, I., Thomas, N.: Optimal Dynamic Server Allocation in Systems with On/Off Sources. In: Wolter, K. (ed.) EPEW 2007. LNCS, vol. 4748, pp. 186–199. Springer, Heidelberg (2007)
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Slegers, J., Thomas, N., Mitrani, I. (2008). Dynamic Server Allocation for Power and Performance. In: Kounev, S., Gorton, I., Sachs, K. (eds) Performance Evaluation: Metrics, Models and Benchmarks. SIPEW 2008. Lecture Notes in Computer Science, vol 5119. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69814-2_16
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DOI: https://doi.org/10.1007/978-3-540-69814-2_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-69813-5
Online ISBN: 978-3-540-69814-2
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