Abstract
In energy-aware information systems, it is critical to discuss how to select a server for each request from clients in order to not only achieve performance objectives but also reduce the total power consumption of a system. In order to design and evaluate the server selection algorithm, it is critical to define the power consumption model of a server to perform processes. In our previous studies, the transmission power consumption (TPC) model of a server is proposed to perform transmission processes. In the TPC model, the electric power consumption of cooling devices is assumed to be constant. Cooling devices like fans consume the electric power in a server. Thus, the total power consumption of a server depends on not only computation and communication devices but also cooling devices. In this paper, we propose the extended TPC (ETPC) model to take into account the power consumption of cooling devices. We validate the TPC and ETPC models by measuring the power consumption and transmission time of a server.
Similar content being viewed by others
References
Barolli L, Xhafa F (2011) Jxta-overlay: a p2p platform for distributed, collaborative and ubiquitous computing. IEEE Trans Ind Electron 58(6):2163–2172
Grossman RL (2010) The case for cloud computing. IT Professional 11(2):23–27
Koomey J (2011) Growth in Data Center Electricity Use 2005 to 2010. White paper. http://www.analyticspress.com/datacenters.html
Hemmert S (2010) Green hpc: from nice to necessity. Comput Sci Eng 12:8–10
Murphy R, Sterling T, Dekate C (2010) Advanced architectures and execution models to support green computing. Comput Sci Eng 12:38–47
Waluyo A, Rahayu W, Taniar D, Srinivasan B (2011) A novel structure and access mechanism for mobile broadcast data in digital ecosystems. IEEE Trans Ind Electron 58(6):2173–2182
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
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
Enokido T, Takizawa M (2012) An extended power consumption model for distributed applications. In: Proceedings of IEEE the 26th international conference on advanced information networking and applications (AINA-2012), pp 321–328
Enokido T, Suzuki K, Aikebaier A, Takizawa M (2010) Algorithms for reducing the total power consumption in data communication-based applications. In: Proceedings of IEEE the 24th international conference on advanced information networking and applications (AINA-2010), pp 142–149
Enokido T, Suzuki K, Aikebaier A, Takizawa M (2010) Laxity based algorithm for reducing power consumption in distributed systems. In: Proceedings of the 4th international conference on complex, intelligent and software intensive systems (CISIS-2010), pp 321–328
Enokido T, Aikebaier A, Takizawa M (2010) Power consumption-based server selection algorithms for communication-based systems. In: Proceedings of the 13th international conference on network-based, information systems (NBiS2010), pp 201–208
Enokido T, Aikebaier A, Takizawa M (2011) An extended power consumption-based algorithm for communication-based applications. J Ambient Intell Human Comput 2(4):263–270
Inoue T, Aikebaier A, Enokido T, Takizawa M (2012) Energy-aware distributed systems for computation and storage-based applications. In: Proceedings of the 6th international conference on complex, intelligent, and software intensive systems (CISIS-2012), pp 269–275
Enokido T, Aikebaier A, Takizawa M (2011) An integrated power consumption model for communication and transaction based applications. In: Proceedings of IEEE the 25th international conference on advanced information networking and applications (AINA-2011), pp 695–702
Ghemawat S, Gobioff H, Leung S-T (2003) The google file system. In: Proceedings of the 19th ACM symposium on operating systems principles (SOSP’03), pp 29–43
Bianchini R, Carrera EV (2000) Analytical and experimental evaluation of cluster-based network servers. World Wide Web J 3(4):215–229
Bianchini R, Rajamony R (2004) Power and energy management for server systems. IEEE Comput 37(11):68–74
Heath T, Diniz B, Carrera EV, Meira W, Bianchini R (2005) Energy conservation in heterogeneous server clusters. In: PPoPP ’05: Proceedings of the 10th ACM SIGPLAN symposium on principles and practice of parallel programming, pp 186–195
Meisner D, Gold BT, Wenisch TF (2009) PowerNap: eliminating server idle power. In: Proceedings of the 14th international conference on architectural support for programming languages and operating systems (ASPLOS’09), pp 205–216
UWmeter (2011) http://www.metaprotocol.com/UWmeter/Features.html
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Enokido, T., Takizawa, M. The evaluation of the extended transmission power consumption (ETPC) model to perform communication type processes. Computing 95, 1019–1037 (2013). https://doi.org/10.1007/s00607-012-0222-z
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00607-012-0222-z
Keywords
- Energy-aware information systems
- Green IT technology
- Digital ecosystems
- Transmission power consumption (TPC) model
- Extended transmission power consumption (ETPC) model