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Abstract
The continuous increase in electrical and computational power in data centers has been driving many research approaches under the Green IT main theme. However, most of this research focuses on reducing energy consumption considering hardware components and data center building features, like servers distribution and cooling flow. On the contrary, this paper points out that energy consumption is also a service quality problem, and presents an energy-aware design approach for building service-based applications. To this effect, techniques are provided to measure service costs combining Quality of Service (QoS) requirements and Green Performance Indicators (GPI) in order to obtain a better tradeoff between energy efficiency and performance for each user.
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References
GreenBiz.com. In Economic Downturn, Energy Efficiency and IT Take on Green Sheen (February 2009),http://www.greenbiz.com/news/2009/02/26/economic-energy-efficiency-green-it
Tschudi, W.: Save Energy Now – Data Center Briefing. Technical report, Lawrence Berkeley National Laboratory (October 2008)
Schmidt, N.H., Erek, K., Kolbe, L.M., Zarnekow, R.: Towards a Procedural Model for Sustainable Information Systems Management. In: HICSS 2009: Proceedings of the 42nd Hawaii International Conference on System Sciences, Hawaii, USA, pp. 1–10. IEEE Computer Society, Los Alamitos (2009)
Bacon, D.F., Graham, S.L., Sharp, O.J.: Compiler Transformations for High-Performance Computing. ACM Computing Surveys 26(4), 345–420 (1994)
Williams, J., Curtis, L.: Green: The New Computing Coat of Arms? IT Professional 10(1), 12–16 (2008)
Zenker, N., Rajub, J.: Resource Measurement for Services in a heterogeneous Environment. In: ICTTA 2008: Proceedings of the 3rd International Conference on Information and Communication Technologies: From Theory to Applications, Damascus, Syria, IEEE Communications Society, pp. 1–15 (2008)
Barroso, L.A., Hölzle, U.: The Case for Energy-Proportional Computing. Computer 40(12), 33–37 (2007)
Koomey, J.: Estimating total power consumption by servers in the U.S. and the world. Technical report, Analytics Press (February 2007),http://enterprise.amd.com/Downloads/svrpwrusecompletefinal.pdf
Orgerie, A.C., Lefèvre, L., Gelas, J.P.: Save Watts in Your Grid: Green Strategies for Energy-Aware Framework in Large Scale Distributed Systems. In: ICPADS 2008: Proceedings of the 2008 14th IEEE International Conference on Parallel and Distributed Systems, Melbourne, Victoria, Australia, pp. 171–178. IEEE Computer Society, Los Alamitos (2008)
U.S. Environmental Protection Agency (EPA): Report to Congress on Server and Data Center Energy Efficiency – Public Law 109-431. Technical report (August 2007)
Wang, D.: Meeting Green Computing Challenges. In: HDP 2007: Proceedings of the International Symposium on High Density packaging and Microsystem Integration, Shanghai, China, pp. 1–4. IEEE Computer Society, Los Alamitos (2007)
Xue, J.W.J., Chester, A.P., He, L.G., Jarvis, S.A.: Model-driven Server Allocation in Distributed Enterprise Systems. In: ABIS 2009: Proceedings of the 3rd International Conference on Adaptive Business Information Systems, Leipzig, Germany (March 2009)
Liu, L., Wang, H., Liu, X., Jin, X., He, W.B., Wang, Q.B., Chen, Y.: GreenCloud: a new architecture for green data center. In: ICAC-INDST 2009: Proceedings of the 6th international conference industry session on Autonomic computing and communications industry session, Barcelona, Spain, pp. 29–38. ACM, New York (2009)
Comuzzi, M., Pernici, B.: A Framework for QoS-Based Web Service Contracting. ACM Transactions on the Web (June 2009)
Plebani, P., Pernici, B.: URBE: Web Service Retrieval Based on Similarity Evaluation. IEEE Transactions on Knowledge and Data Engineering (2009)
Zeng, L., Benatallah, B., Ngu, A.H., Dumas, M., Kalagnanam, J., Chang, H.: QoS-Aware Middleware for Web Services Composition. IEEE Transactions on Software Engineering 30(5), 311–327 (2004)
Ardagna, D., Pernici, B.: Adaptive Service Composition in Flexible Processes. IEEE Transactions on Software Engineering 3(6), 369–384 (2007)
Canfora, G., Di Penta, M., Esposito, R., Villani, M.L.: QoS-Aware Replanning of Composite Web Services. In: ICWS 2005: Proceedings of the IEEE International Conference on Web Services, Orlando, FL, USA, pp. 121–129. IEEE Computer Society, Los Alamitos (2005)
Jaeger, M.C., Mühl, G., Golze, S.: QoS-Aware Composition of Web Services: A Look at Selection Algorithms. In: ICWS 2005: IEEE International Conference on Web Services, Orlando, FL, USA, pp. 807–808. IEEE Computer Society, Los Alamitos (2005)
Rossi, F., van Beek, P., Walsh, T.: Handbook of Constraint Programming. Elsevier Science Inc., New York (2006)
Hwang, C., Yoon, K.: Multiple Criteria Decision Making. LNEMS (1981)
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Authors and Affiliations
Dipartimento di Elettronica e Informazione, Politecnico di Milano, Italy
Alexandre Mello Ferreira, Kyriakos Kritikos & Barbara Pernici
- Alexandre Mello Ferreira
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- Kyriakos Kritikos
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- Barbara Pernici
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Editors and Affiliations
Dipartimento di Elettronica e Informazione, Politecnico di Milano, via Golgi, 40, 20133, Milano, Italy
Luciano Baresi
School of Software, Tsinghua University, Main Bulding Room 818, 100084, Beijing, China
Chi-Hung Chi
Dept. of Computer Science, University of Massachusetts, 100 Morrissey Blvd., MA 02125-3393, Boston, USA
Jun Suzuki
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Mello Ferreira, A., Kritikos, K., Pernici, B. (2009). Energy-Aware Design of Service-Based Applications. In: Baresi, L., Chi, CH., Suzuki, J. (eds) Service-Oriented Computing. ServiceWave ICSOC 2009 2009. Lecture Notes in Computer Science, vol 5900. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10383-4_7
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