Abstract
The IT-for-Green project aims at developing the next generation of Corporate Environmental Management Information Systems (CEMIS). Green IT being one important aspect of this, the IT-for-Green project seeks to support the analysis of a given data center situation and to support the simulation of alternative architectures to find ways to increase energy efficiency. To facilitate this, we develop a data center simulation framework, designed to be part of a larger CEMIS platform. This is achieved through a focus on flexibility, high interoperability and open standards. Flexibility is especially achieved by building the framework on top of an underlying data center ontology. This ontological approach allows us to derive many components of the framework from a single source, maintaining the ability to quickly adapt to future requirements.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsNotes
References
Gartner, Inc.: Press Release: Gartner Says Worldwide Data Center Hardware Spending on Pace to Reach $99 Billion in 2011. (2011).
Koomey, J. G.: Estimating total power consumption by servers in the U.S. and the world. (2007).
EPA, US Environmental Protection Agency: Report to congress on server and data center energy efficiency: Public law 109–431, (2008).
Barroso, L. A., Hölzle, U.: The case for energy-proportional computing. IEEE Comput., 40(12), 33–37 (2007).
Memari, A., Vornberger, J., Nebel, W., Marx Gómez, J.: A Data Center Simulation Framework Based on an Ontological Foundation. In Marx Gómez, J., Sonnenschein, M., Vogel, U., Rapp, B., Giesen, N. (eds.) Proceedings of EnviroInfo 2014 – 28th International Conference on Informatics for Environmental Protection, Oldenburg, Germany (2014).
Memari, A.: Angewandtes Semantisches Metamodell von Rechenzentren für Green IT. In 5. BUIS-Tage: IT-gestütztes Ressourcen- und Energiemanagement, Oldenburg, Germany (2013).
Niles, I., Pease, A.: Towards a standard upper ontology. In Proceedings of the international conference on Formal Ontology in Information Systems-Volume 2001, pp. 2–9. ACM (2001).
Germain-Renaud, C., Furst, F., Jouvin, M., Kassel, G., Nauroy, J., Philippon, G.: The Green Computing Observatory: A Data Curation Approach for Green IT. In IEEE Ninth International Conference on Dependable, Autonomic and Secure Computing (DASC), pp. 798–799. IEEE (2011).
Kuhn, W.: A Functional Ontology of Observation and Measurement. In Proceedings of the 3rd International Conference on GeoSpatial Semantics. pp. 26–43. Springer, Berlin Heidelberg (2009).
Borgo, S., Masolo, C.: Foundational Choices in DOLCE. In Staab, S., Studer, R. (eds.): Handbook on Ontologies. pp. 361–381. Springer, Berlin Heidelberg (2009).
Calheiros, R. N., Ranjan, R., Beloglazov, A., De Rose, C. A., Buyya, R.: CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms. Software: Practice and Experience, 41(1), 23–50 (2011).
Altintas, I., Berkley, C., Jaeger, E., Jones, M., Ludascher, B., Mock, S.: Kepler: an extensible system for design and execution of scientific workflows. In Proceedings of the 16th International Conference on Scientific and Statistical Database Management. pp. 423–424. IEEE (2004).
Asghar, S. A., Tariq, S., Torabzadeh-Tari, M., Fritzson, P., Pop, A., Sjölund, M., Vasaiely, P., Schamai W.: An open source modelica graphic editor integrated with electronic notebooks and interactive simulation. (2011).
The MathWorks, Inc.: MATLAB and SIMULINK 2012b, Natick, Massachusetts, United States (2012).
Kumar, A., Saigal, R.: Visual Understanding Environment. In Proceedings of the 5th ACM/IEEE-CS joint conference on Digital libraries. pp. 413–413. ACM (2005).
Shearer, R., Motik, B., Horrocks, I.: HermiT: A highly-efficient OWL reasoner. In Proceedings of the 5th International Workshop on OWL: Experiences and Directions (OWLED 2008). pp. 26–27. (2008).
Rivoire, S., Ranganathan, P., Kozyrakis, C.: A comparison of high-level full-system power models. In Proceedings of the 2008 conference on Power aware computing and systems. pp. 3–3. USENIX Association, San Diego, California (2008).
Fan, X., Weber, W. D., Barroso, L. A.: Power provisioning for a warehouse-sized computer. ACM SIGARCH Comput. Archit. News, 35(2), 13–23 (2007).
Bircher, W. L., John, L. K.: Complete system power estimation: A trickle-down approach based on performance events. In IEEE International Symposium on Performance Analysis of Systems & Software (ISPASS). pp. 158–168. IEEE (2007).
Pelley, S., Meisner, D., Wenisch, T. F., VanGilder, J. W.: Understanding and abstracting total data center power. In Workshop on Energy-Efficient Design. (2009).
Bircher, W. L., Valluri, M., Law, J., John, L. K.: Runtime identification of microprocessor energy saving opportunities. In Proceedings of the 2005 International Symposium on Low Power Electronics and Design (ISLPED’05). pp. 275–280. IEEE (2005).
Pedram, M., Hwang, I.: Power and performance modeling in a virtualized server system. In 39th International Conference on Parallel Processing Workshops (ICPPW), pp. 520–526. IEEE (2010).
Dhiman, G., Mihic, K., Rosing, T.: A system for online power prediction in virtualized environments using gaussian mixture models. In 47th ACM/IEEE Design Automation Conference (DAC), pp. 807–812. IEEE (2010).
Koller, R., Verma, A., Neogi, A.: WattApp: an application aware power meter for shared data centers. In Proceeding of the 7th international conference on autonomic computing, pp. 31–40. ACM (2010).
Pearson, K.: Note on regression and inheritance in the case of two parents. Proc. R. Soc. Lond., 58(347–352), 240–242 (1895).
Garling, C.: AC/DC Battle Returns to Rock Data-Center World. http://www.wired.com/2011/12/ac-dc-power-data-center/ (2011). Accessed 26 September 2014.
Acknowledgement
This work is part of the project IT-for-Green (Next Generation CEMIS for Environmental, Energy and Resource Management). The IT-for-Green project is funded by the European regional development fund (grant number W/A III 80119242).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Memari, A., Vornberger, J., Gómez, J.M., Nebel, W. (2016). A Data Center Simulation Framework Based on an Ontological Foundation. In: Marx Gomez, J., Sonnenschein, M., Vogel, U., Winter, A., Rapp, B., Giesen, N. (eds) Advances and New Trends in Environmental and Energy Informatics. Progress in IS. Springer, Cham. https://doi.org/10.1007/978-3-319-23455-7_3
Download citation
DOI: https://doi.org/10.1007/978-3-319-23455-7_3
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-23454-0
Online ISBN: 978-3-319-23455-7
eBook Packages: Business and ManagementBusiness and Management (R0)