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Energy Efficiency for Software and Services on the Cloud

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High Performance Architecture and Grid Computing (HPAGC 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 169))

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Abstract

The market for cloud computing services has continued to expand despite a general decline in economic activity in most of the world. Cloud computing is computation, software, data access, and storage services that do not require end-user knowledge of the physical location and configuration of the system that delivers the services.

This Paper provides an in-depth analysis of the energy efficiency benefits of cloud computing, including an assessment of the software as a service (SaaS), platform as a service (PaaS), and infrastructure as a service (IaaS) markets. It also highlights the key demand drivers and technical developments related to cloud computing, in addition to detailed quantification of energy savings and GHG reduction opportunities under a cloud computing adoption scenario, with a forecast period extending through 2020.

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References

  1. Pamlin, D.: The Potential Global CO2 Reductions from ICT Use: Identifying and Assessing the Opportunities to Reduce the First Billion Tonnes of CO2, WWF, Sweden (May 2008)

    Google Scholar 

  2. Accenture, Data Centre Energy Forecast Report. Final Report, Silicon Valley Leadership Group (July 2008)

    Google Scholar 

  3. Hewitt, C.: ORGs for scalable, robust, privacy-friendly client cloud computing. IEEE Internet Comput., 96–99 (September 2008)

    Google Scholar 

  4. Changjiu, X., Yung-Hsiang, L., Zhiyuan, L.: Energy- Aware Scheduling for Real-Time Multiprocessor Systems with Uncertain Task Execution Time. In: Proc. 44th Annual Conf. Design Automation, pp. 664–669. ACM, San Diego (2007)

    Google Scholar 

  5. Merkel, A., Bellosa, F.: Memory-Aware Scheduling for Energy Efficiency on Multicore Processors. In: Proc. Workshop on Power Aware Computing and Systems (HotPower 2008), San Diego, CA, USA, pp. 123–130 (December 2008) USENIX online

    Google Scholar 

  6. Chunlin, L., Layuan, L.: Utility-based scheduling for grid computing under constraints of energy budget and deadline. Comput. Stand. Interfaces (2008)

    Google Scholar 

  7. Koomey, J.: Server Energy Measurement Protocol. In: Version 1.0. Following Energy Efficiency Server Benchmark Technical Workshop, Santa Clara, CA (2006), http://www.energystar.gov/ia/products/downloads/Finalserverenergyprotocol-v1.pdf (last accessed August 12, 2009)

  8. Berl, A., de Meer, H.: An Energy-Efficient Distributed Office Environment. In: Proc. European Conf. Universal Multiservice Networks (ECUMN 2009). IEEE Computer Society Press, Sliema (2009)

    Google Scholar 

  9. Berl, A., Weidlich, R., Schrank, M., Hlavacs, H., de Meer, H.: Network virtualization in future home environments. In: Bartolini, C., Gaspary, L.P. (eds.) DSOM 2009. LNCS, vol. 5841, pp. 177–190. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

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© 2011 Springer-Verlag Berlin Heidelberg

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Bhati, P., Sharma, P., Sharma, A., Sutaria, J., Hanumanthapa, M. (2011). Energy Efficiency for Software and Services on the Cloud. In: Mantri, A., Nandi, S., Kumar, G., Kumar, S. (eds) High Performance Architecture and Grid Computing. HPAGC 2011. Communications in Computer and Information Science, vol 169. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22577-2_7

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  • DOI: https://doi.org/10.1007/978-3-642-22577-2_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-22576-5

  • Online ISBN: 978-3-642-22577-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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