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European Conference on Parallel Processing

Euro-Par 2011: Euro-Par 2011: Parallel Processing Workshops pp 426–435Cite as

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An Economic Approach for Application QoS Management in Clouds

An Economic Approach for Application QoS Management in Clouds

  • Stefania Costache30,31,
  • Nikos Parlavantzas31,32,
  • Christine Morin31 &
  • …
  • Samuel Kortas30 
  • Conference paper
  • 1094 Accesses

  • 3 Citations

Part of the Lecture Notes in Computer Science book series (LNTCS,volume 7156)

Abstract

Virtualization provides increased control and flexibility in how resources are allocated to applications. However, common resource provisioning mechanisms do not fully use these advantages; either they provide limited support for applications demanding quality of service, or the resource allocation complexity is high. To address this problem we propose a novel resource management architecture for virtualized infrastructures based on a virtual economy. By limiting the coupling between the applications and the resource management, this architecture can support diverse types of applications and performance goals while ensuring an efficient resource usage. We validate its use through simple policies that scale the resource allocations of the applications vertically and horizontally to meet application performance goals.

Keywords

  • Virtual Machine
  • Performance Goal
  • Cloud Infrastructure
  • Schedule Period
  • Resource Management System

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. Barham, P., Dragovic, B., Fraser, K., Hand, S., Harris, T., Ho, A., Neugebauer, R., Pratt, I., Warfield, A.: Xen and the art of virtualization. In: Proceedings of the Nineteenth ACM Symposium on Operating Systems Principles (SOSP 2003), pp. 164–177. ACM Press, New York (2003)

    CrossRef  Google Scholar 

  2. Calheiros, R.N., Ranjan, R., Beloglazov, A., De Rose, C.A.F., 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)

    CrossRef  Google Scholar 

  3. Carrera, D., Steinder, M., Whalley, I., Torres, J., Ayguade, E.: Utility-based placement of dynamic web applications with fairness goals. In: IEEE Network Operations and Management Symposium, pp. 9–16 (2008)

    Google Scholar 

  4. Chun, B.N., Culler, D.E.: REXEC: A Decentralized, Secure Remote Execution Environment for Clusters. In: Falsafi, B., Lauria, M. (eds.) CANPC 2000. LNCS, vol. 1797, pp. 1–14. Springer, Heidelberg (2000)

    CrossRef  Google Scholar 

  5. Lai, K., Rasmusson, L., Adar, E., Zhang, L., Huberman, B.: Tycoon: An implementation of a distributed, market-based resource allocation system. Multiagent and Grid Systems 1(3), 169–182 (2005)

    MATH  Google Scholar 

  6. Nguyen Van, H., Dang Tran, F., Menaud, J.-M.: SLA-aware virtual resource management for cloud infrastructures. In: 9th IEEE International Conference on Computer and Information Technology (CIT 2009), pp. 1–8 (2009)

    Google Scholar 

  7. Norris, J., Coleman, K., Fox, A., Candea, G.: Oncall: Defeating spikes with a free-market application cluster. In: Proceedings of the First International Conference on Autonomic Computing (2004)

    Google Scholar 

  8. Sandholm, T., Lai, K.: Dynamic Proportional Share Scheduling in Hadoop. In: Frachtenberg, E., Schwiegelshohn, U. (eds.) JSSPP 2010. LNCS, vol. 6253, pp. 110–131. Springer, Heidelberg (2010)

    CrossRef  Google Scholar 

  9. Sotomayor, B., Montero, R., Llorente, I., Foster, I.: An Open Source Solution for Virtual Infrastructure Management in Private and Hybrid Clouds. IEEE Internet Computing 13(5), 14–22 (2009)

    CrossRef  Google Scholar 

  10. Stratford, N., Mortier, R.: An economic approach to adaptive resource management. In: Proceedings of the The Seventh Workshop on Hot Topics in Operating Systems, HOTOS 1999. IEEE Computer Society (1999)

    Google Scholar 

  11. Tesauro, G., Kephart, J.O., Das, R.: Utility functions in autonomic systems. In: ICAC 2004: Proceedings of the First International Conference on Autonomic Computing, pp. 70–77. IEEE Computer Society (2004)

    Google Scholar 

  12. Yeo, C.S., Buyya, R.: A taxonomy of market-based resource management systems for utility-driven cluster computing. Softw. Pract. Exper. 36, 1381–1419 (2006)

    CrossRef  Google Scholar 

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Author information

Authors and Affiliations

  1. EDF R&D, France

    Stefania Costache & Samuel Kortas

  2. INRIA Centre Rennes - Bretagne Atlantique, France

    Stefania Costache, Nikos Parlavantzas & Christine Morin

  3. INSA Rennes, France

    Nikos Parlavantzas

Authors
  1. Stefania Costache
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  2. Nikos Parlavantzas
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  3. Christine Morin
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  4. Samuel Kortas
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Editor information

Editors and Affiliations

  1. Scilytics, Koellnerhofgasse 3/15A, 1010, Vienna, Austria

    Michael Alexander

  2. ICAR-CNR, Via P. Castellino, 111, 80131, Napoli, Italy

    Pasqua D’Ambra

  3. University of Amsterdam, 1090, Amsterdam, Netherlands

    Adam Belloum

  4. Innovative Computing Laboratory, The University of Tennessee, US

    George Bosilca

  5. Department of Experimental Medicine and Clinic, University Magna Græcia, 88100, Catanzaro, Italy

    Mario Cannataro

  6. Computer Science Department, University of Pisa, Italy

    Marco Danelutto

  7. Second University of Naples, Italy

    Beniamino Di Martino

  8. TUMünchen,, Boltzmannstr. 3, ,, 85748, Garching, Germany

    Michael Gerndt

  9. Equipe Runtime, INRIA Bordeaux Sud-Ouest, 33405, Talence Cedex, France

    Emmanuel Jeannot & Raymond Namyst & 

  10. Equipe HIEPACS, INRIA Bordeaux Sud-Ouest, 33405, Talence Cedex, France

    Jean Roman

  11. Computer Science and Mathematics Division, Oak Ridge National Laboratory, 37831-6164, Oak Ridge, TN, USA

    Stephen L. Scott

  12. Department of Scientific Computing, University of Vienna, Nordbergstr. 15/3C, 1090, Vienna, Austria

    Jesper Larsson Traff

  13. Computer Science and Mathematics Division, Oak Ridge National Laboratory, 37831, Oak Ridge, TN, USA

    Geoffroy Vallée

  14. Technische Universität München, Germany

    Josef Weidendorfer

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© 2012 Springer-Verlag Berlin Heidelberg

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Cite this paper

Costache, S., Parlavantzas, N., Morin, C., Kortas, S. (2012). An Economic Approach for Application QoS Management in Clouds. In: Alexander, M., et al. Euro-Par 2011: Parallel Processing Workshops. Euro-Par 2011. Lecture Notes in Computer Science, vol 7156. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29740-3_48

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  • DOI: https://doi.org/10.1007/978-3-642-29740-3_48

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29739-7

  • Online ISBN: 978-3-642-29740-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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