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Approaches to Improve the Resources Management in the Simulator CloudSim

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6377))

Abstract

In Cloud Computing, service availability and performance are two significant aspects to be dealt with. These two aspects can deteriorate or even stopping the services of Cloud Computing, if they are not taken into account. Users see that cloud computing delivers elastic computing services to users on the basis of their needs. This paper aims at improving operation of service of the Cloud Computing environment. Cloud service must be available some is the situations and powerful being by a response time reduced at a user’s request. To meet this aim, we propose, in this paper, two approaches which aim at returning a better availability of Datacenters without deteriorating the performances for the answers of the users. The first uses the principle of the messages of availability and the second uses the principle of reservation in advance.

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References

  1. Buyya, R.: High Performance Cluster Computing: Architectures and Systems, vol. 1. Prentice Hall, Upper Saddle River (1999)

    Google Scholar 

  2. Buyya, R., Murshed, M.: GridSim: A Toolkit for the Modeling and Simulation of Distributed Resource Management and Scheduling for Grid Computing. The Journal of Concurrency and Computation: Practice and Experience (CCPE) 14(13-15) (2002)

    Google Scholar 

  3. Buyya, R., Yeo, C.S., Venugopal, S., Broberg, J., Brandic, I.: Cloud Computing and Emerging IT Platforms: Vision, Hype, and Reality for Delivering Computing as the 5th Utility, Technical Report, GRIDS-TR-2008-14, Grid Computing and Distributed Systems Laboratory, The University of Melbourne, Australia (2008)

    Google Scholar 

  4. Buyya, R., Ranjan, R., Calheiros, R.N.: Modeling and Simulation of Scalable Cloud Computing Environments and the CloudSim Toolkit: Challenges and Opportunities, Keynote Paper. In: Proceedings of the 7th High Performance Computing and Simulation (HPCS 2009) Conference, Leipzig, Germany (2009)

    Google Scholar 

  5. Calheiros, R.N., Ranjan, R., De Rose, C.A.F., Buyya, R.: CloudSim: A Novel Framework for Modeling and Simulation of Cloud Computing Infrastructures and Services, Technical Report, GRIDS-TR-2009-1, Grid Computing and Distributed Systems Laboratory, The University of Melbourne, Australia (2009)

    Google Scholar 

  6. Chu, X., Nadiminti, K., Jin, C., Venugopal, S., Buyya, R.: Aneka: Next-Generation Enterprise Grid Platform for e-Science and e-Business Applications. In: Proceedings of the 3th IEEE International Conference on e-Science and Grid Computing (e-Science 2007), Bangalore, India (2007)

    Google Scholar 

  7. Dumitrescu, C.L., Foster, I.: GangSim: a simulator for grid scheduling studies. In: Proceedings of the IEEE International Symposium on Cluster Computing and the Grid (2005)

    Google Scholar 

  8. Foster, I., Kesselman, C., Tuecke, S.: The anatomy of the grid: Enabling Scable Virtuel Organizations. International Journal of Super Computer Applications 15(3), 1–10 (2001)

    Google Scholar 

  9. Howell, F., Mcnab, R.: SimJava: A discrete event simulation library for java. In: Proceedings of the first International Conference on Web-Based Modeling and Simulation (1998)

    Google Scholar 

  10. Legrand, A., Marchal, L., Casanova, H.: Scheduling distributed applications: the SimGrid simulation framework. In: Proceedings of the 3rd IEEE/ACM International Symposium on Cluster Computing and the Grid (2003)

    Google Scholar 

  11. Pandey, S., Dobson, J.E., Voorsluys, W., Vecchiola, C., Karunamoorthy, D., Chu, X., Buyya, R.: Workflow Engine: fMRI Brain Image Analysis on Amazon EC2 and S3 Clouds. In: The Second IEEE International Scalable Computing Challenge (SCALE 2009) in Conjunction with CCGrid 2009, Shanghai, China (2009)

    Google Scholar 

  12. Vecchiola, C., Chu, X., Buyya, R.: Aneka: A Software Platform for.NET-based Cloud Computing. In: Gentzsch, W., Grandinetti, L., Joubert, G. (eds.) High Performance & Large Scale Computing, Advances in Parallel Computing. IOS Press, Amsterdam (2009)

    Google Scholar 

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© 2010 Springer-Verlag Berlin Heidelberg

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Belalem, G., Tayeb, F.Z., Zaoui, W. (2010). Approaches to Improve the Resources Management in the Simulator CloudSim. In: Zhu, R., Zhang, Y., Liu, B., Liu, C. (eds) Information Computing and Applications. ICICA 2010. Lecture Notes in Computer Science, vol 6377. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16167-4_25

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  • DOI: https://doi.org/10.1007/978-3-642-16167-4_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-16166-7

  • Online ISBN: 978-3-642-16167-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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