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An Assessment Model to Establish the Use of Services Resources in a Cloud Computing Scenario

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High Performance Vision Intelligence

Part of the book series: Studies in Computational Intelligence ((SCI,volume 913))

Abstract

When a system or application is designed to run on the Cloud, the scope on storage, users, infrastructure needs, are set by the use, based on the practical environment. It is necessary to replace practices based on experiences and take into account the measurement practices offered by Quality of Service. The main goal of this chapter is to present an assessment model of the availability and efficiency of the existing applications in Cloud Computing to establish their priority of use through statistical simulation and graph models. This requires an analysis of the concerns of the applications available in the Cloud Services. This model is projected as a guide that provides predictive parameters for its evaluation and availability based on the operation of applications from the point of view of user. To create this model, it is necessary to take into account an analysis of the potential risks during the execution of the application and the data analysis query provided to users, in order to efficiently manage resources in an organization.

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References

  1. S. Mathur, Moving to cloud computing can be smart decision for governments & companies. The Economic Times 7, 18 (2013)

    Google Scholar 

  2. M. Armbrust, A. Fox, R. Griffith, A.D. Joseph, R.H. Katz, A. Konwinski, G. Lee, D.A. Patterson, A. Rabkin, I. Stoica, M. Zaharia, Above the clouds: a Berkeley view of cloud computing. Technical Report UCB/EECS-2009-28 (EECS Department, University of California at Berkeley, 2009)

    Google Scholar 

  3. H. Li, C. Spence, R. Armstrong, R. Godfrey, R. Schneider, J. Smith, R. White, Intel cloud computing taxonomy and ecosystem analysis. IT-Intel Brief (Cloud Computing) (2010)

    Google Scholar 

  4. T.H. Oh, S. Lim, Y.B. Choi, K.R. Park, H. Lee, H. Choi, State of the art of network security perspectives in cloud computing, in Security enriched urban computing and smart grid, ed. by T. Kim, A. Stoica, R.S. Chang. Communications in computer and information science, vol. 78 (Springer, Berlin, 2010), pp. 629–637

    Google Scholar 

  5. Wang, L., von Laszewski, G., Younge, A. et al. Cloud computing:a perspective study. New Gener. Comput. (2010) 28: 137. https://doi.org/10.1007/s00354-008-0081-5

  6. Q. Zhang, L. Cheng, R. Boutaba, Cloud computing: state-of-the-art and research chal-lenges. J. Internet Serv. Appl. 1(1), 7–18 (2010)

    Article  Google Scholar 

  7. National Institute of Standards and Technology, The NIST Definition of Cloud Computing, http://www.nist.gov/itl/cloud/upload/cloud-def-v15.pdf

  8. V. Oliver, A. Ingo, C. Arif, K. Timo Software Architecture (Springer Nature, New York, 2011)

    Google Scholar 

  9. https://aws.amazon.com/es/lightsail/

  10. A. Benhumea-Pena, L. Davila-Nicanor et al., Predictive model to determine quality of service on cloud computing: service dependence graph SDG, in 13th IEEE International Conference on Networking, Sensing and Control (ICNSC’2016), Mexico City, Mexico (2016)

    Google Scholar 

  11. L. Davila, H. Orozco, Modelo de analisis para evaluar la respuesta del servicio en el diseno de las Arquitecturas de las Tecnologias de la Informacion. Coloquio de Investigacion Multidisciplinaria 2(1), 12 (2014)

    Google Scholar 

  12. A. Tchernykh, S. Uwe, A. Vassil, T. El-ghazail, Towards understanding uncertainty in cloud computing resource provisioning. Procedia Comput. Sci. (2015)

    Google Scholar 

  13. J.D. Musa, Software Reliability Engineering: More Reliable Software Faster and Cheaper, 2nd edn. (AuthorHouse, Bloomington, 2004)

    Google Scholar 

  14. R. Clark, A. Moreira, Constructing formal specifications from informal requirements, in Software Technology and Engineering Practice (IEEE Computer Society Press, 1997), pp. 68–75

    Google Scholar 

  15. D. Luckham et al., A language and toolset for simulation of distributed systems by partial orderings of events. Technical Report CSL-TR-96-705 (Stanford University, 1996)

    Google Scholar 

  16. R. Buyya, M. Murshed, GridSim: a toolkit for the modeling and simulation of distributed resource management and scheduling for Grid computing. Concurr. Comput. Pract. Exp. 14(13–15), 1175–1220 (2002)

    Google Scholar 

  17. R.N. Calheiros, R. Ranjan, A. Beloglazov, C.A.F. De Rose, R. Buyya, CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms. Softw. Pract. Exp. 41(1), 23–50 (2011)

    Google Scholar 

  18. A. Nunez, J.L. Vazquez-Poletti, A.C. Caminero, G.G. Castane, J. Carretero, I.M. Llorente, iCanCloud: a flexible and scalable cloud infrastructure simulator. J. Grid Comput. 10(6), 185–209 (2012)

    Google Scholar 

  19. S.K. Garg, R. Buyya, Network CloudSim: modelling parallel applications in cloud simulations, in 2011 4th IEEE International Conference on Utility and Cloud Computing (IEEE, 2011), pp. 105–113

    Google Scholar 

  20. T. Guerout, T. Monteil, G. Da Costa, R. Calheiros, R. Buyya, M. Alexandru, Energy-aware simulation with DVFS. Simul. Model. Pract. Theory 39(2013), 76–91 (2013)

    Article  Google Scholar 

  21. D. Kliazovich, P. Bouvry, S.U. Khan, GreenCloud: a packet-level simulator of energy-aware cloud computing data centers. J. Supercomput. 62(3), 1263–1283 (2012)

    Google Scholar 

  22. W.A. Higashino, C. Eichler, M.A.M. Capretz, T. Monteil, M.B.F. De Toledo, P. Stolf, Query analyzer and manager for complex event processing as a service, in 2014 IEEE 23rd International WETICE Conference (2014), pp. 107–109

    Google Scholar 

  23. D.J. Abadi, D. Carney, U. Cetintemel, M. Cherniack, C. Convey, S. Lee, M. Stonebraker, N. Tatbul, S. Zdonik, Aurora: a new model and architecture for data stream management. VLDB J. 12(2), 120–139 (2003)

    Article  Google Scholar 

  24. V. Gulisano, R. Jimenez-Peris, M. Patino-Martinez, C. Soriente, P. Valduriez, StreamCloud: an elastic and scalable data streaming system. IEEE Trans. Parallel Distrib. Syst. 23(12), 2351–2365 (2012)

    Article  Google Scholar 

  25. Storm, distributed and fault-tolerant realtime computation. http://storm-project.net/

  26. L. Neumeyer, B. Robbins, A. Nair, A. Kesari, S4: distributed stream computing platform, in 2010 IEEE International Conference on Data Mining Workshops (IEEE, 2010), pp. 170–177

    Google Scholar 

  27. W.A. Higashino, M.A.M. Capretz, L.F. Bittencourt, CEPSim: a simulator for cloud-based complex event processing, in 2015 IEEE International Congress on Big Data (IEEE, 2015), pp. 182–190

    Google Scholar 

  28. A. Wilson, W.A. Higashino, A.M. Miriam, A. Capretz, F. Luiz, B. Bittencourt, CEPSim: modelling and simulation of complex event processing systems in cloud environments. Futur. Gener. Comput. Syst. 65, 122–139 (2016)

    Google Scholar 

  29. W.D. Kelton, A.M. Law, Simulation Modeling and Analysis (McGraw Hill, New York, 2000)

    Google Scholar 

  30. S. Basu, Cloud augmentation, in Real World Windows 8 Development (Apress (Springer), Berkeley, 2013)

    Google Scholar 

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Acknowledgements

This work was supported by the Quality on Software and High Performance Computer Laboratories of University Center UAEM Valley of Mexico of the Autonomous University of Mexico State.

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Authors and Affiliations

  1. University Center UAEM Valley of Mexico, Autonomous University of Mexico State, Boulevard University, Predio San Javier, Atizapan de Zaragoza, Mexico State, Mexico

    L. Davila Nicanor, H. R. Orozco Aguirre & V. M. Landassuri Moreno

Authors
  1. L. Davila Nicanor
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  2. H. R. Orozco Aguirre
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  3. V. M. Landassuri Moreno
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Correspondence to L. Davila Nicanor .

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Editors and Affiliations

  1. Jaypee Institute of Information Technology, Noida, India

    Aparajita Nanda

  2. Jaypee Institute of Information Technology, Noida, India

    Nisha Chaurasia

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Davila Nicanor, L., Orozco Aguirre, H.R., Landassuri Moreno, V.M. (2020). An Assessment Model to Establish the Use of Services Resources in a Cloud Computing Scenario. In: Nanda, A., Chaurasia, N. (eds) High Performance Vision Intelligence. Studies in Computational Intelligence, vol 913. Springer, Singapore. https://doi.org/10.1007/978-981-15-6844-2_7

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  • DOI: https://doi.org/10.1007/978-981-15-6844-2_7

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-6843-5

  • Online ISBN: 978-981-15-6844-2

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