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Service-Oriented Computing - ICSOC 2014 Workshops pp 250–255Cite as

A Non-Parametric Data Envelopment Analysis Approach for Cloud Services Evaluation

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Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 8954))

Abstract

Due to advantages of cloud computing, services are increasingly deployed in cloud. It is a challenge to choose a proper service. Besides QoS requirements, customers expect more efficient services which provide better performance but with minimum cost. In this paper, we propose a non-parametric method to evaluate relative efficiency of cloud services based on Data Envelopment Analysis. It can classify cloud services into different efficiency levels and tell how to improve less efficient services. We illustrate the method with a case study.

Supported by the West Light Foundation of Chinese Academy of Sciences (Project No. XBBS201319).

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References

  1. Iaas cost snapshot, 29 May 2014. https://docs.google.com/spreadsheet/fm?id=t9fsKqXYKmIQ6LFvmVkHTCQ.04776183464924915040.7277648387216344348&fmcmd=420

  2. Banker, R.D., Charnes, A., Cooper, W.W.: Some models for estimating technical and scale inefficiencies in data envelopment analysis. Manag. Sci. 30(9), 1078–1092 (1984)

    Article  MATH  Google Scholar 

  3. Brebner, P., Liu, A.: Performance and cost assessment of cloud services. In: Maximilien, E.M., Rossi, G., Yuan, S.-T., Ludwig, H., Fantinato, M. (eds.) ICSOC 2010. LNCS, vol. 6568, pp. 39–50. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  4. Charnes, A., Cooper, W.W., Rhodes, E.: Measuring the efficiency of decision making units. Eur. J. Oper. Res. 2(6), 429–444 (1978)

    Article  MathSciNet  MATH  Google Scholar 

  5. Consortium, C.S.M.I.: Service measurement index framework version 2.0 (2014). http://csmic.org/wp-content/uploads/2014/01/SMI_Overview_140113.pdf

  6. Garg, S.K., Versteeg, S., Buyya, R.: A framework for ranking of cloud computing services. Future Gener. Comput. Syst. 29(4), 1012–1023 (2013)

    Article  Google Scholar 

  7. Goldman, A., Ngoko, Y.: On graph reduction for qos prediction of very large web service compositions. In: 2012 IEEE Ninth International Conference on Services Computing (SCC), pp. 258–265 (2012)

    Google Scholar 

  8. Huang, K., Yao, J., Fan, Y., Tan, W., Nepal, S., Ni, Y., Chen, S.: Mirror, mirror, on the web, which is the most reputable service of them all? In: Basu, S., Pautasso, C., Zhang, L., Fu, X. (eds.) ICSOC 2013. LNCS, vol. 8274, pp. 343–357. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  9. Li, A., Yang, X., Kandula, S., Zhang, M.: Cloudcmp: comparing public cloud providers. In: Proceedings of the 10th Annual Conference on Internet Measurement, pp. 1–14 (2010)

    Google Scholar 

  10. Parhizkar, B., Abdulhussein, A.A., Joshi, J.H., Twinamatsiko, A.M.: A comman factors analysis on cloud computing models. Int. J. Comput. Sci. Issues 10(2), 523–529 (2013)

    Google Scholar 

  11. Park, J., Jeong, H.Y.: The QoS-based MCDM system for SaaS ERP applications with social network. J. Supercomput. 66(2), 614–632 (2012)

    Article  Google Scholar 

  12. Tone, K.: A slacks-based measure of efficiency in data envelopment analysis. Eur. J. Oper. Res. 130(3), 498–509 (2001)

    Article  MathSciNet  MATH  Google Scholar 

  13. Whaiduzzaman, M., Gani, A., Anuar, N.B., Shiraz, M., Haque, M.N., Haque, I.T.: Cloud service selection using multicriteria decision analysis. Sci. World J. 2014, 10 (2014)

    Google Scholar 

  14. Xie, Q., Wu, K., Xu, J., He, P., Chen, M.: Personalized context-aware QoS prediction for web services based on collaborative filtering. In: Cao, L., Zhong, J., Feng, Y. (eds.) ADMA 2010, Part II. LNCS, vol. 6441, pp. 368–375. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  15. Zheng, Z., Wu, X., Zhang, Y.: QoS ranking prediction for cloud services. IEEE Trans. Parallel Distrib. Syst. 24(6), 1213–1222 (2013)

    Article  Google Scholar 

  16. Zheng, Z., Zhang, Y., lyu, M.R.: Cloudrank: a qos-driven component ranking framework for cloud computing (2010)

    Google Scholar 

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Author information

Authors and Affiliations

  1. XinJiang Technical Institute of Physics and Chemistry CAS, Beijing, China

    Chunxiang Xu, Yupeng Ma & Xiaobo Wang

Authors
  1. Chunxiang Xu
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  2. Yupeng Ma
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  3. Xiaobo Wang
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Corresponding author

Correspondence to Yupeng Ma .

Editor information

Editors and Affiliations

  1. Blaise Pascal University, Aubiere, France

    Farouk Toumani

  2. Politecnico di Milano, Milano, Italy

    Barbara Pernici

  3. Université Paris Dauphine, Paris, France

    Daniela Grigori

  4. Université Claude Bernard Lyon 1, Villeurbanne, France

    Djamal Benslimane

  5. Vienna University of Economics, Vienna, Austria

    Jan Mendling

  6. National Engineering School of Tunis, Tunis, Tunisia

    Nejib Ben Hadj-Alouane

  7. University of Miami, Coral Gables, Florida, USA

    Brian Blake

  8. University Lorraine, Nancy, France

    Olivier Perrin

  9. University of Miami, Coral Gables, Florida, USA

    Iman Saleh Moustafa

  10. Telecom SudParis, Evry, France

    Sami Bhiri

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© 2015 Springer International Publishing Switzerland

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Xu, C., Ma, Y., Wang, X. (2015). A Non-Parametric Data Envelopment Analysis Approach for Cloud Services Evaluation. In: Toumani, F., et al. Service-Oriented Computing - ICSOC 2014 Workshops. Lecture Notes in Computer Science(), vol 8954. Springer, Cham. https://doi.org/10.1007/978-3-319-22885-3_22

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  • DOI: https://doi.org/10.1007/978-3-319-22885-3_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-22884-6

  • Online ISBN: 978-3-319-22885-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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