Advertisement

A Model of Cloud Computing Federation Based on Complex Network Theory

  • Zhenli HeEmail author
  • Hua Zhou
  • Yin Zhang
  • Junhui Liu
  • Lei Su
Conference paper
  • 1.3k Downloads
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 142)

Abstract

With the development of cloud computing technology, it is necessary to integrate multiple cloud computing service providers. Cloud computing federation is a kind of cloud model which integrates multiple cloud computing service providers, provides the cooperation between them and mutual operation mechanism, improves the service quality and implements the corresponding strategy. It has become one of hot research topics at present. The paper summarizes the demand at first and discusses the significance of cloud computing federation. Secondly, we introduce the related research in this field, pointing out the problems existed in the current study. Then, the paper puts forward a cloud computing federation model based on the theory of complex network, at the same time supporting vertical scaling and horizontal extension according to the study, what’s more, the strategies of node join and leave are put forward. Finally, on the basis of above, the paper has carried out the qualitative analysis for the model.

Keywords

Cloud computing Cloud computing federation Complex network theory modeling Integrate 

Notes

Acknowledgements

This work was supported by the National Natural Science Foundation of China (No.61365010). This work was also supported in part by China National Natural Science Foundation under Grants 61300224, the International Science and Technology Collaboration Program (2014DFT10070) funded by China Ministry of Science and Technology (MOST), Hubei Provincial Key Project under grant 2013CFA051.

References

  1. 1.
    Chen, M., et al.: Big Data: Related Technologies, Challenges and Future Prospects. SpringerBriefs in Computer. Springer, Heidelberg (2014)CrossRefGoogle Scholar
  2. 2.
    Dillon, T., Wu, C., Chang, E.: Cloud computing: issues and challenges. In: 2010 24th IEEE International Conference on Advanced Information Networking and Applications (AINA), pp. 27–33. IEEE (2010)Google Scholar
  3. 3.
    Cowan, R.: Tortoises and hares: choice among technologies of unknown merit. Econ. J. 101, 801–814 (1991)CrossRefGoogle Scholar
  4. 4.
    Buyya, R., et al.: Economic models for resource management and scheduling in grid computing. Concurrency Comput. Pract. Experience 14(13–15), 1507–1542 (2002)CrossRefzbMATHGoogle Scholar
  5. 5.
    Summary of the Amazon EC2 and Amazon RDS Service Disruption. http://aws.amazon.com/message/65648
  6. 6.
  7. 7.
    Metsch, T.: Open Cloud Computing Interface-Use cases and requirements for a Cloud API. Open Grid Forum (2009)Google Scholar
  8. 8.
    Sultan, N.: Cloud computing for education: a new dawn? Int. J. Inf. Manage. 30(2), 109–116 (2010)CrossRefGoogle Scholar
  9. 9.
    Grozev, N., Buyya, R.: Inter-cloud architectures and application brokering: taxonomy and survey. Softw. Pract. Experience 44(3), 369–390 (2012)CrossRefGoogle Scholar
  10. 10.
    Mell, P., Grance, T.: The NIST definition of cloud computing. National Institute of Standards and Technology 53(6), 50 (2009)Google Scholar
  11. 11.
    Sakashita, Y., et al.: Cloud fusion concept. FUJITSU Sci. Tech. J. 48(2), 143–150 (2012)Google Scholar
  12. 12.
    Kurze, T., et al.: Cloud federation. In: The Second International Conference on Cloud Computing. GRIDs, and Virtualization (2011)Google Scholar
  13. 13.
    Goiri, I., Guitart, J., Torres, J.: Characterizing cloud federation for enhancing providers’ profit. In: 2010 IEEE 3rd International Conference on Cloud Computing (CLOUD), IEEE (2010)Google Scholar
  14. 14.
    Rochwerger, B., et al.: The reservoir model and architecture for open federated cloud computing. IBM J. Res. Dev. 53(4), 1–4 (2009)CrossRefGoogle Scholar
  15. 15.
    Buyya, R., Ranjan, R., Calheiros, R.N.: Intercloud: utility-oriented federation of cloud computing environments for scaling of application services. In: Hsu, C.-H., Yang, L.T., Park, J.H., Yeo, S.-S. (eds.) ICA3PP 2010, Part I. LNCS, vol. 6081, pp. 13–31. Springer, Heidelberg (2010) CrossRefGoogle Scholar
  16. 16.
    Wang, X.F., Li, X., Chen, G.R.: Complex Network Theory and Application. Tsinghua University licensing agency, Beijing (2006) Google Scholar

Copyright information

© Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2015

Authors and Affiliations

  • Zhenli He
    • 1
    Email author
  • Hua Zhou
    • 1
  • Yin Zhang
    • 2
  • Junhui Liu
    • 1
  • Lei Su
    • 3
  1. 1.School of SoftwareYunnan UniversityKunmingChina
  2. 2.Embedded and Pervasive Computing Lab, School of Computer Science and TechnologyHuazhong University of Science and TechnologyWuhanChina
  3. 3.School of Information Engineering and AutomationKunming University of Science and TechnologyKunmingChina

Personalised recommendations