Skip to main content
Log in

An efficient energy aware virtual network migration based on genetic algorithm

  • Letter
  • Published:
Frontiers of Computer Science Aims and scope Submit manuscript

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

References

  1. Chun B G, Iannaccone G, Katz R, Lee G, Niccolini L. An energy case for hybrid datacenters. ACM SIGOPS Operating Systems Review, 2010, 44(1): 76–80

    Article  Google Scholar 

  2. Su S, Zhang Z, Liu A, Cheng X,Wang Y, Zhao X. Energy-aware virtual network embedding. IEEE Transactions on Networking, 2014, 22(5): 1607–1620

    Article  Google Scholar 

  3. Zhani M F, Zhang Q, Simona G, Boutaba R. VDC planner: dynamic migration-aware virtual data center embedding for clouds. In: Proceedings of the 2013 IFIP/IEEE International Symposium on Integrated Network Management. 2013, 18–25

    Google Scholar 

  4. Yu M, Yi Y, Rexford J, Chiang M. Rethinking virtual network embedding: substrate support for path splitting and migration. ACM SIGCOMM Computer Communication Review, 2008, 38(2): 17–29

    Article  Google Scholar 

  5. Zhang Z, Su S, Shuang K, Li W, Zia M A. Energy aware virtual network migration. In: Proceedings of Global Communications Conference. 2016, 1–6

    Google Scholar 

Download references

Acknowledgements

This work was supported in part by the National Natural Science Foundation of China (Grant Nos. 61602050 and U1534201).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Zhongbao Zhang.

Electronic supplementary material

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Xu, P., Liu, X., Cao, H. et al. An efficient energy aware virtual network migration based on genetic algorithm. Front. Comput. Sci. 13, 440–442 (2019). https://doi.org/10.1007/s11704-019-8084-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11704-019-8084-6

Navigation