An efficient energy aware virtual network migration based on genetic algorithm

Peng XU, Xu LIU, Huafeng CAO, Zhongbao ZHANG

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PDF(240 KB)
Front. Comput. Sci. ›› 2019, Vol. 13 ›› Issue (2) : 440-442. DOI: 10.1007/s11704-019-8084-6
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An efficient energy aware virtual network migration based on genetic algorithm

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Peng XU, Xu LIU, Huafeng CAO, Zhongbao ZHANG. An efficient energy aware virtual network migration based on genetic algorithm. Front. Comput. Sci., 2019, 13(2): 440‒442 https://doi.org/10.1007/s11704-019-8084-6

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
CrossRef 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
CrossRef 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
[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
CrossRef 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
CrossRef Google scholar

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