An energy-efficient black widow-based adaptive VM placement approach for cloud computing
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Software
Link
https://link.springer.com/content/pdf/10.1007/s10586-023-04204-6.pdf
Reference36 articles.
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2. Beloglazov, A., Abawajy, J., Buyya, R.: Energy-aware resource allocation heuristics for efficient management of data centers for cloud computing. Future Gener. Comput. Syst. 28(5), 755–768 (2012). https://doi.org/10.1016/j.future.2011.04.017
3. Verma, A., Ahuja, P., Neogi, A.: pmapper: power and migration cost aware application placement in virtualized systems. In: ACM/IFIP/USENIX International Conference on Distributed Systems Platforms and Open Distributed Processing, pp. 243–264. Springer, New York (2008). https://doi.org/10.1007/978-3-540-89856-6_13
4. Shirvani, M.H., Babaeikiadehi, S.: A hybrid meta-heuristic-based linear regression algorithm for live virtual machine migration in cloud datacenters. In: 2022 International Conference on Electrical, Computer and Energy Technologies (ICECET), pp. 1–5 (2022). https://doi.org/10.1109/ICECET55527.2022.9872935 . IEEE
5. Li, X., Qian, Z., Lu, S., Wu, J.: Energy efficient virtual machine placement algorithm with balanced and improved resource utilization in a data center. Math. Comput. Model. 58(5–6), 1222–1235 (2013). https://doi.org/10.1016/j.mcm.2013.02.003
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