Optimizing virtual machine placement for energy and SLA in clouds using utility functions
Author:
Funder
Ministry of Higher Education, Egypt
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Software
Link
http://link.springer.com/content/pdf/10.1186/s13677-016-0067-7.pdf
Reference37 articles.
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2. Beloglazov A, Abawajy JH, Buyya R (2012) Energy-aware resource allocation heuristics for efficient management of data centers for cloud computing. Futur Gener Comput Syst 28(5): 755–768. doi: http://dx.doi.org/10.1016/j.future.2011.04.017 .
3. Beloglazov A, Buyya R (2012) Optimal online deterministic algorithms and adaptive heuristics for energy and performance efficient dynamic consolidation of virtual machines in cloud data centers. Concurr Comput Pract Experience 24(13): 1397–1420. doi: http://dx.doi.org/10.1002/cpe.1867 .
4. Beloglazov A, Buyya R (2013) Managing overloaded hosts for dynamic consolidation of virtual machines in cloud data centers under quality of service constraints. IEEE Trans Parallel Distrib Syst 24(7): 1366–1379. doi: http://dx.doi.org/10.1109/TPDS.2012.240 .
5. Walsh WE, Tesauro G, Kephart JO, Das R (2004) Utility functions in autonomic systems In: Autonomic Computing, 2004. Proceedings. International Conference On, 70–77.. IEEE.
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