Design and theoretical analysis of virtual machine placement algorithm based on peak workload characteristics

DOI10.1007/S00500-015-1862-7zbMath1425.68046OpenAlexW1817498027MaRDI QIDQ1701633

Wen-Wei Lin, Jin Li, Lingling Xu, SiYao Xu, Zhi-Ping Peng

Publication date: 27 February 2018

Published in: Soft Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00500-015-1862-7

zbMATH Keywords

similaritycloud computingpeak characteristicsplacement of virtual machinetheory proof

Mathematics Subject Classification ID

Performance evaluation, queueing, and scheduling in the context of computer systems (68M20) Distributed systems (68M14)

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Cites Work

• A multi-objective ant colony system algorithm for virtual machine placement in cloud computing
• PAIRWISE ENTANGLEMENT DYNAMICS OF A MULTIPARTITE SYSTEM IN THE TAVIS–CUMMINGS MODEL

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