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Cited by 339

The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.

Consolidating virtual machines with dynamic bandwidth demand in data centers

Wang, Meng, Meng, Xiaoqiao, Zhang, Li·2011·2011 Proceedings IEEE INFOCOM

Abstract

Recent advances in virtualization technology have made it a common practice to consolidate virtual machines(VMs) into a fewer number of servers. An efficient consolidation scheme requires that VMs are packed tightly, yet receive resources commensurate with their demands. However, measurements from production data centers show that the network bandwidth demands of VMs are dynamic, making it difficult to characterize the demands by a fixed value and to apply traditional consolidation schemes. In this work, we formulate the VM consolidation into a Stochastic Bin Packing problem and propose an online packing algorithm by which the number of servers required is within (1+∈)(√2+1) of the optimum for any ∈ >; 0. The result can be improved to within (√2+1) of the optimum in a special case. In addition, we use numerical experiments to evaluate the proposed consolidation algorithm and observe 30% server reduction compared to several benchmark algorithms.

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Metadata

Authors
Wang, M., Meng, X., & Zhang, L.
Venue
2011 Proceedings IEEE INFOCOM
Publisher
IEEE
Published
2011-04
Pages
71-75
OpenAlex
W2110458625
Cited by
339
References
26
FWCI
26.44
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Consolidating virtual machines with dynamic bandwidth demand in data centers. https://app.cochat.ai/papers/10.1109/infcom.2011.5935254
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Wang, M., Meng, X., & Zhang, L. (2011). Consolidating virtual machines with dynamic bandwidth demand in data centers. 2011 Proceedings IEEE INFOCOM. https://doi.org/10.1109/infcom.2011.5935254

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