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Cited by 808

The DOI matches its Crossref record.

Dynamic Placement of Virtual Machines for Managing SLA Violations

Bobroff, Norman, Kochut, Andrzej, Beaty, Kirk·2007·2007 10th IFIP/IEEE International Symposium on Integrated Network Management
DOI 10.1109/inm.2007.374776
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Abstract

A dynamic server migration and consolidation algorithm is introduced. The algorithm is shown to provide substantial improvement over static server consolidation in reducing the amount of required capacity and the rate of service level agreement violations. Benefits accrue for workloads that are variable and can be forecast over intervals shorter than the time scale of demand variability. The management algorithm reduces the amount of physical capacity required to support a specified rate of SLA violations for a given workload by as much as 50% as compared to static consolidation approach. Another result is that the rate of SLA violations at fixed capacity may be reduced by up to 20%. The results are based on hundreds of production workload traces across a variety of operating systems, applications, and industries.

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Metadata

Authors
Bobroff, N., Kochut, A., & Beaty, K.
Venue
2007 10th IFIP/IEEE International Symposium on Integrated Network Management
Publisher
IEEE
Published
2007-05
Pages
119-128
DOI
10.1109/inm.2007.374776
OpenAlex
W2160756722
Cited by
808
References
0
FWCI
16.48
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Dynamic Placement of Virtual Machines for Managing SLA Violations. https://app.cochat.ai/papers/10.1109/inm.2007.374776
The paper
Bobroff, N., Kochut, A., & Beaty, K. (2007). Dynamic Placement of Virtual Machines for Managing SLA Violations. 2007 10th IFIP/IEEE International Symposium on Integrated Network Management. https://doi.org/10.1109/inm.2007.374776

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.