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The Journal of Supercomputing
Erschienen in: The Journal of Supercomputing 9/2020

18.01.2020

Bandwidth allocation for communicating virtual machines in cloud data centers

verfasst von: Kamalesh Karmakar, Rajib K. Das, Sunirmal Khatua

Erschienen in: The Journal of Supercomputing | Ausgabe 9/2020

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Abstract

High-performance computing in a cloud environment may require massive data transfer among some of the virtual machines (VMs). These VMs are deployed in physical machines (hosts) of a data center. The data transfer among the communicating VMs may use the same shared communication links of the data center. Hence, it is important to have efficient bandwidth allocation policies for different data transfer requests (DTRs) which result in better utilization of bandwidth and fair allocation among the DTRs. In this paper, a few bandwidth allocation policies are proposed and their performances are analyzed. While designing these policies, the objective is the maximization of throughput and bandwidth utilization while minimizing the service time and turnaround time. Some of the policies are based on integer linear programming (ILP) which runs in exponential time while others are based on polynomial-time heuristics. Experimental results show that the performances of heuristic-based policies are comparable to those given by ILP-based exponential time policies.
Vorheriger Artikel A decision tree framework for shot classification of field sports videos
Nächster Artikel A low-power task scheduling algorithm for heterogeneous cloud computing

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Metadaten
Titel
Bandwidth allocation for communicating virtual machines in cloud data centers
verfasst von
Kamalesh Karmakar
Rajib K. Das
Sunirmal Khatua
Publikationsdatum
18.01.2020
Verlag
Springer US
Erschienen in
The Journal of Supercomputing / Ausgabe 9/2020
Print ISSN: 0920-8542
Elektronische ISSN: 1573-0484
DOI
https://doi.org/10.1007/s11227-019-03128-6

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