DocumentCode
2861840
Title
Optimizing Migration of Virtual Machines across Data-Centers
Author
Bose, Sumit Kumar ; Sundarrajan, Srikanth
Author_Institution
Software Eng. & Technol. Labs., Infosys Technol. Ltd., Bangalore, India
fYear
2009
fDate
22-25 Sept. 2009
Firstpage
306
Lastpage
313
Abstract
Managing virtual machines (VM) in large scale enterprise grid scenarios, commonly encountered in data centers, is extremely challenging. Currently, live VM migration is based on QoS non-conformance events; migration of a VM is initiated as soon as the aggregate resource (CPU and memory) requirements of the VMs on the physical machine (PM) exceed the capacity available on the PM. However, this paper establishes that, such `event-based´ migration can be extremely myopic. To overcome the limitations posed by the `event-based´ VM migration, this paper, proposes a new migration strategy based on `time-windows´. The paper outlines a mixed integer linear programming (MILP) model and a heuristic solution for generating near-optimal rearrangements of the VMs on the PMs. The paper evaluates the solutions on various VM scenarios which show encouraging results.
Keywords
computer centres; dynamic programming; grid computing; heuristic programming; linear programming; quality of service; virtual machines; CPU memory; QoS non conformance events; data centers; event based migration; heuristic solution; large scale enterprise grid scenarios; mixed integer linear programming; near optimal rearrangements; optimizing migration; physical machine; virtual machines; Application virtualization; Monitoring; Parallel processing; Platform virtualization; Quality of service; Resource management; Software engineering; Virtual machining; Virtual manufacturing; Voice mail; Constraint Propagation; Data-Center; Enterprise Grid Computing; Optimization; Virtualization;
fLanguage
English
Publisher
ieee
Conference_Titel
Parallel Processing Workshops, 2009. ICPPW '09. International Conference on
Conference_Location
Vienna
ISSN
1530-2016
Print_ISBN
978-1-4244-4923-1
Electronic_ISBN
1530-2016
Type
conf
DOI
10.1109/ICPPW.2009.39
Filename
5366093
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