Cost of Virtual Machine Live Migration in Clouds: A Performance Evaluation

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    Author
    Voorsluys, W; Broberg, J; Venugopal, S; Buyya, R
    Editor
    Jaatun, MG; Zhao, G; Rong, C
    Date
    2009-01-01
    Source Title
    CLOUD COMPUTING, PROCEEDINGS
    Publisher
    SPRINGER-VERLAG BERLIN
    University of Melbourne Author/s
    VOORSLUYS, WILLIAM; BROBERG, JAMES; Buyya, Rajkumar
    Affiliation
    Computer Science and Software Engineering
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    Document Type
    Conference Paper
    Citations
    Voorsluys, W., Broberg, J., Venugopal, S. & Buyya, R. (2009). Cost of Virtual Machine Live Migration in Clouds: A Performance Evaluation. Jaatun, MG (Ed.) Zhao, G (Ed.) Rong, C (Ed.) CLOUD COMPUTING, PROCEEDINGS, 5931, pp.254-+. SPRINGER-VERLAG BERLIN. https://doi.org/10.1007/978-3-642-10665-1_23.
    Access Status
    This item is currently not available from this repository
    URI
    http://hdl.handle.net/11343/30756
    DOI
    10.1007/978-3-642-10665-1_23
    Abstract
    Virtualization has become commonplace in modern data centers, often referred as "computing clouds". The capability of virtual machine live migration brings benefits such as improved performance, manageability and fault tolerance, while allowing workload movement with a short service downtime. However, service levels of applications are likely to be negatively affected during a live migration. For this reason, a better understanding of its effects on system performance is desirable. In this paper, we evaluate the effects of live migration of virtual machines on the performance of applications running inside Xen VMs. Results show that, in most cases, migration overhead is acceptable but cannot be disregarded, especially in systems where availability and responsiveness are governed by strict Service Level Agreements. Despite that, there is a high potential for live migration applicability in data centers serving modernInternet applications. Our results are based on a workload covering the domain of multi-tier Web 2.0 applications.
    Keywords
    Distributed Computing

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