NDLI: Time-Bound, Thread-Based Live Migration of Virtual Machines

Content Provider	IEEE Xplore Digital Library
Author	Chanchio, K. Thaenkaew, P.
Copyright Year	2014
Description	Author affiliation: Dept. of Comput. Sci., Thammasat Univ., Patumtani, Thailand (Chanchio, K.) \|\| Large Scale Simulation Res., Nat. Electron. & Comput. Technol. Center (NECTEC), Pathumtani, Thailand (Thaenkaew, P.)
Abstract	Live migration of virtual machines is the ability to move running virtual machines between two computers with minimal downtime. Although various migration mechanisms such as pre-copy, post-copy, and state compression have been proposed, they may suffer long migration times when the migrating virtual machines run large computation and memory intensive workloads. This paper presents the design and implementation of a novel Time-bound, thread-based Live Migration (TLM) mechanism, where additional threads are added to the pre-copy live migration algorithm to handle virtual machine state transfers within a bounded time period. In the time-bound principle, the upper-bound migration time of a virtual machine is proportional to the size of the virtual machine's memory. We propose a CPU over-committing mechanism to minimize migration downtime and avoid performance impacts to other virtual machines when the migration threads are in operation. We have implemented a prototype implementation of TLM on KVM, and conducted experiments by migrating virtual machines running a number of Class D OpenMP and MPI NAS parallel benchmarks. Experimental results showed the following: (i) TLM finished live migration in a bounded time period. Users are able to measure progress of migration operation. (ii) The CPU over-committing mechanism can be used to minimize live migration downtime. However, communication performance of virtual machines during live migration also declined as the number of over-committed CPUs reduced. The patterns of decline depended on execution behaviors of the applications on the virtual machines. (iii) The execution time increases of the OpenMP and MPI versions of the MG and IS benchmarks in our experiments were approximately equal to the migration times of TLM. (iv) We evaluated our CPU over-committing mechanism against the auto-convergence mechanism recently developed in kvm-1.6. We found that both mechanisms have their pros and cons, and their performance results are varied with application. Based on these results, we believe that the TLM design is practical for live migration of virtual machines running memory-intensive workloads, and the time-bound principle is an important new feature for pre-copy live migration optimization.
Starting Page	364
Ending Page	373
File Size	777859
Page Count	10
File Format	PDF
ISBN	9781479927845
DOI	10.1109/CCGrid.2014.107
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-05-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Time-varying systems Time-domain analysis Instruction sets Virtual machining Arrays Computers Central Processing Unit cloud computing live migration virtualization
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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