Optimization of migration downtime of virtual machines in cloud

Author

Johnson, Jacqueline A.

Author_Institution

Dept. of Comput. Sci. & Eng., Anna Univ., Chennai, India

fYear

2013

fDate

4-6 July 2013

Firstpage

1

Lastpage

5

Abstract

Virtualization technology, being the most effective solution to the resource management of cloud computing, excels in it is virtual machine real-time migration technology. One key issue of live migration of virtual machine is how to quickly and transparently migrate virtual machines to meet Service Level Agreements (S LAs). In this paper an improved time-series based precopy approach technique is proposed. With the time-series prediction technique, frequently updated dirty pages (high dirty pages) are identified more precisely, and transmit them in the last round of iteration, in order to reduce unnecessary, repeated transmission of dirty pages. Doing so can significantly reduce the total migration time.

Keywords

cloud computing; contracts; resource allocation; time series; virtual machines; virtualisation; SLA; cloud computing; dirty pages; migration downtime optimization; resource management; service level agreements; time-series based precopy approach technique; time-series prediction technique; virtual machine real-time migration technology; virtualization technology; Algorithm design and analysis; Arrays; Cloud computing; Equations; Market research; Virtual machining; Virtualization; Cloud Computing; Dynamic Migration of the Virtual Machine; Migration Framework; Optimization algorithm; Virtualization;

fLanguage

English

Publisher

ieee

Conference_Titel

Computing, Communications and Networking Technologies (ICCCNT),2013 Fourth International Conference on

Conference_Location

Tiruchengode

Print_ISBN

978-1-4799-3925-1

Type

conf

DOI

10.1109/ICCCNT.2013.6726508

Filename

6726508