The Community for Technology Leaders
RSS Icon
Subscribe
Bangkok
Jan. 28, 2013 to Jan. 30, 2013
ISBN: 978-1-4673-5740-1
pp: 227-231
Tin-Yu Wu , Institute of Computer Science and Information Engineering, National Ilan University, Taiwan, R.O.C.
Wei-Tsong Lee , Department of Electrical Engineering, Tamkang University, Taiwan, R.O.C.
Jhih-Siang Huang , Department of Electrical Engineering, Tamkang University, Taiwan, R.O.C.
Chien-Yu Duan , Department of Electrical Engineering, Tamkang University, Taiwan, R.O.C.
Tain- Wen Suen , Chung-shan institute of Science and Technology, Taiwan, R.O.C.
ABSTRACT
Because cloud computing and cloud-based applications have attracted more and more attention in recent years, more and more servers are needed to provide services. However, each traditional server can execute only one application at one time. In order to satisfy user requirements and increase the server utilization rates, server virtualization has thus presented to the public. For clients to experience seamless services, live migration has become a significant research topic. Previous researches have revealed that two important parameters affecting live migration are downtime and total migration time. Traditional pre-copy approaches can reduce the downtime but the total migration time is too long due to repeated retransmissions. Therefore, to decrease the downtime and total migration time, our proposed scheme sets the threshold values based on memory modification prediction technique to determine whether the pages must be transferred in the stop-and-copy phase.
INDEX TERMS
Pre-copy, Virtual Machine, Live Migration
CITATION
Tin-Yu Wu, Wei-Tsong Lee, Jhih-Siang Huang, Chien-Yu Duan, Tain- Wen Suen, "An enhanced approach for estimating writable working set by pre-copy and prediction", ICOIN, 2013, 2013 International Conference on Information Networking (ICOIN), 2013 International Conference on Information Networking (ICOIN) 2013, pp. 227-231, doi:10.1109/ICOIN.2013.6496381
17 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool