Volume 7 Number 2 (Apr. 2015)
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IJCEE 2015 Vol.7(2): 140-148 ISSN: 1793-8163
DOI: 10.17706/IJCEE.2015.V7.880

Optimized Pre-copy Migration Using STORD for Memory Intensive Environment

Jae-Geun Cha, Chi-Hoon Shin, Hag-Young Kim
Abstract—The conventional pre-copy method for live migration leads to redundant transmission of data transmitted. In addition, the migration efficiency decreases in the memory intensive environment where the memory is frequently modified because the modified memory data should do retransmission. Recently, these problems intensified because of growing complexity of computing environment such as Big-data and Cloud. In order to address these problems, we propose a method that is split transfer and omitting redundant dirty pages (STORD). We compared our approach with the conventional pre-copy method to evaluate the performance. In particular, we used a static bandwidth and generated a same size of dirty pages on split memory data for migration to show the effect of transferring the split memory. Simulation result showed that the proposed method saved the total migration time from 6% to 65% compared to pre-copy method. Also, when the environment has dirty page rate of 90%, our approach took less total migration time than MECOM which is the improvised method of pre-copy. Therefore, the proposed method is able to alleviate system performance degradation because our approach takes less migration time than previous method in Big-data or the multi-core environment.

Index Terms—Live migration, virtualization, virtual machine, pre-copy, splitting transmitted memory data.

Jae-Geun Cha and Hag-Young Kim are with University of Science and Technology and Electronics and Telecommunication Research Institute, Republic of Korea.
Chi-Hoon Shin is with the Electronics and Telecommunication Research Institute, Republic of Korea.

Cite:Jae-Geun Cha, Chi-Hoon Shin, Hag-Young Kim, "Optimized Pre-copy Migration Using STORD for Memory Intensive Environment," International Journal of Computer and Electrical Engineering vol. 7, no. 2, pp. 140-148, 2015.

General Information

ISSN: 1793-8163
Frequency: Semiyearly
Editor-in-Chief: Prof. Yucong Duan
Abstracting/ Indexing: EI (INSPEC, IET), Ulrich's Periodicals Directory, Google Scholar, EBSCO, Engineering & Technology Digital Library, ProQuest, and Electronic Journals Library
E-mail: ijcee@iap.org

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