Research on Improvement of Cloud Virtual Machine Memory Migration Algorithm for Oil and Gas Exploration and Development

doi:10.11885/j.issn.1674-5086.2020.05.28.02

Abstract

Abstract: The dynamic migration of virtual machines is of great significance to the cloud platform security construction of digital oil fields. The paper discusses the virtual machine dynamic migration mechanism in the key technology of cloud computingvirtualization technology. Aiming at the problem of too long downtime of the pre-copy migration method, based on the pre-copy method, this paper proposes an identification-based dynamic migration method, which can effectively reduce the migration time and improve the migration efficiency. First, a counter is added to record the number of dirty pages to determine whether it is frequently changed. Then, a window value is set. When the number of frequently changed dirty pages reaches the window value, all dirty pages are sent to the target server. This method avoids the problem of excessive virtual machine downtime caused by too many pages during the last transfer. Experimental results show that this method is better than the pre-copy method in migration time and data transfer volume, and improves the efficiency of virtual machine migration.

Key words: digital oilfield, virtual machine technology, dynamic migration, pre-copy, dirty pages

CLC Number:

TE132

QIAO Ying, WU Yijia, YANG Xuhua. Research on Improvement of Cloud Virtual Machine Memory Migration Algorithm for Oil and Gas Exploration and Development[J]. Journal of Southwest Petroleum University(Science & Technology Edition), 2020, 42(6): 181-186.

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URL: http://journal15.magtechjournal.com/Jwk_xnzk/EN/10.11885/j.issn.1674-5086.2020.05.28.02

http://journal15.magtechjournal.com/Jwk_xnzk/EN/Y2020/V42/I6/181

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