Fast wide area live migration with a low overhead through page cache teleportation

Soramichi Akiyama, Takahiro Hirofuchi, Ryousei Takano, Shinichi Honiden

Research output: Contribution to conferencePaper

10 Citations (Scopus)

Abstract

Live migration of virtual machines over a wide area network has many use cases such as cross-datacenter load balancing, low carbon virtual private clouds, and disaster recovery of IT systems. An efficient wide area live migration method is required because cross-datacenter connections have a narrow bandwidth. Page cache occupies a large portion of the memory of a Virtual Machine (VM) when it executes data-intensive workloads. We propose a new live migration technique, page cache teleportation, which reduces the total migration time of wide area live migration and has a low overhead. It detects the restorable page cache in the guest memory that has the same contents as the corresponding disk blocks. The restorable page cache is not transferred via theWAN but is restored from the disk image before the VM resumes. In this way, the IO performance degradation reduces after the migration. Evaluations show that page cache teleportation reduces the total migration time of wide area live migration and has a lower performance overhead than existing approaches.

Original languageEnglish
Pages78-82
Number of pages5
DOIs
Publication statusPublished - 2013 Aug 14
Externally publishedYes
Event13th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing, CCGrid 2013 - Delft, Netherlands
Duration: 2013 May 132013 May 16

Other

Other13th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing, CCGrid 2013
CountryNetherlands
CityDelft
Period13/5/1313/5/16

Keywords

  • Cloud computing
  • Datacenter
  • Live migration
  • Virtualization
  • Wide area migration

ASJC Scopus subject areas

  • Software

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  • Cite this

    Akiyama, S., Hirofuchi, T., Takano, R., & Honiden, S. (2013). Fast wide area live migration with a low overhead through page cache teleportation. 78-82. Paper presented at 13th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing, CCGrid 2013, Delft, Netherlands. https://doi.org/10.1109/CCGrid.2013.57