Fast Live Migration with Small IO Performance Penalty by Exploiting SAN in Parallel

Akiyama, Soramichi; Hirofuchi, Takahiro; Takano, Ryousei; Honiden, Shinichi

doi:10.1109/cloud.2014.16

Cited by 2 publications

(3 citation statements)

References 16 publications

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“…* This is a journal version of our previous paper [1], and a part of the texts in Sect. 1 operating systems.…”

Section: Introductionmentioning

confidence: 99%

“…1 operating systems. Large amount of page cache prolongs live migration thus it must be approached to achieve efficient live migration.…”

Section: Introductionmentioning

confidence: 99%

“…Large amount of page cache prolongs live migration thus it must be approached to achieve efficient live migration. Existing studies tackle this problem by either (1) force the guest OS to delete the page cache before a migration to shrink the memory size [6], [7], or (2) use the storage area network (SAN) for transforming page cache [1], [8], [9]. However, the former studies greatly penalize the IO performance of the VM due to the loss of the page cache, and the latter studies cannot adapt to the dynamic characteristics of cloud data centers (described in detain in Sect.…”

Section: Introductionmentioning

confidence: 99%

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Fast Live Migration for IO-Intensive VMs with Parallel and Adaptive Transfer of Page Cache via SAN

Akiyama

Hirofuchi

Takano

et al. 2016

IEICE Trans. Inf. & Syst.

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SUMMARYLive migration plays an important role on improving efficiency of cloud data centers by enabling dynamically replacing virtual machines (VMs) without disrupting services running on them. Although many studies have proposed acceleration mechanisms of live migration, IO-intensive VMs still suffer from long total migration time due to a large amount of page cache. Existing studies for this problem either force the guest OS to delete the page cache before a migration, or they do not consider dynamic characteristics of cloud data centers. We propose a parallel and adaptive transfer of page cache for migrating IO-intensive VMs which (1) does not delete the page cache and is still fast by utilizing the storage area network of a data center, and (2) achieves the shortest total migration time without tuning hand-crafted parameters. Experiments showed that our method reduces total migration time of IO-intensive VMs up to 33.9%.

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“…* This is a journal version of our previous paper [1], and a part of the texts in Sect. 1 operating systems.…”

Section: Introductionmentioning

confidence: 99%

“…1 operating systems. Large amount of page cache prolongs live migration thus it must be approached to achieve efficient live migration.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Fast Live Migration for IO-Intensive VMs with Parallel and Adaptive Transfer of Page Cache via SAN

Akiyama

Hirofuchi

Takano

et al. 2016

IEICE Trans. Inf. & Syst.

Self Cite

View full text Add to dashboard Cite

show abstract

Efficient performance upsurge in live migration with downturn in the migration time and downtime

2018

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Fast Live Migration with Small IO Performance Penalty by Exploiting SAN in Parallel

Cited by 2 publications

References 16 publications

Fast Live Migration for IO-Intensive VMs with Parallel and Adaptive Transfer of Page Cache via SAN

Fast Live Migration for IO-Intensive VMs with Parallel and Adaptive Transfer of Page Cache via SAN

Efficient performance upsurge in live migration with downturn in the migration time and downtime

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