High Performance Live Migration through Dynamic Page Transfer Reordering and Compression

Svärd, Petter; Tordsson, Johan; Hudzia, Benoît; Elmroth, Erik

doi:10.1109/cloudcom.2011.82

Cited by 42 publications

(29 citation statements)

References 10 publications

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“…The overall risk mitigation process can broadly be categorised into two main issues: general migration risks and security-related risks. The former risk types are further elaborated to address issues of economical evaluation (Mastroeni and Naldi, 2011), downtime prevention during migration (Svard et al, 2011), handling legacy applications (Beserra et al, 2012), cloud resource estimation (Vobugari et al, 2013) and application migration challenges (Kolb et al, 2015). Extending further into the former category of general migration risks, a number of sub-challenges are to be identified and resolved .…”

Section: Literature Reviewmentioning

confidence: 99%

An exploratory study for investigating the critical success factors for cloud migration in the Saudi Arabian higher education context

Alharthi

Alassafi

Walters

et al. 2017

Telematics and Informatics

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Section: Literature Reviewmentioning

confidence: 99%

An exploratory study for investigating the critical success factors for cloud migration in the Saudi Arabian higher education context

Alharthi

Alassafi

Walters

et al. 2017

Telematics and Informatics

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“…Microwiper [19] ordered dirty memory pages according their rewriting rate. Petter et al [20] designed a page priority map on top of the dirty page bitmap and proposed dynamic page transfer reordering based on it. CR/TR-Motion [22] log execution trace on source and replay it on target host.…”

Section: Related Workmentioning

confidence: 99%

ITC-LM: A Smart Iteration-Termination Criterion Based Live Virtual Machine Migration

Zhu

Huang

et al. 2013

Lecture Notes in Computer Science

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Abstract. Live migration of virtual machines (VMs) plays an important role in grids, clouds and datacenters, and has become the cornerstone of resource management in virtualized systems. The efficiency of live migration depends on the downtime, total migration time and total transferred data. However, while migrating a memory-intensive VM, XEN/KVM often do many useless iterations of memory copy in order to reach expected downtime which can never be reached, leading to a great deal of useless data transferring and insufferable total migration time. It consumes mass of network bandwidth and CPU resource when transferring memory from one to another node. Hence, a critical task is to determine the optimal time to terminate the copy iteration for live migration. In this paper, we propose a smart iteration-termination criterion based live migration which is termed as ITC-LM, to self adaptively control when to terminate iteration. We have implemented ITC-LM into KVM/QEMU. The improvement is significant, especially when migrate a memory-intensive VM. The experimental results show that, our approach can decrease 50.33% of total transferred data on average without impairing migration downtime.

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“…Another memory compression technique is proposed by Svard et al [5]. They implemented the application of delta compression during the transfer of memory pages in order to increase migration throughput and thus reduce downtime.…”

Section: Improvement Over Pre-copy Approachmentioning

confidence: 99%

Comparative Study of Live Virtual Machine Migration Techniques in Cloud

Soni¹,

Kalra²

2013

IJCA

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Virtualization technology is currently becoming increasingly popular and valuable in cloud computing environments due to the benefits of server consolidation, live migration, and resource isolation. Live virtual machine migration is the process of moving virtual machine from one physical host to other without disturbing the users. Effective migration of virtual machine requires the movement of storage, memory, process states and network connectivity. Live migration of virtual machines has been a powerful tool to facilitate system maintenance, load balancing, fault tolerance, and powersaving, especially in clusters or data centers. During the process of migration, services are running in the virtual machines, hence it requires minimum total migration time, down time in order to avoid service degradation. This paper introduced discussion of various techniques for effective live virtual machine migration to reduce both downtime and total migration time. This paper also present the various scenarios, where the live migration of virtual machines can takes place.

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High Performance Live Migration through Dynamic Page Transfer Reordering and Compression

Cited by 42 publications

References 10 publications

An exploratory study for investigating the critical success factors for cloud migration in the Saudi Arabian higher education context

An exploratory study for investigating the critical success factors for cloud migration in the Saudi Arabian higher education context

ITC-LM: A Smart Iteration-Termination Criterion Based Live Virtual Machine Migration

Comparative Study of Live Virtual Machine Migration Techniques in Cloud

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