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Predicting the performance of virtual machine migration

Predicting the performance of virtual machine migration,10.1109/MASCOTS.2010.13,Sherif Akoush,Ripduman Sohan,Andrew Rice,Andrew W. Moore,Andy Hopper

Predicting the performance of virtual machine migration   (Citations: 6)
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With the ability to move virtual machines between physical hosts, live migration is a core feature of virtualisation. However for migration to be useful, deployable feature on a large (datacentre) scale, we need to predict migration times with accuracy. In this paper, we characterise the parameters affecting live migration with particular emphasis on the Xen virtualisation platform. We discuss the relationships between the important parameters that affect migration and highlight how migration performance can vary considerably depending on the workload. We further provide 2 simulation models that are able to predict migration times to within 90% accuracy for both synthetic and real-world benchmarks.
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    • ...[11] and Akoush et a!. [12] examine the modeling of delays...

    Shinji Kikuchiet al. What will happen if cloud management operations burst out?

    • ...We focus on two metrics in the investigation - the overall migration time and the blackout time of the VM. This is in alignment to earlier simulation attempts on this topic, such as [35]...

    Andreas Polzeet al. Timely Virtual Machine Migration for Proactive Fault Tolerance

    • ...The experimental setup for this workload is available in prior work [8]...
    • ...Furthermore, we are in the process of unifying our previous work on memory state migration [8] with ABSS to create one VM migration algorithm that allows operators to transparently and efficiently move VMs across WAN links without violating service level agreements...

    Sherif Akoushet al. Activity Based Sector Synchronisation: Efficient Transfer of Disk-Stat...

    • ...3 low-level VM parameters like dirty rate [1], or applicationtype [9]...
    • ...Barring minor implementation details specific to individual hypervisors (e.g., the simulation model in [1] is more finegrained and has different stop conditions), the baseline model captures the essence of all the earlier models [18], [9], [1] proposed to capture the impact of live migration...
    • ...Barring minor implementation details specific to individual hypervisors (e.g., the simulation model in [1] is more finegrained and has different stop conditions), the baseline model captures the essence of all the earlier models [18], [9], [1] proposed to capture the impact of live migration...
    • ...Akoush et al [1] provide the first study to estimate the duration of live migration and present 2 simulation models...

    Akshat Vermaet al. CosMig: Modeling the Impact of Reconfiguration in a Cloud

    • ...For example, [10] proposed a network model for efficient live migration scheduling, although it does not propose detailed algorithms, while [11] and [12] examine the modeling of delays in live migrations and some techniques are proposed to reduce network bandwidth consumption...

    Shinji Kikuchiet al. Performance Modeling of Concurrent Live Migration Operations in Cloud ...

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