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SyncSnap: Synchronized Live Memory Snapshots of Virtual Machine Networks

Authors: Bin Shi; Bo Li 0005; Lei Cui 0003; Jieyu Zhao; Jianxin Li 0002;

SyncSnap: Synchronized Live Memory Snapshots of Virtual Machine Networks

Abstract

With the prevalence of virtualization technology, virtual machine networks (VMN) have been widely used in host network applications. To provide fault tolerance and non-stop features to network applications and preserve the network consistency among virtual machines (VM), the distributed snapshot technique of virtual machine networks regains the attention of academia. While existing approaches still suffer from long service interruption and performance degradation when taking snapshots. Especially the TCP back off problem, which is due to the inconsistence of the snapshot completion time among VMs, may lead to network packet loss and even crash the connections among virtual machines. In this paper, we present Sync Snap, a system that takes live distributed memory snapshots of virtual machine networks synchronously with only milliseconds of downtime and ensure all the VMs complete snapshots at almost the same time. An adaptive single-VM snapshot approach is proposed to accurately control the snapshot duration through dynamically adjusting the snapshot speed. Furthermore, a synchronization mechanism is designed to ensure that a global consistency state of VMN can be reached by controlling snapshot duration of each VM. We have implemented Sync Snap on QEMU/KVM and performed several experiments to evaluate its effectiveness and efficiency. The experimental results demonstrate that our approach can control the VM snapshot duration to a given value with only tens of milliseconds deviation and reduce TCP back off duration to hundreds milliseconds.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Average
Average
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