NDLI: PARS: A Page-Aware Replication System for Efficiently Storing Virtual Machine Snapshots

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PARS: A Page-Aware Replication System for Efficiently Storing Virtual Machine Snapshots

PARS: A Page-Aware Replication System for Efficiently Storing Virtual Machine Snapshots

Content Provider	ACM Digital Library
Author	Huai, Jinpeng Li, Bo Cui, Lei Li, Jianxin Shi, Bin Wo, Tianyu
Abstract	Virtual machine (VM) snapshot enhances the system availability by saving the running state into stable storage during failure-free execution and rolling back to the snapshot point upon failures. Unfortunately, the snapshot state may be lost due to disk failures, so that the VM fails to be recovered. The popular distributed file systems employ replication technique to tolerate disk failures by placing redundant copies across disperse disks. However, unless user-specific personalization is provided, these systems consider the data in the file as of same importance and create identical copies of the entire file, leading to non-trivial additional storage overhead. This paper proposes a page-aware replication system (PARS) to store VM snapshots efficiently. PARS employs VM introspection technique to explore how a page is used by guest, and classifies the pages by their importance to system execution. If a page is critical, PARS replicates it multiple copies to ensure high availability and long-term durability. Otherwise, the loss of this page causes no harm for system to work properly, PARS therefore saves only one copy of the page. Consequently, PARS improves storage efficiency without compromising availability. We have implemented PARS to justify its practicality. The experimental results demonstrate that PARS achieves 53.9% space saving compared to the native replication approach in HDFS which replicates the whole snapshot file fully and identically.
Starting Page	215
Ending Page	228
Page Count	14
File Format	PDF
ISBN	9781450334501
DOI	10.1145/2731186.2731190
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2015-03-14
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Availability Replication Storage space saving Virtual machine snapshot Introspection
Content Type	Text
Resource Type	Article

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