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  1. Proceedings of the 4th Workshop on Distributed Cloud Computing (DCC '16)
  2. Software-defined consistency group abstractions for virtual machines
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Next generation virtual network architecture for multi-tenant distributed clouds: challenges and emerging techniques
vMCN: virtual mobile cloud network for realizing scalable, real-time cyber physical systems
Software-defined consistency group abstractions for virtual machines
Slicing in locavore infrastructures
Adaptive resilient routing via preorders in SDN
The CAT theorem and performance of transactional distributed systems
New techniques to curtail the tail latency in stream processing systems
Optimized VM memory allocation based on monitored cache hit ratio
The misbelief in delay scheduling
Towards migrating computation to distributed memory caches
DSB-SEIS: a deduplicating secure backup system with encryption intensity selection

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Article

Software-defined consistency group abstractions for virtual machines

Content Provider ACM Digital Library
Author Languev, Ilya Rahman, Muntasir Raihan Griffith, Rean Piduri, Sudarsan Gupta, Indranil
Abstract In this paper we propose a practical scalable software-level mechanism for taking crash-consistent snapshots of a group of virtual machines. The group is dynamically defined at the software virtualization layer allowing us to move the consistency group abstraction from the hardware array layer into the hypervisor with very low overhead (~ 50 msecs VM freeze time). This low overhead allows us to take crash-consistent snapshots of large software-defined consistency groups at a reasonable frequency, guaranteeing low data loss for disaster recovery. To demonstrate practicality, we use our mechanism to take crash-consistent snapshots of multi-disk virtual machines running two database applications: PostgreSQL, and Apache Cassandra. Deployment experiments confirm that our mechanism scales well with number of VMs, and snapshot times remain invariant of virtual disk size and usage.
Starting Page 1
Ending Page 6
Page Count 6
File Format PDF
ISBN 9781450342209
DOI 10.1145/2955193.2955198
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2016-07-25
Publisher Place New York
Access Restriction Subscribed
Content Type Text
Resource Type Article
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