research-article

Fast crash recovery in RAMCloud

Authors:

Stephen M. Rumble,

John Ousterhout,

Mendel RosenblumAuthors Info & Claims

SOSP '11: Proceedings of the Twenty-Third ACM Symposium on Operating Systems Principles

Pages 29 - 41

https://doi.org/10.1145/2043556.2043560

Published: 23 October 2011 Publication History

Abstract

RAMCloud is a DRAM-based storage system that provides inexpensive durability and availability by recovering quickly after crashes, rather than storing replicas in DRAM. RAMCloud scatters backup data across hundreds or thousands of disks, and it harnesses hundreds of servers in parallel to reconstruct lost data. The system uses a log-structured approach for all its data, in DRAM as well as on disk: this provides high performance both during normal operation and during recovery. RAMCloud employs randomized techniques to manage the system in a scalable and decentralized fashion. In a 60-node cluster, RAMCloud recovers 35 GB of data from a failed server in 1.6 seconds. Our measurements suggest that the approach will scale to recover larger memory sizes (64 GB or more) in less time with larger clusters.

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Index Terms

Fast crash recovery in RAMCloud
1. General and reference
  1. Cross-computing tools and techniques
    1. Measurement
2. Software and its engineering
  1. Software organization and properties

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cover image ACM Conferences

SOSP '11: Proceedings of the Twenty-Third ACM Symposium on Operating Systems Principles

October 2011

417 pages

ISBN:9781450309776

DOI:10.1145/2043556

General Chair:
Ted Wobber
MSR Silicon Valley
,
Program Chair:
Peter Druschel
MPI-SWS

Copyright © 2011 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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INESC: Systems and Computer Engineering Institute
SIGOPS: ACM Special Interest Group on Operating Systems

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 23 October 2011

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SOSP '11

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INESC
SIGOPS

SOSP '11: ACM SIGOPS 23nd Symposium on Operating Systems Principles

October 23 - 26, 2011

Cascais, Portugal

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Overall Acceptance Rate 131 of 716 submissions, 18%

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SOSP '24

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ACM SIGOPS 30th Symposium on Operating Systems Principles

November 5 - 8, 2024

Austin , TX , USA

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https://doi.org/10.1109/ICCCS61882.2024.10603010
Psistakis AChaix FTorrellas J(2024)MINOS: Distributed Consistency and Persistency Protocol Implementation & Offloading to SmartNICs2024 IEEE International Symposium on High-Performance Computer Architecture (HPCA)10.1109/HPCA57654.2024.00076(1-17)Online publication date: 2-Mar-2024
https://doi.org/10.1109/HPCA57654.2024.00076
Sharma GChaudhary MSharma BJuneja VKhurana SPhanden R(2024)Reliability-Based Load Balancing Algorithm in Cloud Environment for Manufacturing SectorAdvances in Manufacturing and Materials10.1007/978-981-97-3173-2_29(433-443)Online publication date: 11-Jul-2024
https://doi.org/10.1007/978-981-97-3173-2_29
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