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Journals ACM SIGACT News Volume 40 Issue 3

Building Reliable Large-Scale Distributed Systems: When Theory Meets Practice Lidong Zhou Microsoft Research Asia lidongz@microsoft.com Introduction Large-scale distributed systems are in the vogue with the increasing popularity of cloud computing, because a cloud is usually constructed from a large number of commodity machines. Due to the fail-prone nature of the commodity hardware, reliability has been a central piece in the design of those systems. The theoretical distributed system community is in theory well prepared to embrace this (possibly a bit hyped) new era: the community started uncovering the fundamental principles and theories more than thirty years ago. The core consensus problem and the replicated state-machine approach [19, 32] based on consensus are directly applicable to the reliability problem in large-scale distributed systems. Although some basic concepts and core algorithms (such as Paxos [20]) do nd their way into the practical systems, the relevance of the research in the community does not appear as high as expected to the practical large-scale distributed systems that have been developed and deployed. There is undeniably a signi cant gap between theory and practice in this particular context. This article re ‚ects our rather biased personal perspectives on the gap between theory and

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Building reliable large-scale distributed systems: when theory meets practice

Zhou, Lidong
ACM SIGACT News , Volume 40 (3)
Association for Computing Machinery – Sep 25, 2009

More Info
  • Publisher Association for Computing Machinery
  • Copyright The ACM Portal is published by the Association for Computing Machinery. Copyright © 2010 ACM, Inc.
  • ISSN 0163-5700
  • D.O.I. 10.1145/1620491.1620507
  • Publisher site Get PDF  

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