• DocumentCode
    1796814
  • Title

    Rethinking State-Machine Replication for Parallelism

  • Author

    Marandi, Parisa Jalili ; Bezerra, Carlos Eduardo ; Pedone, Fernando

  • Author_Institution
    Univ. of Lugano, Lugano, Switzerland
  • fYear
    2014
  • fDate
    June 30 2014-July 3 2014
  • Firstpage
    368
  • Lastpage
    377
  • Abstract
    State-machine replication, a fundamental approach to designing fault-tolerant services, requires commands to be executed in the same order by all replicas. Moreover, command execution must be deterministic: each replica must produce the same output upon executing the same sequence of commands. These requirements usually result in single-threaded replicas, which hinders service performance. This paper introduces Parallel State-Machine Replication (P-SMR), a new approach to parallelism in state-machine replication. P-SMR scales better than previous proposals since no component plays a centralizing role in the execution of independent commands-those that can be executed concurrently, as defined by the service. The paper introduces P-SMR, describes a "commodified architecture" to implement it, and compares its performance to other proposals using a key-value store and a networked file system.
  • Keywords
    fault tolerant computing; parallel processing; P-SMR approach; command execution; commodified architecture; fault-tolerant service design; key-value store; networked file system; parallel state-machine replication; parallelism; single-threaded replicas; Concurrent computing; Instruction sets; Libraries; Parallel processing; Semantics; Servers; System recovery; Distributed Systems; Fault-Tolerance; Multicore Architectures; Parallelism; State-Machine Replication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Distributed Computing Systems (ICDCS), 2014 IEEE 34th International Conference on
  • Conference_Location
    Madrid
  • ISSN
    1063-6927
  • Print_ISBN
    978-1-4799-5168-0
  • Type

    conf

  • DOI
    10.1109/ICDCS.2014.45
  • Filename
    6888913