Boosting locality in multi-version partial data replication

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2 Citations (Scopus)


Partial data replication protocols for transactional distributed systems present a high scalability potential, but suffer from a shortcoming of the utmost importance: data access locality. In a partial data replication setting, performance can be boosted by serving transactional read operations locally and preventing the expensive overhead of inter-node communication. In this paper we address this concern by proposing a generic caching mechanism directed towards multi-version partial data replication protocols and illustrate its application in a specific protocol, namely SCORe. Experimental results corroborate the effectiveness of the proposed caching mechanism in read-dominated workloads, where it clearly improves the system's overall throughput. Copyright is held by the owner/author(s).

Original languageEnglish
Title of host publication2015 Symposium on Applied Computing, SAC 2015
PublisherAssociation for Computing Machinery
Number of pages6
ISBN (Electronic)9781450331968
Publication statusPublished - 13 Apr 2015
Event30th Annual ACM Symposium on Applied Computing, SAC 2015 - Salamanca, Spain
Duration: 13 Apr 201517 Apr 2015


Conference30th Annual ACM Symposium on Applied Computing, SAC 2015


  • Cache
  • Concurrency control
  • Distributed systems
  • Multi-version
  • Partial data replication


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