Semantically Aware Contention Management for Distributed Applications - Distributed Applications and Interoperable Systems Access content directly
Conference Papers Year : 2013

Semantically Aware Contention Management for Distributed Applications

Matthew Brook
  • Function : Author
  • PersonId : 1004033
Craig Sharp
  • Function : Author
  • PersonId : 1004034
Graham Morgan
  • Function : Author
  • PersonId : 1004035

Abstract

Distributed applications that allow replicated state to deviate in favour of increasing throughput still need to ensure such state achieves consistency at some point. This is achieved via compensating conflicting updates or undoing some updates to resolve conflicts. When causal relationships exist across updates that must be maintained then conflicts may result in previous updates also needing to be undone or compensated for. Therefore, an ability to manage contention across the distributed domain to preemptively lower conflicts as a result of causal infringements without hindering the throughput achieved from weaker consistency is desirable. In this paper we present such a system. We exploit the causality inherent in the application domain to improve overall system performance. We demonstrate the effectiveness of our approach with simulated benchmarked performance results.
Fichier principal
Vignette du fichier
978-3-642-38541-4_1_Chapter.pdf (616.66 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01489460 , version 1 (14-03-2017)

Licence

Attribution

Identifiers

Cite

Matthew Brook, Craig Sharp, Graham Morgan. Semantically Aware Contention Management for Distributed Applications. 13th International Conference on Distributed Applications and Interoperable Systems (DAIS), Jun 2013, Florence, Italy. pp.1-14, ⟨10.1007/978-3-642-38541-4_1⟩. ⟨hal-01489460⟩
31 View
71 Download

Altmetric

Share

Gmail Facebook X LinkedIn More