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Conference papers

Partial Replication Policies for Dynamic Distributed Transactional Memory in Edge Clouds

Abstract : Distributed Transactional Memory (DTM) can play a fundamental role in the coordination of participants in edge clouds as a support for mobile distributed applications. DTM emerges as a concurrency mechanism aimed at simplifying distributed programming by allowing groups of operations to execute atomically, mirroring the well-known transaction model of relational databases. In spite of recent studies showing that partial replication approaches can present gains in the scalability of DTMs by reducing the amount of data stored at each node, most DTM solutions follow a full replication scheme. The few partial replicated DTM frameworks either follow a random or round-robin algorithm for distributing data onto partial replication groups. In order to overcome the poor performance of these schemes, this paper investigates policies to extend the DTM to efficiently and dynamically map resources on partial replication groups. The goal is to understand if a dynamic service that constantly evaluates the data mapped into partial replicated groups can contribute to improve DTM based systems performance.
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Contributor : François Taïani Connect in order to contact the contributor
Submitted on : Wednesday, December 21, 2016 - 2:46:36 PM
Last modification on : Wednesday, November 3, 2021 - 6:05:27 AM
Long-term archiving on: : Monday, March 20, 2017 - 8:42:35 PM


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Diogo Lima, Hugo Miranda, François Taïani. Partial Replication Policies for Dynamic Distributed Transactional Memory in Edge Clouds. 1st Workshop on Middleware for Edge Clouds & Cloudlets (MECC'16), Dec 2016, Trento, Italy. pp.1 - 6, ⟨10.1145/3017116.3022872⟩. ⟨hal-01420708⟩



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