2010
DOI: 10.1007/s13174-010-0011-x
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Unifying divergence bounding and locality awareness in replicated systems with vector-field consistency

Abstract: Data replication is a very relevant technique for improving performance, availability, and scalability. These are requirements of many applications such as multiplayer distributed games, cooperative software tools, etc. However, consistency of the replicated shared state is hard to ensure. Current consistency models and middleware systems lack the required adaptability and efficiency. Thus, developing such robust applications is still a daunting task.We propose a new consistency model, named VectorField Consis… Show more

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Cited by 14 publications
(10 citation statements)
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“…Our solution is also related with the area of interest awareness in multiplayer games [36,37] and cooperative work [38,39]. Interest awareness systems manage the consistency of each user's view of the objects of a distributed application according to their distance to some special object(s).…”
Section: Related Workmentioning
confidence: 99%
“…Our solution is also related with the area of interest awareness in multiplayer games [36,37] and cooperative work [38,39]. Interest awareness systems manage the consistency of each user's view of the objects of a distributed application according to their distance to some special object(s).…”
Section: Related Workmentioning
confidence: 99%
“…It also maintains a replica pool consisting of the objects that are of interest to the player, managed according to Interest Management techniques [11]. For this purpose, we use the Vector-field Consistency model [12].…”
Section: Clouddreammentioning
confidence: 99%
“…Vector Field Consistency 29,30 (VFC ) is a consistency model for mobile multiplayer games that enables replicas to define their consistency requirements in a continuous consistency spectrum. The novelty of the VFC model is that it combines multi-dimensional divergence bounding with locality-awareness to improve the availability and user experience while effectively reducing bandwidth usage.…”
Section: Divergence Bounding In Optimistic Replicationmentioning
confidence: 99%