Optimistic replication

Saitō, Yasushi; Shapiro, Marc

doi:10.1145/1057977.1057980

Cited by 472 publications

(321 citation statements)

References 90 publications

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“…Conflict resolution and consensus is a complex issue in general [12]. Perhaps the simplest solution is to retain one replica and discard the other.…”

Section: Challenges Of Collaborative Model Editingmentioning

confidence: 99%

A semantically rich approach for collaborative model edition

Michaux

Blanc

Shapiro

et al. 2011

Proceedings of the 2011 ACM Symposium on Applied Computing

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We propose a novel approach and tool for collaborative software engineering and development. In model-based software engineering, the underlying data structure is a complex, directed and labeled graph. Collaborative engineering requires that developers be able to copy the graph, make independent changes, compare them, detect conflicts, and merge nonconflicting graphs. To support different collaboration and development styles requires a very flexible toolset. Worldwide, loosely-coupled development teams require the support of large-scale networks of users, possibly disconnected, in a decentralised fashion. No matter how the graph replicas evolve, they must eventually converge. We describe and evaluate C-Praxis, a tool that satisfies these requirements.

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“…Conflict resolution and consensus is a complex issue in general [12]. Perhaps the simplest solution is to retain one replica and discard the other.…”

Section: Challenges Of Collaborative Model Editingmentioning

confidence: 99%

A semantically rich approach for collaborative model edition

Michaux

Blanc

Shapiro

et al. 2011

Proceedings of the 2011 ACM Symposium on Applied Computing

Self Cite

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“…The balancing of integrity and availability has already been investigated with respect to isolation [26,27] and replica consistency [28,7,29] and different strategies to optimistic replication are already well-known [30]. The focus of our work to trade constraint consistency for availability did not yet receive too much attention.…”

Section: Related Workmentioning

confidence: 99%

Middleware Support for Adaptive Dependability

Froihofer¹,

Goeschka²,

Osrael³

2007

Lecture Notes in Computer Science

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Abstract. Generic middleware can often not provide satisfactory solutions, but neither is it acceptable to let the application developer reinvent the wheel each time. Therefore, middleware shall support reuse of infrastructural services while leaving the application in control. In particular, we contribute with a middleware approach to support adaptive dependability by balancing integrity and availability in distributed systems. To achieve this goal, we add a new middleware service for explicit runtime management of data integrity constraints. In order to provide the desired balancing with respect to an application's requirements and environment conditions, our approach supports the application developer with explicit interaction between middleware, application, and metadata. Based on our prototype implementation, we show how adaptive balancing of integrity and availability improves the overall dependability. The performance impairments of our approach are typically worth their costs in systems where the read-to-write ratio is high or write performance is not a limiting factor.

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“…It is well known that an easy way to support such applications and systems is by data replication [15]. Optimistic replication (OR) [15] is especially interesting in ubiquitous and pervasive environments, due to their inherent weak connectivity.…”

Section: Introductionmentioning

confidence: 99%

“…Optimistic replication (OR) [15] is especially interesting in ubiquitous and pervasive environments, due to their inherent weak connectivity. OR, in contrast to traditional pessimistic replication, enables access to a replica without a priori synchronization with the other replicas.…”

Section: Introductionmentioning

confidence: 99%

Meaningful Metrics for Evaluating Eventual Consistency

Barreto

Ferreira

2010

Euro-Par 2010 - Parallel Processing

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Abstract. Optimistic replication is a fundamental technique for supporting collaborative work practices in mobile environments. However, eventual consistency, in contrast to immediate strong consistency in pessimistic replication, is much harder to evaluate. This paper analyzes different metrics for measuring the effectiveness of eventually consistent systems. Using results from a simulated environment of relevant optimistic replication protocols, we show that each metric hides previously undocumented side effects. These add considerable imprecision to any evaluation that exclusively relies on a single metric. Hence, we advocate a combined methodology comprising three complementary metrics: commit ratio, average agreement delay and average commit delay.

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Optimistic replication

Cited by 472 publications

References 90 publications

A semantically rich approach for collaborative model edition

A semantically rich approach for collaborative model edition

Middleware Support for Adaptive Dependability

Meaningful Metrics for Evaluating Eventual Consistency

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