Dynamic data replication and consistency in mobile environments

Beloued, Abdelkrim; Gilliot, Jean-Marie; Segarra, Maria-Teresa; André, Fabrice

doi:10.1145/1101140.1101141

Cited by 12 publications

(3 citation statements)

References 21 publications

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“…Distributed data replication has applications not only in distributed databases [26], but also in fault-tolerant shared memory clusters [28], P2P file sharing services [27], data migration in dynamic content Web servers [33], replication for Web hosting systems [32], mobile environments [7] and Web distribution of XML documents [2]. There is recent interest in adaptive replication procedures for Web services.…”

Section: Discussionmentioning

confidence: 99%

Adaptive Distributed Database Replication Through Colonies of Pogo Ants

Abdul-Wahid

Andonie

Lemley

et al. 2007

2007 IEEE International Parallel and Distributed Processing Symposium

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Section: Discussionmentioning

confidence: 99%

Adaptive Distributed Database Replication Through Colonies of Pogo Ants

Abdul-Wahid

Andonie

Lemley

et al. 2007

2007 IEEE International Parallel and Distributed Processing Symposium

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“…[Kleinöder and Golm, 1996], [Fraga et al, 1997]) and other on frameworks with specific components (e.g. [Drapeau at al., 2002], [Beloued et al, 2005]). These approaches allow, in different ways, the adaptation of the structure of replicated systems according to different distributed service needs.…”

Section: Discussionmentioning

confidence: 99%

A Meta Protocol for Adaptable Mobile Replicated Databases

Fritzke

Gomes

Silva

et al. 2007

Anais Do VIII Workshop De Testes E Tolerância a Falhas (WTF 2007)

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This paper presents a meta protocol that allows the replacement of replication control protocols in mobile replicated databases. The meta protocol is motivated by the adaptability requirements of mobile database systems but can also be used on replicated databases with fixed nodes. The paper defines three properties that meta protocol executions have to enforce and specifies a protocol that satisfies these properties. The protocol is based on transactions and atomic broadcast. Finally, we outline a dynamic adaptable architecture that includes the meta protocol and that is based of an aspect oriented framework and on a group communication system.

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“…accept the partial failure or roll back). -replication [8] and load balancing strategies [9] aspects at the interface to the infrastructure services (join point 3) to detectinfrastructure service failures. -a reliability threat aspect at join points 4 and 5 to create a reliable communication service to handle communication failures.…”

Section: Operating Environment Consistency Enginementioning

confidence: 99%

A Consistency Framework for Dynamic Reconfiguration in AO-Middleware Architectures

Surajbali

Grace

Coulson

2014

Software Architecture

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Abstract. Aspect-oriented (AO) middleware is a promising technology for the realisation of dynamic reconfiguration in distributed systems. Similar to other dynamic reconfiguration approaches, AO-middleware based reconfiguration requires that the consistency of the system is maintained across reconfigurations. AO middleware based reconfiguration is an ongoing research topic and several consistency approaches have been proposed. However, most of these approaches tend to be targeted at specific narrow contexts, whereas for heterogeneous distributed systems it is crucial to cover a wide range of operating conditions. In this paper we address this problem by exploring a flexible, framework-based consistency management approach that cover a wide range of operating conditions ensuring distributed dynamic reconfiguration in a consistent manner for AO-middleware architectures.

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Dynamic data replication and consistency in mobile environments

Cited by 12 publications

References 21 publications

Adaptive Distributed Database Replication Through Colonies of Pogo Ants

Adaptive Distributed Database Replication Through Colonies of Pogo Ants

A Meta Protocol for Adaptable Mobile Replicated Databases

A Consistency Framework for Dynamic Reconfiguration in AO-Middleware Architectures

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