The Replica Management System: a scheme for flexible and dynamic replication

Little, MC; McCue, Daniel L.

doi:10.1109/iwcds.1994.289936

Cited by 12 publications

(9 citation statements)

References 18 publications

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“…In the first study, we evaluated the achieved system's availability with the proposed dynamic replication control based on components' significance and with a static offline approach in which the components to replicate and their number of replicas is fixed by the system's designer at a coalition's initialisation phase [17]. At each simulation run, if the primary replica of a component c i failed during operation, a new primary was selected among the set of passive backups.…”

Section: Discussionmentioning

confidence: 99%

“…This involves the study of mechanisms to determine which components should be replicated, the quantity of replicas to be made, and where to deploy such replicas [17]. As such, the benefits of replication in open dynamic resourceconstrained environments are a complex function of the number of replicas, the placement of those replicas, the selected replica consistency protocol, and the availability and performance characteristics of the nodes and networks composing the system.…”

Section: Towards a Flexible And Adaptive Replication Controlmentioning

confidence: 99%

“…Two gross measures of the reliability of a node are its Mean Time To Failure (MTTF) and its Mean Time To Recovery (MTTR) [17]. We propose to use those measures to dynamically allocate the set of replicas of a component c i based on the expected availability of nodes in the system.…”

Section: Towards a Flexible And Adaptive Replication Controlmentioning

confidence: 99%

See 2 more Smart Citations

Flexible and Dynamic Replication Control for Interdependent Distributed Real-Time Embedded Systems

Nogueira¹,

Pinho²,

Coelho

2010

Distributed, Parallel and Biologically Inspired Systems

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Section: Discussionmentioning

confidence: 99%

Section: Towards a Flexible And Adaptive Replication Controlmentioning

confidence: 99%

See 1 more Smart Citation

Flexible and Dynamic Replication Control for Interdependent Distributed Real-Time Embedded Systems

Nogueira¹,

Pinho²,

Coelho

2010

Distributed, Parallel and Biologically Inspired Systems

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“…As we have shown in [7], determining object interdependencies when replicating objects is also important when attempting to ensure that the (replicated) objects provide a required quality of service. However, the group view information as previously described does not reflect any object inter-dependencies; each group view is used in isolation, and simultaneous reconfigurations to multiple views, for example to modify a composite object and its constituent objects, must be performed at the application level.…”

Section: Enhanced Modelmentioning

confidence: 99%

“…There are several issues which arise when determining the number and location of replicas and there is often a trade-off between availability and performance [6] [7]. For example, information about the failure characteristics of the components in the distributed system and the readlwrite ratio of interactions with the object, can be important in the determination of the replication configuration.…”

Section: Introductionmentioning

confidence: 99%

Using application specific knowledge for configuring object replicas

Little

Shrivastava

Proceedings of International Conference on Configurable Distributed Systems

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I n distributed systems, object replication is used 10 improve the availabili8 and performance of a plications in the presence of failures. hen determining the con{ uration of a replicated object (i.e., number and location of replicas? a number of often conflicting factors need to be considered, e.g., the availability and performance requirements of the object. However, a plication specific knowledge about the objects, such as any inter-&pendencies, is typically not accounted for. In man applications this in ormation can a ect an typically ive users only basic control over the configuration o a re licas. Expressing application s ecific knowledge is not possible.d have designed and iinplementec?a replication sub-system allowing ap lications to control these aspects of replication. This system al&ws the elfficient replication of an arbitrary number of objects with. arbitrary interdependencies.

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Increasing the Expressiveness of Analytical Performance Models for Replicated Databases

Nicola

Jarke

1999

Lecture Notes in Computer Science

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Abstract. The vast number of design options in replicated databases requires efficient analytical performance evaluations so that the considerable overhead of simulations or measurements can be focused on a few promising options. A review of existing analytical models in terms of their modeling assumptions, replication schemata considered, and network properties captured, shows that data replication and intersite communication as well as workload patterns should be modeled more accurately. Based on this analysis, we define a new modeling approach named 2RC (2-dimensional replication model with integrated communication). We derive a complete analytical queueing model for 2RC and demonstrate that it is of higher expressiveness than existing models. 2RC also yields a novel bottleneck analysis and permits to evaluate the trade-off between throughput and availability.

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The Replica Management System: a scheme for flexible and dynamic replication

Cited by 12 publications

References 18 publications

Flexible and Dynamic Replication Control for Interdependent Distributed Real-Time Embedded Systems

Flexible and Dynamic Replication Control for Interdependent Distributed Real-Time Embedded Systems

Using application specific knowledge for configuring object replicas

Increasing the Expressiveness of Analytical Performance Models for Replicated Databases

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