Performance Evaluation of a Metaprotocol for Database Replication Adaptability

Ruiz-Fuertes, M. I.; Muñoz-Escoí, Francesc D.

doi:10.1109/srds.2009.34

Cited by 4 publications

(2 citation statements)

References 13 publications

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“…Regular adaptability does not necessarily imply that the target of those reconfigurations will be always scalability on size. For instance, Miedes and Muñoz-Escoí [74] and Ruiz-Fuertes and Muñoz-Escoí [94] propose adaptable meta-protocols that manage multiple multicast or replication protocols, respectively. The resulting systems are adaptable since their users or administrators may select, when needed, the most appropriate protocol for the current workload.…”

Section: Adaptabilitymentioning

confidence: 99%

A survey on elasticity management in PaaS systems

Muñoz-Escoí

Bernabéu-Aubán

2016

Computing

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Elasticity is a goal of cloud computing. An elastic system should manage in an autonomic way its resources, being adaptive to dynamic workloads, allocating additional resources when workload is increased and deallocating resources when workload decreases. PaaS providers should manage resources of customer applications with the aim of converting those applications into elastic services. This survey identifies the requirements that such management imposes on a PaaS provider: autonomy, scalability, adaptivity, SLA awareness, composability and upgradeability. This document delves into the variety of mechanisms that have been proposed to deal with all those requirements. Although there are multiple approaches to address those concerns, providers' main goal is maximisation of profits. This compels providers to look for balancing two opposed goals: maximising quality of service and minimising costs. Because of this, there are still several aspects that deserve additional research for finding optimal adaptability strategies. Those open issues are also discussed.

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Section: Adaptabilitymentioning

confidence: 99%

A survey on elasticity management in PaaS systems

Muñoz-Escoí

Bernabéu-Aubán

2016

Computing

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“…However, none of these approaches investigated the issues related to adapt the replication scheme. Even though the work in [36] presents a meta-protocol for switching between replication schemes, it does not provide a mechanism to autonomically determine the most appropriate scheme for the current conditions.…”

Section: Related Workmentioning

confidence: 99%

Chasing the Optimum in Replicated In-Memory Transactional Platforms via Protocol Adaptation

Couceiro

Ruivo

Romano

et al. 2015

IEEE Trans. Parallel Distrib. Syst.

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Replication plays an essential role for in-memory distributed transactional platforms, given that it represents the primary means to ensure data durability. Unfortunately, no single replication technique can ensure optimal performance across a wide range of workloads and system configurations. This paper tackles this problem by presenting MORPHR, a framework that allows to automatically adapt the replication protocol of in-memory transactional platforms according to the current operational conditions. MORPHR presents two key innovative aspects. On one hand, it allows to plug in, in a modular fashion, specialized algorithms to regulate the switching between arbitrary replication protocols. On the other hand, MORPHR relies on state of the art machine learning techniques to autonomously determine the best replication in face of varying workloads. We integrated MORPHR in an open-source in-memory NoSQL data grid, and evaluated it by means of an extensive experimental study. The results highlight that MORPHR is accurate in identifying the best replication strategy in presence of complex realistic workloads, and does so with minimal overhead.

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