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首页> 外文期刊>Journal of supercomputing >Dynamic replication factor model for Linux containers-based cloud systems
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Dynamic replication factor model for Linux containers-based cloud systems

机译：基于Linux容器的云系统动态复制因子模型

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摘要

Infrastructure-as-a-service container-based virtualization is gaining interest as a platform for running distributed applications. With increasing scale of cloud architectures, faults are becoming a frequent occurrence, which makes availability true challenge. Replication is a method to survive failures whether of checkpoints, containers or data to increase their availability. In fact, following a node failure, fault-tolerant cloud systems restart failed containers on a new node from distributed images of containers (or checkpoints). With a high failure rate, we can lose some replicas. It is interesting to increase the replication factor in some cases and finding the trade-off between restarting all failed containers and storage overhead. This paper addresses the issue of adapting the replication factor and contributes with a novel replication factor modeling approach, which is able to predict the right replication factor using prediction techniques. These techniques are based on experimental modeling, which analyze collected data related to different executions. We have used regression technique to find the relation between availability and replicas number. Experiments on the Grid'5000 testbed demonstrate the benefits of our proposal to satisfy the availability requirement, using a real fault-tolerant cloud system.
机译：基于基于基于基于基于程序的容器的虚拟化是将兴趣作为运行分布式应用程序的平台。随着云架构的增加，故障频繁发生，这使得可用性是真正的挑战。复制是一种生存失败的方法，无论是检查点，容器还是数据，以提高其可用性。实际上，在节点发生故障之后，容错云系统从容器（或检查点）的分布式图像中的新节点上重新启动失败的容器。具有很高的故障率，我们可以失去一些复制品。在某些情况下增加复制因子并在重新启动所有失败的容器和存储开销之间找到权衡是有趣的。本文解决了调整复制因子的问题并用新型复制因子建模方法贡献，其能够使用预测技术预测正确的复制因子。这些技术基于实验建模，其分析与不同执行相关的收集数据。我们使用回归技术来找到可用性和副本编号之间的关系。 Grid'5000测试平台的实验表明了我们使用真正的容错云系统来满足可用性要求的提案的好处。

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