Incremental Elasticity for NoSQL Data Stores

Antonis Papaioannou, K. Magoutis
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引用次数: 1

Abstract

Service elasticity, the ability to rapidly expand or shrink service processing capacity on demand, has become a first-class property in the domain of infrastructure services. Scalable NoSQL data stores are the de-facto choice of applications aiming for scalable, highly available data persistence. The elasticity of such data stores is still challenging, due to the complexity and performance impact of moving large amounts of data over the network to take advantage of new resources (servers). In this paper we propose incremental elasticity, a new mechanism that progressively increases processing capacity in a fine-grain manner during an elasticity action by making sub-sections of the transferred data available for access on the new server, prior to completing the full transfer. In addition, by scheduling data transfers during an elasticity action in sequence (rather than as simultaneous transfers) between each pre-existing server involved and the new server, incremental elasticity leads to smoother elasticity actions, reducing their overall impact on performance.
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NoSQL数据存储的增量弹性
服务弹性,即根据需求迅速扩大或缩小服务处理能力的能力,已成为基础设施服务领域的一流属性。可伸缩的NoSQL数据存储是旨在实现可伸缩、高可用性数据持久性的应用程序的实际选择。由于在网络上移动大量数据以利用新资源(服务器)的复杂性和性能影响,此类数据存储的弹性仍然具有挑战性。在本文中,我们提出了增量弹性,这是一种新机制,通过在完成完整传输之前,将传输数据的子部分提供给新服务器访问,从而在弹性操作期间以细粒度方式逐步增加处理能力。此外,通过在每个预先存在的服务器和新服务器之间按顺序(而不是同时)调度弹性操作期间的数据传输,增量弹性可以使弹性操作更平滑,从而降低它们对性能的总体影响。
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