Uninterruptible Migration of Continuous Queries without Operator State Migration

Thao N. Pham, Nikos R. Katsipoulakis, Panos K. Chrysanthis, Alexandros Labrinidis
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引用次数: 8

Abstract

The elasticity brought by cloud infrastructure provides a promising solution for a data stream management system to handle its incoming workload, which can be highly variable: the system can scale out when heavily loaded, and scale in otherwise. In such a solution, the efficiency of the mechanism used to migrate a query from one node to another is very important. Generally, a stream application requires real-time outputs for its continuous queries, and downtime is not acceptable. Moreover, the migration should not add considerable processing cost to a node that could have been already overloaded. In this paper, we present our migration protocol, named UniMiCo, which satisfies those requirements. We implemented UniMiCo in a DSMS prototype and experimentally show that the protocol preserves correctness, while introducing no noticeable changes in the response time of the continuous query being migrated.
无操作符状态迁移的连续查询的不间断迁移
云基础设施带来的弹性为数据流管理系统处理传入的工作负载提供了一个很有前途的解决方案,这些工作负载可能是高度可变的:系统可以在负载过重时向外扩展,否则向内扩展。在这种解决方案中,用于将查询从一个节点迁移到另一个节点的机制的效率非常重要。通常,流应用程序需要为其连续查询提供实时输出,而停机是不可接受的。此外,迁移不应该给已经超载的节点增加相当大的处理成本。在本文中,我们提出了我们的迁移协议,命名为UniMiCo,它满足了这些需求。我们在一个DSMS原型中实现了UniMiCo,实验表明该协议保持了正确性,同时在迁移的连续查询的响应时间上没有引入明显的变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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