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Automated operator placement in distributed Data Stream Management Systems subject to user constraints

机译:自动操作员放置在分布式数据流管理系统中,受用户约束

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Traditional distributed Data Stream Management Systems assign query operators to sites by optimizing for some criterion such as query throughput, or network delay. The work presented in this paper begins to augment this traditional operator placement technique by allowing the user issuing a continuous query to specify a variety of constraints — including collocation, upstream/downstream, and tag- or attribute-based constraints — controlling operator placement within the query network. Given a set of constraints, operators, and sites; four strategies are presented for optimizing the operator placement. An optimal brute force algorithm is presented first for smaller cases, followed by linear programming, constraint satisfaction, and local search strategies. The four methods are compared for speed, accuracy, and efficiency, with constraint satisfaction performing the best, and allowing assignments to be adapted on the fly by the DDSMS.
机译:传统的分布式数据流管理系统通过优化某些标准(例如查询吞吐量或网络延迟)将查询运算符分配给站点。本文中所呈现的工作开始通过允许用户发出连续查询来指定各种约束 - 包括搭配,上游/下游和基于标签或基于属性的约束 - 控制操作员放置的各种约束 - 控制操作员放置查询网络。给定一组约束,运营商和网站;提供了四种策略,以优化操作员安置。首先为较小的情况提供最佳的蛮力算法,然后是线性编程,约束满足和本地搜索策略。比较四种方法以比较速度,准确性和效率,具有最佳约束满足,并允许分配通过DDSMS在飞行中调整。

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