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Query Quality of Service Management Based on Data Relationship over Real-Time Data Stream Systems

机译:实时数据流系统中基于数据关系的服务质量查询管理

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Many real-time applications and data services in distributed environments need to operate on continuous unbounded data streams with the development of large wired and wireless sensor network. Conventional one-time queries cannot be suitable to provide continues results as data and update stream into the system, and continuous queries represent a new paradigm for interacting with dynamically changing data. At the same time, many real-time applications have inherent timing constraints in their tasks, so providing data objects deadline guarantees for continuous queries over dynamic data streams is a challenging problem. A novel performance metric and quality of service management scheme continuous queries over dynamic data streams are proposed to guarantee system performance based on relationship of all updated data items. Experimental simulations demonstrate that the presented algorithm can guarantee the performance and decrease miss ratios of queries for dynamic workload fluctuations especially transient overloads.
机译:随着大型有线和无线传感器网络的发展,分布式环境中的许多实时应用程序和数据服务需要在连续的无限制数据流上运行。传统的一次性查询不适用于在数据和更新流向系统中提供连续结果的同时,连续查询代表了与动态变化的数据进行交互的新范例。同时,许多实时应用程序在其任务中具有固有的时序约束,因此为动态数据流上的连续查询提供数据对象期限保证是一个具有挑战性的问题。提出了一种新颖的性能指标和服务质量管理方案,对动态数据流进行连续查询,以基于所有更新数据项之间的关系来保证系统性能。实验仿真表明,对于动态工作量波动,尤其是瞬时过载,该算法可以保证性能并降低查询的遗漏率。

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