CSR: Small: Collaborative Research: Systematic Approaches for Real-Time Stream Data Services

交通管理、军事监控、网络监控等数据密集型实时应用需要及时处理海量的流数据。由于严格的时序限制、潜在的无限连续流数据、突发流数据到达以及由于数据值变化而导致的工作负载变化，支持实时流数据服务(RTSD)是具有挑战性的。该项目将为RTSDS开发具有成本效益的方法和运行时系统。该项目将系统地研究支持实时连续查询的方法和工具，即使在存在动态工作负载的情况下也是如此。具体地说，该项目将研究a)实时连续查询建模，b)新的性能度量设计，c)自适应查询调度设计，d)延迟控制和负载减轻，针对单节点和集群RTSD。该项目还将进行原型实施和试验台评估。实时流数据服务(RTSDS)在智能交通、绿色建筑、智能电网管理、军事监控和网络监控等新兴应用中发挥着重要作用。我们的日常生活高度依赖于这些应用程序。RTDS是开发具有重大社会经济影响的关键数据密集型实时应用的基础技术。该项目将为建立实时监测和监测系统建立科学基础和相关的工程原理。该项目将为本科生和研究生提供极好的机会，获得在实时可持续发展教育中的实践经验和理论背景。PIS将与学生密切合作，开展这一项目的研究。通过这个项目，PIS将训练学生在分析和实施方面的能力，并帮助他们解决RTSDS中具有挑战性的问题。

Data-intensive real-time applications, such as transportation management, military surveillance, and network monitoring, need to handle massive amounts of stream data in a timely fashion. It is challenging to support real-time stream data services (RTSDS) due to stringent timing constraints, potentially unbounded continuous stream data, bursty stream data arrivals, and workload variations due to data value changes. This project will develop cost-effective methods and a runtime system for RTSDS. The project will systematically investigate methods and tools to support real-time continuous queries for RTSDS even in the presence of dynamic workloads. Specifically, the project will study a) real-time continuous query modeling, b) new performance metric design c) adaptive query scheduling design, d) tardiness control and load shedding, for both single node and clustered RTSDS. The project will also have prototype implementation and testbed evaluations. The results and findings of this project will advance and seamlessly integrate real-time computing and stream data management.Real-time stream data services (RTSDS) play an important role in many emerging application including intelligent transportation, green buildings, smart grid management, military surveillance, and network monitoring. Our everyday lives are highly dependent on these applications. RTSDS is a fundamental technology for developing critical data-intensive real-time applications with great socio-economic impacts. The project will develop the scientific foundations and associated engineering principles for building RTSDS. The project will provide excellent opportunities for undergraduate and graduate students to acquire hands-on experience as well as theoretical backgrounds in RTSDS. The PIs will work closely with students to carry out the research in this project. Through this project, the PIs will train students to become strong in both analytical and implementation skills, and help them solve challenging problems in RTSDS.