CRI:IAD: Infrastructure for Research in Spatio-Temporal and Context-Aware Systems and Applications

提案编号：CNS 07-08604 主要研究者：Tripathi，Anand Mokbel; Mohamed F.;沙希？谢哈尔 院校：明尼苏达大学双城分校Minneapolis，MN 55455- 5200 IAD：时空和上下文感知系统和应用研究的基础设施这个项目，获得用于评估分布式事件流处理架构，时空数据挖掘算法和支持大规模上下文感知系统的中间件架构的可扩展性的基础设施，响应日益增长的应用需求，利用时空上下文信息来丰富和增强移动的用户的计算环境。这种需求是由诸如需要基于用户的物理位置上下文（例如，黄页和基于位置的服务），提供基于位置的公共安全服务（例如，增强的911服务），并通过基于位置动态地适配用户的移动的计算设备上的应用程序来帮助用户跨不同空间的无缝移动性。构建这种上下文感知计算环境和应用的挑战源于开发应用的高度复杂性，这是由于需要集成不同种类的技术、基于上下文的安全和隐私要求、需要识别所需的相关资源和信息以及及时检测和查询上下文信息。基础设施有助于通过研究解决这些挑战。环境感知应用程序的编程环境和中间件体系结构。具有隐私保护技术的时空查询处理。时空资料探勘、剖析与预取方法。用于上下文检测的基于代理的分布式事件数据流处理。上下文信息为这些应用程序提供安全性和隐私。基于上下文的适应性时空数据挖掘。基于上下文信息检索的连续查询处理。编程抽象和中间件架构，用于从高级规范快速构建这些应用程序。更广泛的影响：基础设施推进知识，并有助于开发用于构建上下文感知应用程序的新软件基础设施。该项目积极寻求和鼓励代表性不足群体的学生参与，促进学生论文，并与IGERT倡议合作。

Proposal #: CNS 07-08604 PI(s): Tripathi, Anand Mokbel; Mohamed F.; Shekhar, Shashi Institution: University of Minnesota - Twin Cities Minneapolis, MN 55455-5200Title: IAD:Infrastructure for Research in Spatio-Temporal and Context-Aware Systems and ApplicationsThis project, acquiring infrastructure for evaluating distributed event stream processing architecture, spatio-temporal data mining algorithms, and scalability of middleware architectures for supporting large scale context aware systems, responds to the increasing demand for applications that exploit the spatio-temporal context information to enrich and augment mobile users' computing environments. This demand is motivated by factors such as the need to provide pertinent resources and information to users based on their physical location context (e.g., yellow pages and location-based services), provide location based public safety services (e.g., enhanced 911 services), and assist seamless mobility of users across different spaces by dynamically adapting the applications on their mobile computing devices based on the location. Challenges in building such context-aware computing environments and applications stem from the high complexity in developing applications due to the need of integration of different kinds of technologies, context-based security and privacy requirements, need to identify required pertinent resources and information, and timely detection and querying of context information. The infrastructure contributes to address these challenges through research in. Programming environments and middleware architectures for context-aware applications;. Spatio-temporal query processing with privacy preserving techniques,. Spatio-temporal data mining, profiling, and prefetching methods, and. Agent-based distributed event data stream processing for context detection.These synergistic projects use . Context information in providing security and privacy to these applications,. Spatio-temporal data mining for context-based adaptations, . Continuous query processing for context-based information retrieval, and. Programming abstractions and middleware architectures for rapid construction of these applications from their high level specifications.Broader Impacts: The infrastructure advances knowledge and contributes to develop new software infrastructure for building context-aware applications. The project actively seeks and encourages participation of students from under-represented groups, facilitates students' theses, and collaborates with an IGERT initiative.