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Mobile crowd sensing (MCS) is a novel class of mobile Internet of Things (IoT) applications for community sensing where sensors and mobile devices jointly collect and share data of interest to observe phenomena over a large geographic area. The inherent device mobility and high sensing frequency has the capacity to produce dense and rich spatiotemporal information about our environment, but also creates new challenges due to device dynamicity and energy constraints, as well as large volumes of generated raw sensor data which need to be processed and analyzed to extract useful information for end users. The paper presents an ecosystem for mobile crowd sensing which relies on the CloUd-based PUblish/Subscribe middleware (CUPUS) to acquire sensor data from mobile devices in a flexible and energy-efficient manner and to perform near real-time processing of Big Data streams. CUPUS has unique features compared to other MCS platforms: It enables management of mobile sensor resources within the cloud, supports filtering and aggregation of sensor data on mobile devices prior to its transmission into the cloud based on global data requirements, and can push information of interest from the cloud to user devices in near real-time. We present our experience with implementation and deployment of an MCS application for air quality monitoring built on top of the CUPUS middleware. Our experimental evaluation shows that CUPUS offers scalable processing performance, both on mobile devices and within the cloud, while its data propagation delay is mainly affected by transmission delay on wireless links. 相似文献
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Data sharing is pivotal in current medical practice so as to better treat patients by taking the best medical decisions, and to optimize healthcare costs by reducing the need to repeat unnecessary medical tests and by better managing healthcare structures. To improve the delivery of treatment outcomes and test results, the request-triggered retrieval of clinical documents provided by current Health Information Systems is not sufficient. The addition of a notification solution is necessary to inform users as soon as their clinical documents of interest have been produced so that they can retrieve them by means of the traditional Health Information Systems. In addition, this notification solution also has to implement the event-based information exchange patterns, which characterize the current attempts at integrating heterogeneous Health Information Systems in a seamless manner.This paper proposes an architecture for an effective asynchronous notification of clinical documents. Our intention is to bridge the gap between primary and secondary care, and between the clinical personnel and the administrators. The proposed solution is based on a publish/subscribe service, properly extended to allow us to jointly notify collections of correlated documents. Moreover, it has been implemented by means of a web service-based platform in accordance with the Web Service Notification specification so as to obtain a solution easy to integrate and manage. A systematic analysis has been carried out to assess the suitability of the implemented solution to satisfy the requirements for notifying medical documents, and to evaluate the notification latency in different use conditions. 相似文献
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DDS是对象管理组织(OMG)推出的数据分发服务规范,专门针对分布式实时系统中基于数据的发布/订阅架构。本文研究了一种基于DDS模型的信息分发方法,然后通过一个例子演示了这种信息分发方法。该方法可很好的满足某平台系统对于数据传输的高可靠性、高实时性的要求。 相似文献
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基于JMS体系结构的消息服务技术的应用研究 总被引:7,自引:2,他引:7
根据企业应用程序间进行消息服务的实际需要,深入研究Java消息服务(Java Message Service,JMS)技术,结合其中的“发布/订阅式”和“点对点式”两种消息收发模式,提出了一个基于JMS体系结构的全新的消息服务模型,并针对股票交易系统中的报价“发布/订阅”服务功能的具体实现进行了详细的论述。 相似文献
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杨建武 《计算机工程与应用》2000,(11)
随着Internet技术的发展与应用的深入,特别是电子商务等深层次应用的迅速崛起,结构化地组织Internet上的信息,保持信息本身的结构与语义变得越来越重要.文章首先给出一种基于SGML/XML进行结构化信息组织与Internet信息发布的模型,并重点讨论了实现该模型的两个关键问题:SGML/XML信息的获取与信息的Internet发布.文中讨论的模型与关键问题对基于XML的应用系统具有很好的参考价值. 相似文献
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Push/Pull技术及在Domino上的实现 总被引:4,自引:0,他引:4
Pull是传统的信息传送模式,Push则是近年来得到迅速发展的与Pull相对的一种信息传送模式。该文对两种传送模式技术作了简要论述,并介绍了一个采用Push/Pull技术的系统的设计与实现。 相似文献