基于上下文的自适应构件化中间件模型

由于普适计算环境越来越复杂对自适应软件开发要求越来越高,为了对普适计算环境下的自适应和构件化应用提供支持,提出了一种适用于普适计算环境的基于上下文的自适应构件化的CBACM中间件模型。最后,仿真实验结果表明了CBACM模型较传统中间件在自适应成功率、资源消耗和响应时间方面的优势。     

支持上下文感知的构件适配模型研究

为了对普适环境下的构件化应用提供支持,扩展传统的构件适配技术,在上下文感知中间件的基础上,提出支持上下文感知的构件适配模型CACAM和构件适配算法CACA,实现对环境、用户上下文的动态感知和重配置。实验结果表明,该模型能够有效地实现普适计算环境下基于上下文感知的构件适配。     

面向普适环境的上下文感知中间件研究

针对普适环境下上下文感知计算需求,引入广义模型化理论,建立了一种面向通用环境资源的上下文信息数据模型;在此基础上,提出了上下文感知中间件体系框架,并详细阐述了其构件化的实施方案。该中间件平台的上下文获取层能够封装各类感知器捕获的资源信息,中间处理层负责信息的管理、推理和聚合,基于门面模式的上下文访问层提供同步和异步相结合的上下文信息统一访问入口。通过实验测试了平台的时间损耗,表明该中间件可提供通用的上下文感知服务且具有较好的系统性能。     

面向普适计算的动态自适应中间件模型

为了提高普适计算系统的开发效率, 设计了一个基于OSGi框架的动态普适计算中间件模型. 该中间件模型以OSGi框架为基础, 建立移动管理器管理用户和服务的移动, 利用上下文管理器来管理上下文, 动态调整自己的行为, 支持上下文感知应用. 通过标准的接口实现各种异构普适设备间的互操作性. 实验结果表明该中间件能够满足通用普适计算环境的要求, 对于普适计算系统的开发具有一定的借鉴意义.     

一种普适医疗环境下的上下文感知中间件

普适医疗环境具有异构设备多且需动态加入或退出、医疗术语关联复杂等特点,现有上下文感知中间件在上下文发现和接入、上下文知识管理等方面尚有不足。基于本体对上下文信息建模和推理,提出一种适用于普适医疗环境的上下文感知中间件,该中间件采用集中式架构、用UPnP作为上下文发现和接入方法,还讨论了该中间件在智能病房典型场景中的应用。     

普适计算中间件技术

普适计算中间件通过软件基础设施重用支持上层应用的高效开发和便捷运行,是普适计算领域的研究热点。对普适计算中间件设计挑战进行了归纳,从上下文管理、中间件层自适应、面向自适应的公共服务和自适应软件体系结构支持等方面总结、阐述和分析了普适计算中间件的各项关键技术,分类介绍了主要普适计算中间件项目,给出了未来研究发展趋势。     

支持感知上下文网络操作平台中间件的研究

普适计算的出现将大大改变人类与各种设备交互的方式。支持感知上下文计算的网络操作平台是普适计算环境下重要的应用支撑平台,为基于传感器网络的应用提供操作服务。操作平台以中间件为核心,采用XMLWebServices技术。文章以满足包括智能家居普适上下文应用需求的网络操作平台为基础,介绍该网络操作平台的机制、层次结构和数据模型的研究,并实现了基于该平台模型的XMLWebServices中间件应用方案。     

普适计算环境下基于中间件的上下文质量管理框架研究

随着信息技术的快速发展,分布式计算技术逐渐向普适计算技术演化,从而达到信息空间和物理空间融合的最终目标,为用户提供普适的智能化服务。为了达到这个目标,一个主要的困难就是如何有效地连续监测、才甫获与解释环境相关的上下文信息来确保精确的上下文感知性。很多研究者已先后投身于上下文感知的普适应用的研究工作中,但大多数往往直接针对原始上下文进行处理,没有考虑上下文质量(QoC)的影响。因此,提出了一种基于中间件的上下文质量管理框架,即通过上下文的质量门阂管理、重复与不一致的上下文丢弃等不同层次的控制机制,为上下文感知服务和应用用户提供有效而可靠的上下文服务。     

策略驱动的软件自适应机制研究

中间件是支持和实现软件自适应的重要手段。除了内建于中间件的通用自适应机制外,中间件还应当为应用相关的自适应过程提供开发和运行支持。以普适计算为背景,基于关注点分离原则,引入策略对软件自适应过程进行抽象描述,提出了基于策略的软件自适应概念模型,进而提出了适应使能、基层和元层分离的轻量级构件化实现模型。基于上述模型,在面向普适计算的自适应中间件平台UbiStar中设计实现了一种基于策略的软件自适应框架,可以支持基于上述模型的普适计算应用的开发和运行,从而为应用相关的软件自适应过程提供有效支持。     

普适计算环境下基于分层Agent的上下文共享模型研究

随着无线网络、移动计算和传感器网络等技术的发展,普适计算的实现逐渐变成可能.普适计算的研究涵盖中间件、移动计算、人机交互、嵌入式技术、传感器等领域,要解决包括扩展性、异构性、构件集成、上下文感知和不可见性在内的关键问题.这些问题中,上下文感知又是重中之重,它使普适计算设备能智能化地解析和使用上下文信息,并根据上下文信息的变化进行动态自适应地调整.现有的大多数上下文感知的研究往往集中于针对上下文信息的适配上,没有考虑如何高效地收集上下文信息.而少数针对上下文收集的研究也只围绕外界环境中部署的传感器信息收集,从而使具有相同上下文信息敏感性的设备将独立而重复地进行上下文收集的工作.因此,本文拓展了传统的上下文收集的途径,并在当前已有的3种上下文共享模型的基础上提出了一种基于分层Agent的上下文共享模型,通过Agent技术和组机制的结合,使用户不仅能从传感器处收集上下文,还能从具有共同兴趣和爱好的用户处获得共享上下文,从而达到了消除冗余上下文收集、提高设备效能的目的.     

The SATIN Component System-A Metamodel for Engineering Adaptable Mobile Systems

Mobile computing devices, such as personal digital assistants and mobile phones, are becoming increasingly popular, smaller, and more capable. We argue that mobile systems should be able to adapt to changing requirements and execution environments. Adaptation requires the ability-to reconfigure the deployed code base on a mobile device. Such reconfiguration is considerably simplified if mobile applications are component-oriented rather than monolithic blocks of code. We present the SATIN (system adaptation targeting integrated networks) component metamodel, a lightweight local component metamodel that offers the flexible use of logical mobility primitives to reconfigure the software system by dynamically transferring code. The metamodel is implemented in the SATIN middleware system, a component-based mobile computing middleware that uses the mobility primitives defined in the metamodel to reconfigure both itself and applications that it hosts. We demonstrate the suitability of SATIN in terms of lightweightedness, flexibility, and reusability for the creation of adaptable mobile systems by using it to implement, port, and evaluate a number of existing and new applications, including an active network platform developed for satellite communication at the European space agency. These applications exhibit different aspects of adaptation and demonstrate the flexibility of the approach and the advantages gained     

一种普适计算环境下自适应中间件

普适计算环境固有的内在复杂性对当前的基础软件提出了新的挑战,迫切需要一种具有感知和自适应能力的中间件.提出了一个由接口、框架和情境元模型组成的自适应中间件,给出了在CAR构件平台上的设计与实现.为获取构件信息和对外提供服务,接口元模型支持同步和异步接口.情境元模型在构件对象内建模情境信息,计算实体间以基于异步事件通知方式交互.框架元模型分类和管理构件,随着运行时计算环境的变化动态改变中间件的结构和行为.软件实体感知环境的变化,实体间以松耦合的方式交互,动态改变自身的结构和行为,满足普适计算环境下的动态自适应需求.     

A pluggable middleware architecture for developing context-aware mobile applications

The proliferation of powerful smartphone devices provides a great opportunity for context-aware mobile applications becoming mainstream. However, we argue that conventional software development techniques suffer because of the added complexity required for collecting and managing context information. This paper presents a component-based middleware architecture which facilitates the development and deployment of context-aware applications via reusable components. The main contribution of this approach is the combination of a development methodology with the middleware architecture, which together bring significant value to developers of context-aware applications. Further contributions include the following: The methodology utilizes separation of concerns, thus decreasing the developmental cost and improving the productivity. The design and implementation of context-aware applications are also eased via the use of reusable components, called context plug-ins. Finally, the middleware architecture facilitates the deployment and management of the context plug-ins in a resource-aware manner. The proposed methodology and middleware architecture are evaluated both quantitatively and qualitatively.     

Critical issues in the development of component-based discrete simulation

The development of computer simulation methods has proceeded in parallel with those in other areas of computing. Thus, interest in component-based approaches is evident both in general software engineering and in computer simulation, with advocates arguing that component-based approaches are far superior to more conventional ways of developing software and applications. Potential benefits are reduced cost and development time arising from reuse of components, as well as easier model adaptation due to the features of extensibility and evolvability. If these are to be realised, then organisations must develop ways to ensure that costs and benefits are shared and should ensure that suitable libraries and component distribution frameworks are available. In a simulation context it is also crucial to ensure that the issue of model credibility and validity is addressed even if the components are thought valid.     

A comprehensive solution for application‐level adaptation

Driven by the emergence of mobile and pervasive computing there is a growing demand for context‐aware software systems that can dynamically adapt to their run‐time environment. We present the results of project MADAM that has delivered a comprehensive solution for the development and operation of context‐aware, self‐adaptive applications. The main contributions of MADAM are (a) a sophisticated middleware that supports the dynamic adaptation of component‐based applications, and (b) an innovative model‐driven development methodology that is based on abstract adaptation models and corresponding model‐to‐code transformations. MADAM has demonstrated the viability of a general, integrated approach to application‐level adaptation. We discuss our experiences with two real‐world case studies that were built using the MADAM approach. Copyright © 2008 John Wiley & Sons, Ltd.     

支持上下文感知应用程序的动态自适应中间件框架

上下文感知计算是当前开发和部署智能应用不可或缺的关键技术之一。上下文能否在计算中真正发挥其作用,主要取决于两方面：一是如何连续稳定地从动态交互环境中获取高质量上下文,二是如何推理上下文并制定适应决策。为了实现上述目标,设计了一个分层的中间件框架,该中间件能够根据上下文质量参数,动态地选择能提供高质量上下文的信息源,并对这些原始上下文进行预处理和推理,进而自动地制定适应决策为用户提供合适的服务。实验测试了平台的性能,并与同类系统进行了比较,结果表明该中间件能够快速有效地支持上下文感知应用的开发部署,并且在计算性能方面有显著提高。     

MIMOSA: context-aware adaptation for ubiquitous web access

The ubiquitous computing scenario is characterized by heterogeneity of devices used to access services, and by frequent changes in the user’s context. Hence, adaptation according to the user’s context and the used devices is necessary to allow mobile users to efficiently exploit Internet-based services. In this paper, we present a distributed framework, named MIMOSA, that couples a middleware for context-awareness with an intermediary-based architecture for content adaptation. MIMOSA provides an effective and efficient solution for the adaptation of Internet services on the basis of a comprehensive notion of context, by means of techniques for aggregating context data from distributed sources, deriving complex contextual situations from raw sensor data, evaluating adaptation policies, and solving possible conflicts. The middleware allows programmers to modularly build complex adaptive services starting from simple ones, and includes tools for assisting the user in declaring her preferences, as well as mechanisms for detecting incorrect system behaviors due to a wrong choice of adaptation policies. The effectiveness and efficiency of MIMOSA are shown through the development of a prototype adaptive service, and by extensive experimental evaluations.     

An energy-efficient object discovery protocol for context-sensitive middleware for ubiquitous computing

Many ubiquitous computing applications may be context-sensitive due to the ambient environments, mobile devices, and other detectable factors. A context-sensitive middleware provides the necessary support to context-sensitive application objects to participate in spontaneous and ad hoc communications with other applications in remote devices whenever suitable contexts exist. A context-sensitive middleware can provide this support effectively if its communication subsystem, such as an Object Request Broker (ORB), can properly discover other objects in devices. This capability is usually known as object discovery protocol. An energy-efficient object discovery protocol is needed to help prolong a device's battery life because many devices in ubiquitous computing environments are battery-powered and, thus, have limited energy sources. An energy-efficient object discovery protocol, RKS, for context-sensitive middleware for ubiquitous computing is presented. RKS reduces energy consumption by reducing the amount of information that needs to be sent to remote devices to discover objects. A novel feature of RKS is that it advertises its server-objects' availability only when it detects that these servers can be activated in the current context and when it finds that the neighbor devices have some potential clients that are willing to discover objects. Analytical comparisons of the energy-consumptions are given between RKS and two other protocols for object discovery in context-sensitive middleware. Furthermore, our experimental results, based on the implementations of these protocols and RKS on a context-sensitive middleware test bed, confirm our analytical results in that the RKS conserves more energy than the other two.