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Discovering services with restricted location scope in ubiquitous environments

机译:在普适环境中发现位置范围受限的服务

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For more than a decade pervasive and ad-hoc computing have captured the imagination of the research community. The systems challenges they pose have been the focus of much research in the area. In recent years, as a result of these efforts a variety of middleware platforms and abstractions for pervasive and ad-hoc computing have been proposed aiming to address the identified challenges. Besides the pervasive and ad-hoc computing vision, this work is also motivated by a belief that underpinning middleware mechanisms are central in weaving together the multitude of sensing, computing, communication and information technologies driving developments in this area. However, despite significant progress in this area, a number of challenges remain. >Proposed middleware platforms tend to focus on only some of the issues, e.g. location and context-awareness, reputation and trust managements systems, leaving others open. How these separate platforms are to be composed and interoperate to realise the pervasive computing vision is still a challenge. How to introduce autonomic capabilities to the individual platforms and their compositions remains unclear. At the same time, the proposed models and abstractions that these platforms incorporate are still lacking in theoretical rigour and foundation to allow formal analysis of their properties. Moreover, as the number of these models, abstractions and infrastructure components increases, the need emerges to develop appropriate frameworks for the comparative evaluation of alternative proposals both from the point of view of application developers and the operators of the infrastructure. Such evaluations require the development of benchmarks for pervasive and ad-hoc computing systems. Within this context the MPAC2007 workshop building on the success of the 2003, 2004, 2005 and 2006 workshops, sought to further develop the roadmap for research on the essential middleware abstractions and infrastructures for ad-hoc and pervasive computing. In addition to this, the workshop also continues to play an important role as a venue for discussing novel middleware abstractions and infrastructures. >This year the workshop received a high number of quality submissions. Eleven papers out of the twenty eight originally submitted were chosen for these proceedings. These papers cover a broad range of issues including service orientation and discovery, support for self-* properties, event-based systems for pervasive environments and sensor networks, privacy management, and reasoning for context-awareness and situation recognition. More specifically, Dimitrov et al. propose a probability reasoning framework for context-awareness in smart homes, while Holzmann proposes a rule-base reasoning approach for recognition of complex spatiotemporal situations of artefacts. Taherian and Bacon describe a state-base publish/subscribe framework for multi-user sensor networks, while Selim et al. introduce a replication based type and attribute oriented event-based middleware over a structured peer-to-peer network. Chen and Lukkien describe an overlay architecture for secure service orchestration within service-oriented virtual communities, and Bonino da Silva Santos et al. propose a service-oriented middleware providing support for context-awareness. Edwards et al. identify the challenges that self-* properties pose in pervasive computing and how commonly used strategise like dynamic software update, service discovery, transparent replication and logical mobility are deployed to address them, while Cheung-Foo-Wo et al. describe a middleware based on an event-driven software component model with a schema-based self-adaptive architecture for distributed services composition. Trinta et al. evaluate a role playing games developed on top of a service-oriented middleware for cross-media games. Viterbo et al. describe a discovery service based on the notion geographic location scope. Finally, Wakeman et al. propose a scheme for managing privacy in trust management with pseudonymous group membership.
机译:十多年来,普适计算已经吸引了研究界的想象。它们带来的系统挑战一直是该领域许多研究的重点。近年来,由于这些努力,已经提出了各种普适和即席计算的中间件平台和抽象,旨在解决已确定的挑战。除了普遍存在的即席计算愿景外,这项工作还受到一种信念的推动,即支撑中间件机制在将驱动该领域发展的多种传感,计算,通信和信息技术编织在一起的过程中至关重要。但是,尽管在这一领域取得了重大进展,但仍然存在许多挑战。

建议的中间件平台往往只关注某些问题,例如位置和上下文感知,声誉和信任管理系统,而其他系统则保持开放状态。如何将这些独立的平台组成和互操作以实现普适计算愿景仍然是一个挑战。尚不清楚如何将自主功能引入各个平台及其组成。同时,这些平台包含的建议模型和抽象仍然缺乏理论上的严谨性和基础,无法对其特性进行形式化分析。此外,随着这些模型,抽象和基础架构组件的数量增加,从应用程序开发人员和基础架构运营商的角度出发,都需要开发适当的框架,以对替代提案进行比较评估。此类评估需要为普适计算系统和即席计算系统开发基准。在此背景下,以2003、2004、2005和2006年研讨会的成功为基础的MPAC2007研讨会试图进一步制定研究路线图,以研究针对临时和普适计算的基本中间件抽象和基础架构。除此之外,该研讨会还在继续发挥重要作用,成为讨论新颖的中间件抽象和基础设施的场所。

今年,该研讨会收到了大量高质量的论文。在最初提交的28篇论文中,有11篇论文被选中进行这些程序。这些论文涵盖了广泛的问题,包括面向服务和发现,对自*属性的支持,用于普适环境和传感器网络的基于事件的系统,隐私管理以及上下文感知和情况识别的推理。更具体地说,Dimitrov等。 Holzmann提出了一种基于规则的推理方法来识别复杂的时空情况,从而为智能家居中的情境感知提供了一种概率推理框架。 Taherian和Bacon描述了一个用于多用户传感器网络的基于状态的发布/订阅框架,而Selim等人则描述了该框架。在结构化的对等网络上引入基于复制的类型和面向属性的基于事件的中间件。 Chen和Lukkien描述了用于面向服务的虚拟社区中的安全服务编排的覆盖体系结构,Bonino da Silva Santos等人。提出一种面向服务的中间件,为上下文感知提供支持。爱德华兹等。 Cheung-Foo-Wo等人发现了自我*属性在普适计算中所面临的挑战,以及如何部署诸如动态软件更新,服务发现,透明复制和逻辑移动性等常用策略来应对这些挑战。描述基于事件驱动软件组件模型的中间件,该中间件具有用于分布式服务组合的基于模式的自适应体系结构。 Trinta等。评估在跨媒体游戏的面向服务的中间件之上开发的角色扮演游戏。 Viterbo等。描述基于概念地理位置范围的发现服务。最后,Wakeman等。提出了一种用于具有匿名组成员身份的信任管理中的隐私管理方案。

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