泛在计算的自适应资源发现

R. Harbird, S. Hailes, C. Mascolo
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引用次数: 37

摘要

“普适计算”和“无处不在的计算”这两个术语用来描述由嵌入在周围环境中的数百个智能设备组成的智能空间。通常,无处不在的计算设备必须融入背景,不显眼地协作为用户提供增值服务。因此,服务对于这项技术的成功至关重要,因此,服务发现和服务管理将在产生收入流方面发挥至关重要的作用,而收入流是可持续的普遍部署的先决条件。一方面,所提供的服务的丰富性和多样性是显而易见的,另一方面,环境中固有的复杂性必须对用户隐藏起来。本文描述了一种用于普适计算的资源发现框架——RUBI。RUBI代表了一种新的资源发现方法,因为在其设计中建立了自适应自主行为的首要需求。
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Adaptive resource discovery for ubiquitous computing
The terms pervasive and ubiquitous computing are used to describe a smart space populated by hundreds of intelligent devices that are embedded in their surroundings. Characteristically, ubiquitous computing devices must blend into the background, unobtrusively collaborating to provide value-added services for users. Services are thus essential to the success of this technology and, as a result, both service discovery and service management will play a vital role in generating the revenue stream that is a prerequisite for sustainable ubiquitous deployment. On the one hand, the services provided should be evident by their richness and variety and on the other, the complexity inherent in the environment must be hidden from users. In this paper, we describe RUBI, a resource discovery framework for ubiquitous computing. RUBI represents a novel approach to resource discovery, because the primacy of the need for adaptive autonomic behaviour is established within its design.
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