面向以实体为中心的广域上下文发现

Florian Fuchs, Dominik Berndl, G. Treu
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引用次数: 2

摘要

移动计算由于用户的移动性,导致同一项服务的使用情况不同。上下文感知服务(Context - aware services, CASs)试图利用有关当前使用情况的信息,以便更好地满足用户的需求。特别是在大规模的情况下,CASs面临着发现适当的上下文信息服务(csi)的问题,这些服务能够提供关于特定实体的特定类型的上下文信息。但是,csis和实体之间的映射是高度动态的,特别是当实体是移动的,而csis只有有限的覆盖区域时。需要新的机制以可扩展、健壮和分散的方式组织css及其当前覆盖的实体,以便在需要时可以被(可能是移动的)CASs发现。作为一种可能的解决方案,我们提出了一个基于分布式哈希表的以实体为中心的广域上下文发现服务的设计。它不需要专用的基础设施,并且本体用于实现互操作性。该概念通过基于OpenDHT基础架构的原型进行评估。实验结果证明了该方法的可行性和有效性。
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Towards Entity-Centric Wide-Area Context Discovery
Mobile computing leads to different usage situations for the same service due to the mobility of the user. Context aware services (CASs) try to exploit information about the current usage situation in order to better satisfy the user's needs. Especially on a large-scale, CASs face the problem of discovering appropriate context information services (CISs), which are capable of delivering a particular type of context information about a particular entity. The mapping between CISs and entities, however, is highly dynamic, especially when entities are mobile and CISs have only limited coverage areas. New mechanisms are needed for organizing CISs and their currently covered entities in a scalable, robust and decentralized way so that they can be discovered by (potentially mobile) CASs when required. As a possible solution we present the design of an entity-centric wide- area context discovery service based on distributed hashtables. It requires no dedicated infrastructure, and ontologies are used for achieving interoperability. The concept is evaluated by a prototype based on the OpenDHT infrastructure. Experimental results demonstrate the feasibility and performance of the approach.
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