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A Generic Query Model for the Unified Discovery of Heterogeneous Services

机译:异构服务统一发现的通用查询模型

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In this paper, we propose Proteus, a generic query model for the discovery of operations offered by heterogeneous services. We demonstrate the need for such a model, and show how it unifies the task of service discovery through abstractions, which allow for the technology-independent formulation of service advertisements, queries, and query responses. On top of these generic elements, we build an intuitive, fuzzy-based query evaluation mechanism that supports the service matchmaking process by employing and appropriately combining existing similarity metrics. Thanks to the generality of Proteus, it is possible to seamlessly accommodate the discovery of operations provided by various types of services without the need of changing the existing service infrastructure. Thus, our approach is applicable to a variety of settings ranging from traditional web services to service-oriented grids, peer-to-peer networks, geospatial information systems, and so on. Overall, compared to the existing query models supported by standard service discovery technologies, our approach is marked by openness, flexibility, and improved performance in terms of precision and recall. The feasibility and efficiency of Proteus are verified by a series of experiments.
机译:在本文中,我们提出了Proteus,这是用于发现异构服务提供的操作的通用查询模型。我们演示了对这种模型的需求,并展示了它如何通过抽象统一服务发现的任务,该抽象允许对服务广告,查询和查询响应进行技术无关的表示。在这些通用元素之上,我们建立了一个直观的,基于模糊的查询评估机制,该机制通过采用和适当组合现有的相似性指标来支持服务匹配过程。由于Proteus的通用性,可以无缝地适应由各种类型的服务提供的操作的发现,而无需更改现有的服务基础结构。因此,我们的方法适用于从传统Web服务到面向服务的网格,对等网络,地理空间信息系统等各种设置。总体而言,与标准服务发现技术支持的现有查询模型相比,我们的方法的特点是开放性,灵活性以及在准确性和召回性方面的改进性能。通过一系列实验验证了Proteus的可行性和效率。

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