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Given the large amount of existing services and the diversified needs nowadays, it is time-consuming for end-users to find appropriate services. To help end-users obtain their desired services, context-aware systems provide a promising way to automatically search and recommend services using a user's context. However, existing context-aware techniques have limited support for dynamic adaption to newly...
Recently paradigms such as Service-Oriented and Pervasive Computing are merging in scenarios where users are surrounded by a plethora of computing devices and available services. Dealing with this potentially large number of devices and services can become overwhelming to users without appropriate software support. Moreover, in the case of non-technical users, an additional difficulty is to express...
Reducing cost of service is an important goal for Service Discovery technologies. The shortcomings of transhipment-method and hibernation-method are to increase holistic cost of service and to slower resource discovery respectively. To overcome these shortcomings, a new method based on context-aware computing is developed. This method, firstly, analyzes the courses of devices using Service Discovery...
The aim of service discovery is to discover services based on preferences given by service consumers. Many approaches are using keyword based syntactic methods and recent approaches are using semantic Web technology to enhance service discovery. Traditional service discovery mechanism acts like a black box which processes input and gives output. Results of service discovery are not based on current...
The increasing popularity of personal wireless devices has raised new demands for the efficient discovery of heterogeneous devices and services in pervasive environments. The existing syntactic level service matching mechanisms such as Jini, UPnP, etc., are limited to syntactic comparisons based on attributes or interfaces. In order to overcome the limitations in these approaches, there has been an...
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