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The number of web services available on the internet has exploded, and as a result, the number of services with the same functionality has exploded as well. Therefore, selecting the best web service from functionally similar services is a critical task in the web service domain. The Quality of Service (QoS) is one of the most common criteria used to select the best web service. Collaborative filtering...
Quality of Service (QoS) has become a standard way of evaluating web services and selecting the one that suites user interests the best. Traditional methods adopt a fixed set of QoS parameters and typical ones include response time, fee, and availability. There currently lacks an effective way of identifying quality features that users are actually interested in when choosing a service. Meanwhile,...
In cloud computing, in order to select or recommend the best service solutions to end users, the end-to-end QoS requirements (e.g. response time and throughput) have to be computed. A typical cloud solution is a combination of multiple component services such as IaaS, SaaS, PaaS, etc. In a simplified case, there could be two components- software services and infrastructure services. The software service...
Since selecting a web service based on Quality of Services (QoS) is essentially a Multi-Criteria Decision Making (MCDM) problem, various MCDM models would be suitable for implementing the selection systems. A few of the MCDM approaches have been explored in previous research works. In this paper, we propose to use an enhanced PROMETHEE model for QoS-based web service selection. Many selection algorithms...
Collaborative filtering based recommender systems are very successful on dealing with the information overload problem and providing personalized recommendations to users. When more and more web services are published online, this technique can also help recommend and select services which satisfy users' particular Quality of Service (QoS) requirements and preferences. In this paper, we propose a...
One of the prerequisites for the success of a QoS-based web service selection process is an accurately formulated QoS query. It is usually not an easy task for users to formulate an accurate query considering the complexity of many current QoS languages and users' lack of knowledge on realistic QoS values. It would be very helpful if the system can provide some assistance to users during the whole...
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