摘要：Services as part of our daily life represent an important means to deliver value to their consumers and have a great economic impact for organizations. The service consumption and their exponential proliferation show the importance and acceptance by their customers. In this sense, it is possible to p redict that the infrastructure of future cities will be su pported by different kind of services, such as smart city services, open data services, as well as common services (e.g., e-mail services), etc. Nowadays a l arge percentage of services are provided on the web and are commonly called web services (WSs). This kind o f services has become one of the most used technologies in software systems. Among the challenges when integrating web services in a given system, requirements-driven selection occupies a prominent place. A comprehensive selection process needs to check compliance of Non-Functional Requirements (NFRs) which can be assessed by analyzing the Quality of Service (QoS). In this pap er, we describe a framework called WeSSQoS that aims at ranking available WSs based on the comparison of their QoS and the stated NFRs. The framework is designed as an open Service Oriented Architecture (SOA) that hosts a configurable portfolio of normalization procedures and ranking algorithms which can be selected by users when starting a selection process. The QoS data from WSs can be obtained either from a static, WSDL-like description or dynamically through monitoring techniques. WeSSQoS is designed to work over multiple WS repositories a nd QoS sources. The impact of having a portfolio of different normalization and ranking algorithms is illustrated with an example.
其他摘要：Services as part of our daily life represent an important means to deliver value to their consumers and have a great economic impact for organizations. The service consumption and their exponential proliferation show the importance and acceptance by their customers. In this sense, it is possible to p redict that the infrastructure of future cities will be su pported by different kind of services, such as smart city services, open data services, as well as common services (e.g., e-mail services), etc. Nowadays a l arge percentage of services are provided on the web and are commonly called web services (WSs). This kind o f services has become one of the most used technologies in software systems. Among the challenges when integrating web services in a given system, requirements-driven selection occupies a prominent place. A comprehensive selection process needs to check compliance of Non-Functional Requirements (NFRs) which can be assessed by analyzing the Quality of Service (QoS). In this pap er, we describe a framework called WeSSQoS that aims at ranking available WSs based on the comparison of their QoS and the stated NFRs. The framework is designed as an open Service Oriented Architecture (SOA) that hosts a configurable portfolio of normalization procedures and ranking algorithms which can be selected by users when starting a selection process. The QoS data from WSs can be obtained either from a static, WSDL-like description or dynamically through monitoring techniques. WeSSQoS is designed to work over multiple WS repositories a nd QoS sources. The impact of having a portfolio of different normalization and ranking algorithms is illustrated with an example.
关键词：Web service (WS); web service selection; service oriented architecture (SOA); quality of ser vice (QoS); non-functional requirement (NFR); service le vel agreement (SLA); ranking services.
其他关键词：Web service (WS); web service selection; service oriented architecture (SOA); quality of ser vice (QoS); non-functional requirement (NFR); service le vel agreement (SLA); ranking services.
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