A Heuristic Approach for Web-Service Discovery and Selection
نویسندگان
چکیده
In today’s businesses, service-oriented architectures represent the main paradigm for IT infrastructures. Indeed, the emergence of Internet made it possible to set up an exploitable environment to distribute applications on a large scale, and this, by adapting the notion of “service”. With the integration of this paradigm in Business to Business Domain (B2B), the number of web services becomes very significant. Due to this increase, the discovery and selection of web services meeting customer requirement become a very difficult operation. Further, QoS properties must be taking into account in the web service selection. Moreover, with the significant number of web service, necessary time for the discovery of a service will be rather long. In this paper, we propose an approach based on a new heuristic method called “Bees Algorithm” inspired from honey bees behavior. We use this technique of optimization in order to discover appropriate web services, meeting customer requirements, in least time and taking into account the QoS properties.
منابع مشابه
A procedure for Web Service Selection Using WS-Policy Semantic Matching
In general, Policy-based approaches play an important role in the management of web services, for instance, in the choice of semantic web service and quality of services (QoS) in particular. The present research work illustrates a procedure for the web service selection among functionality similar web services based on WS-Policy semantic matching. In this study, the procedure of WS-Policy publi...
متن کاملExpert Discovery: A web mining approach
Expert discovery is a quest in search of finding an answer to a question: “Who is the best expert of a specific subject in a particular domain within peculiar array of parameters?” Expert with domain knowledge in any field is crucial for consulting in industry, academia and scientific community. Aim of this study is to address the issues for expert-finding task in real-world community. Collabor...
متن کاملA Qos-aware Approach for Web Service Selection Based on Probability Evaluation
The rising number of available web services with the same functionality hampers the web service discovery process and complicates clients while searching for a web service that best meets their requirements. That is why the web service description and discovery need to concern not only functional but also non-functional (QoS) properties of web services. This paper contributes to that challenge ...
متن کاملCase-based Reasoning for Web Service Discovery and Selection
Web Service discovery and selection deal with the retrieval of the most suitable Web Service, given a required functionality. Addressing an effective solution remains difficult when only functional descriptions of services are available. In this paper, we propose a solution by applying Case-based Reasoning, in which the resemblance between a pair of cases is quantified through a similarity func...
متن کاملPersonalized QoS Prediction of Cloud Services via Learning Neighborhood-Based Model
The explosion of cloud services on the Internet brings new challenges in service discovery and selection. Particularly, the demand for efficient quality-ofservice (QoS) evaluation is becoming urgently strong. To address this issue, this paper proposes neighborhoodbased approach for QoS prediction of cloud services by taking advantages of collaborative intelligence. Different from heuristic coll...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- CoRR
دوره abs/1305.2684 شماره
صفحات -
تاریخ انتشار 2013