Web Service Selection Based on Integrated QoS Assesment

Eprint Arxiv 1204 1425, 2012

With the explosive growth of the number of services published over the Internet, it is difficult to select satisfactory web services among the candidate web services which provide similar functionalities. Quality of Service (QoS) is considered as the most important non-functional criterion for service selection. But this criterion is no longer considered as the only criterion to rank web services, satisfying user's preferences. The similarity measure (outputs-inputs similarity) between concepts based on ontology in an interconnected network of semantic Web services involved in a composition can be used as a distinguishing criterion to estimate the semantic quality of selected services for the composite service. Coupling the semantic similarity as the functional aspect and quality of services allows us to further constrain and select services for the valid composite services. In this paper, we present an overall service selection and ranking framework which firstly classify candidate web services to different QoS levels respect to user's QoS requirements and preferences with an Associative Classification algorithm and then rank the most qualified candidate services based on their functional quality through semantic matching. The experimental results show that proposed framework can satisfy service requesters' non-functional requirements.

Selecting the most relevant Web Service according to a client requirement is an onerous task, as there are innumerous functionally same Web Services (WS) that are able to satisfy the request of user. However non-functional attributes also matter a lot. A web Service Selection Process involves two major points: Recommending the pertinent Web Service and avoiding unjustifiable web service. The deficiency in keyword based searching is that it doesn’t handle the client request accurately. UDDI and search engines are based on keyword search, which is insufficient for providing the relevant service. So the search mechanism must be incorporated with the Semantic behavior of Web Services. In order to strengthen this approach, the proposed model is incorporated with Quality of Services (QoS) based Ranking of web services. This paper enlightens on various concepts of Quality of Service associated with web services. Various QoS parameters like performance, availability, reliability and stability etc. are formalized in order to enhance the pertinence of web service selection. A QoS mediator agent based Web Service Selection Model is proposed where QoS Consultant acts as a Mediator Agent between clients and service providers. Model suggests user’s preferences on QoS parameter selection. The proposed model helps to select pertinent Web Service as per user’s requirement and reduce the human intervention.

Now a days it is essential to pick superiority services for service composition. Today’s Web service selection and detection approaches rely on non-functional aspects e.g., response time and availability etc. which are also known as Quality of Service (QoS). These parameters are very imperative for web service selection but it is not sure that they reflect user’s viewpoint for service selection as well as composition. In this paper we introduce a new quality attribute as a quality of experience (QoE). This new aspect depends on users experience shared when they used the web service. We propose a clarification which will automatically mines and identifies the QoE from these shared experience on Web. We judge that there is a very strong positive association between QoE and QoS. Hence QoE can be used through service selection particularly when QoS data is not available or can be used as vital parameter not only for web service selection but also service composition.

Journal of Network and Computer Applications, 2008

This work proposes a Web Service (WS) discovery model in which the functional and nonfunctional requirements are taken into account during service discovery. The proposed infrastructure includes a set of services and tools to support an integrated WS discovery and selection solution. A mechanism is introduced that supports three different functional policies. It is able to take advantage of quality information located into a Web Service description language description file that might be located in a proprietary universal description, discovery and integration registry server or in an independent URL. Moreover, it implements a database supported WS intermediary (Broker) that it is also possible to store quality of service (QoS) information for WSs. A selection module is also presented that delivers the WS that maximizes the value of QoS characteristics among others with the same functionality. An experimental prototype is presented and evaluated in the scenario of air ticket issuing WS selection. r

Service selection using the quality of the service (QOS) is a strategy for implementing the most suitable services that accommodate the quality considerations in each aspect. A multi-dimension, multi-choice 0-1 knapsack concern, it is difficult as well as a complex concern to solve. The research recently centered on linear programming techniques to solve the concern because of their inadequate scalability features that make them appropriate only to simple issues and inapplicable for dynamic programs having real time specifications. In this document, we evaluate a scalable QoS service selection strategy according to a heuristic algorithm, which divides the concern into compact sub-problems for a near-to-optimal solution significantly faster than linear programming strategies.

2006 IEEE International Conference on e-Business Engineering (ICEBE'06), 2006

With the increasing popularity of employing web services, quality of service (QoS) measure of service becomes a significant concern for service consumers and providers. However, current technologies are poor to identify the relative importance of nonfunctional QoS criteria for web services and they are not fitting well for selecting the appropriate service. In this paper, a new scheme for right selection of QoSaware of web services which exploits fuzzy logic to locate and select the right service based on customer's preference or satisfaction degree. The aim is to compute both functional and non-functional weightings of QoS criteria and to assist customers to make the right choice for web services.

2019

Web Services in ample amount lying over the net are found similar in functionality varying in QoS (Quality of Services). Various methods and techniques have been proposed by researchers in order to get the most favoured and best-suited candidate services to be able to become the part of the final outcome which is called composite web service. Quality of Service has emerged as an important tool playing decisive role while selecting best candidate web Services as well as Composite Web Services. Undoubtedly, the technique of web services composition is the key property of service-orientation helps create new as well as advanced level services reusing the existing ones. In a distributed environment, services with no quality guarantees, have adverse impact on the final composition outcome. In their efforts to select the most favoured candidate services to be used for the composition, scholars while proposing new composition techniques relied on either Users’ provided feedbacks or Provide...

PLoS ONE, 2014

Web services today are among the most widely used groups for Service Oriented Architecture (SOA). Service selection is one of the most significant current discussions in SOA, which evaluates discovered services and chooses the best candidate from them. Although a majority of service selection techniques apply Quality of Service (QoS), the behaviour of QoS-based service selection leads to service selection problems in Multi-Criteria Decision Making (MCDM). In the existing works, the confidence level of decision makers is neglected and does not consider their expertise in assessing Web services. In this paper, we employ the VIKOR (VIšekriterijumskoKOmpromisnoRangiranje) method, which is absent in the literature for service selection, but is well-known in other research. We propose a QoS-based approach that deals with service selection by applying VIKOR with improvement of features. This research determines the weights of criteria based on user preference and accounts for the confidence level of decision makers. The proposed approach is illustrated by an example in order to demonstrate and validate the model. The results of this research may facilitate service consumers to attain a more efficient decision when selecting the appropriate service.

2008

Automated Web service selection is a key challenge in Service Oriented Architecture (SOA) research. With SOA becoming more popular in industry, and more Web services becoming available in the e-business market, the main issue changes from service discovery to service selection and ranking. In this paper, we propose a novel nonfunctional property-based service selection method by modifying the Logic Scoring Preference (LSP) method with Ordered Weighted Averaging (OWA) Operators. Moreover, the dynamic mechanism for evaluating metadata based QoS criteria of each service is presented for this method.

2005

Quality of Service (QoS) support in web services plays a great role for the success of this emerging technology. In this paper, we present a QoS brokerbased architecture for web services. The main goal of the architecture is to support the client in selecting web services based on his/her required QoS. To achieve this goal, we propose a two-phase verification technique that is performed by a third party broker. The first phase consists of syntactic and semantic verification of the service interface description including the QoS parameters description. The second phase consists of applying a measurement technique to compute the QoS metrics stated in the service interface and compares their values with the claimed one. This is used to verify the conformity of a web service from the QoS point of view (QoS testing). A methodological approach to generate QoS test cases, as input to QoS verification is used. We have implemented a prototype that includes the verification and certification components of the broker. We performed experiments to evaluate the importance of verification and certification features in the selection process using real web services.