A queuing model for service selection of multi-classes QoS-aware Web services

2005 ◽  
Author(s):  
E. Badidi ◽  
L. Esmahi ◽  
M.A. Serhani
Keyword(s):  
Web Services ◽  
Service Selection ◽  
Queuing Model ◽  
Selection Of

Social Web Services Management

2016 ◽  
pp. 204-220
Author(s):  
Zakaria Maamar ◽  
Noura Faci ◽  
Ejub Kajan ◽  
Emir Ugljanin
Keyword(s):  
Web Services ◽  
Web Service ◽  
Service Use ◽  
Service Selection ◽  
High Availability ◽  
Social Web ◽  
Web Service Selection ◽  
Ongoing Work ◽  
The Web ◽  
Selection Of

As part of our ongoing work on social-intensive Web services, also referred to as social Web services, different types of networks that connect them together are developed. These networks include collaboration, substitution, and competition, and permit the addressing of specific issues related to Web service use such as composition, discovery, and high-availability. “Social” is embraced because of the similarities of situations that Web services run into at run time with situations that people experience daily. Indeed, Web services compete, collaborate, and substitute. This is typical to what people do. This chapter sheds light on some criteria that support Web service selection of a certain network to sign up over another. These criteria are driven by the security means that each network deploys to ensure the safety and privacy of its members from potential attacks. When a Web service signs up in a network, it becomes exposed to both the authority of the network and the existing members in the network as well. These two can check and alter the Web service's credentials, which may jeopardize its reputation and correctness levels.

A QoS Aware, Cognitive Parameters Based Model for the Selection of Semantic Web Services

2010 ◽  
pp. 320-335
Author(s):  
Sandeep Kumar ◽  
Kuldeep Kumar
Keyword(s):  
Web Services ◽  
Semantic Web ◽  
Web Service ◽  
Selection Process ◽  
Service Selection ◽  
Semantic Web Services ◽  
Semantic Web Service ◽  
Web Service Selection ◽  
The One ◽  
Selection Of

Semantic Web service selection is considered as the one of the most important aspects of semantic web service composition process. The Quality of Service (QoS) and cognitive parameters can be a good basis for this selection process. In this paper, we have presented a hybrid selection model for the selection of Semantic Web services based on their QoS and cognitive parameters. The presented model provides a new approach of measuring the QoS parameters in an accurate way and provides a completely novel and formalized measurement of different cognitive parameters.

Social Web Services Management

2014 ◽  
pp. 135-151
Author(s):  
Zakaria Maamar ◽  
Noura Faci ◽  
Ejub Kajan ◽  
Emir Ugljanin
Keyword(s):  
Web Services ◽  
Web Service ◽  
Service Use ◽  
Service Selection ◽  
High Availability ◽  
Social Web ◽  
Web Service Selection ◽  
Ongoing Work ◽  
The Web ◽  
Selection Of

As part of our ongoing work on social-intensive Web services, also referred to as social Web services, different types of networks that connect them together are developed. These networks include collaboration, substitution, and competition, and permit the addressing of specific issues related to Web service use such as composition, discovery, and high-availability. “Social” is embraced because of the similarities of situations that Web services run into at run time with situations that people experience daily. Indeed, Web services compete, collaborate, and substitute. This is typical to what people do. This chapter sheds light on some criteria that support Web service selection of a certain network to sign up over another. These criteria are driven by the security means that each network deploys to ensure the safety and privacy of its members from potential attacks. When a Web service signs up in a network, it becomes exposed to both the authority of the network and the existing members in the network as well. These two can check and alter the Web service's credentials, which may jeopardize its reputation and correctness levels.

An Agent Architecture for Qos-Based Web Service Composition Using the Skyline Algorithm

2017 ◽  
Vol 6 (3) ◽  
pp. 179 ◽  
Author(s):  
El-Alami Ayoub ◽  
Hair Abdellatif
Keyword(s):  
Web Services ◽  
Web Service ◽  
Service Composition ◽  
Service Selection ◽  
Web Service Composition ◽  
Web Service Selection ◽  
Concrete Service ◽  
The Web ◽  
Selection Of

<p>Web service composition is a concept based on the built of an abstract process, by combining multiple existing class instances, where during the execution, each service class is replaced by a concrete service, selected from several web service candidates. This approach has as an advantage generating flexible and low coupling applications, based on its conception on many elementary modules available on the web. The process of service selection during the composition is based on several axes, one of these axes is the QoS-based web service selection. The Qos or Quality of Service represent a set of parameters that characterize the non-functional web service aspect (execution time, cost, etc...). The composition of web services based on Qos, is the process which allows the selection of the web services that fulfill the user need, based on its qualities. Selected services should optimize the global QoS of the composed process, while satisfying all the constraints specified by the client in all QoS parameters. In this paper, we propose an approach based on the concept of agent system and Skyline approach to effectively select services for composition, and reducing the number of candidate services to be generated and considered in treatment. To evaluate our approach experimentally, we use a several random datasets of services with random values of qualities.</p>

A Two Phases Self-healing Framework for Service-oriented Systems

2021 ◽  
Vol 15 (2) ◽  
pp. 1-25
Author(s):  
Amal Alhosban ◽  
Zaki Malik ◽  
Khayyam Hashmi ◽  
Brahim Medjahed ◽  
Hassan Al-Ababneh
Keyword(s):  
Web Services ◽  
A Priori ◽  
Fault Management ◽  
Service Selection ◽  
Exception Handling ◽  
Self Healing ◽  
Service Oriented Architectures ◽  
Service Oriented ◽  
Improved Performance ◽  
High Level

Service-Oriented Architectures (SOA) enable the automatic creation of business applications from independently developed and deployed Web services. As Web services are inherently a priori unknown, how to deliver reliable Web services compositions is a significant and challenging problem. Services involved in an SOA often do not operate under a single processing environment and need to communicate using different protocols over a network. Under such conditions, designing a fault management system that is both efficient and extensible is a challenging task. In this article, we propose SFSS, a self-healing framework for SOA fault management. SFSS is predicting, identifying, and solving faults in SOAs. In SFSS, we identified a set of high-level exception handling strategies based on the QoS performances of different component services and the preferences articled by the service consumers. Multiple recovery plans are generated and evaluated according to the performance of the selected component services, and then we execute the best recovery plan. We assess the overall user dependence (i.e., the service is independent of other services) using the generated plan and the available invocation information of the component services. Due to the experiment results, the given technique enhances the service selection quality by choosing the services that have the highest score and betters the overall system performance. The experiment results indicate the applicability of SFSS and show improved performance in comparison to similar approaches.

Multi-criteria Web Services Selection: Balancing the Quality of Design and Quality of Service

2022 ◽  
Vol 22 (1) ◽  
pp. 1-31
Author(s):  
Marwa Daaji ◽  
Ali Ouni ◽  
Mohamed Mohsen Gammoudi ◽  
Salah Bouktif ◽  
Mohamed Wiem Mkaouer
Keyword(s):  
Quality Of Service ◽  
Web Services ◽  
Web Service ◽  
State Of The Art ◽  
Service Selection ◽  
Service Design ◽  
Design Quality ◽  
Trade Off ◽  
Selection Approach

Web service composition allows developers to create applications via reusing available services that are interoperable to each other. The process of selecting relevant Web services for a composite service satisfying the developer requirements is commonly acknowledged to be hard and challenging, especially with the exponentially increasing number of available Web services on the Internet. The majority of existing approaches on Web Services Selection are merely based on the Quality of Service (QoS) as a basic criterion to guide the selection process. However, existing approaches tend to ignore the service design quality, which plays a crucial role in discovering, understanding, and reusing service functionalities. Indeed, poorly designed Web service interfaces result in service anti-patterns, which are symptoms of bad design and implementation practices. The existence of anti-pattern instances in Web service interfaces typically complicates their reuse in real-world service-based systems and may lead to several maintenance and evolution problems. To address this issue, we introduce a new approach based on the Multi-Objective and Optimization on the basis of Ratio Analysis method (MOORA) as a multi-criteria decision making (MCDM) method to select Web services based on a combination of their (1) QoS attributes and (2) QoS design. The proposed approach aims to help developers to maintain the soundness and quality of their service composite development processes. We conduct a quantitative and qualitative empirical study to evaluate our approach on a Quality of Web Service dataset. We compare our MOORA-based approach against four commonly used MCDM methods as well as a recent state-of-the-art Web service selection approach. The obtained results show that our approach outperforms state-of-the-art approaches by significantly improving the service selection quality of top- k selected services while providing the best trade-off between both service design quality and desired QoS values. Furthermore, we conducted a qualitative evaluation with developers. The obtained results provide evidence that our approach generates a good trade-off for what developers need regarding both QoS and quality of design. Our selection approach was evaluated as “relevant” from developers point of view, in improving the service selection task with an average score of 3.93, compared to an average of 2.62 for the traditional QoS-based approach.

Sign in / Sign up

Export Citation Format

Share Document