Specifying and Composing Web Services with an Environment Ontology-Based Approach

2012 ◽  
pp. 105-123
Author(s):  
Puwei Wang ◽  
Zhi Jin ◽  
Lin Liu ◽  
Budan Wu
Keyword(s):  
Web Services ◽  
Web Service ◽  
Service Composition ◽  
Web Service Composition ◽  
State Transitions ◽  
Application Domain ◽  
Domain Specific ◽  
The Right ◽  
Online Travel ◽  
The Web

Precise capability specification is the key for identifying and composing the right Web services. This paper specifies service capabilities in terms of the environment entities from the application domain and the effects imposed by the Web service on these entities. An environment ontology for Web services is adopted to provide formal sharable representations of the domain-specific environment entities. A hierarchical state machine is constructed for each environment entity to describe its behaviors, and the effects imposed by a Web service are described as the state transitions traces of environment entities, which define the capability of the Web service. Web service composition that satisfies a set of requested effects is then conducted by reasoning on the effects of services. The proposed approach emphasizes the external manifestation of Web services and service composition based on the effect reasoning. An example of online travel service illustrates the proposed approach.

Specifying and Composing Web Services with an Environment Ontology-Based Approach

2010 ◽  
Vol 7 (3) ◽  
pp. 73-92
Author(s):  
Puwei Wang ◽  
Zhi Jin ◽  
Lin Liu ◽  
Budan Wu
Keyword(s):  
Web Services ◽  
Web Service ◽  
Service Composition ◽  
Web Service Composition ◽  
State Transitions ◽  
Application Domain ◽  
Domain Specific ◽  
The Right ◽  
Online Travel ◽  
The Web

Precise capability specification is the key for identifying and composing the right Web services. This paper specifies service capabilities in terms of the environment entities from the application domain and the effects imposed by the Web service on these entities. An environment ontology for Web services is adopted to provide formal sharable representations of the domain-specific environment entities. A hierarchical state machine is constructed for each environment entity to describe its behaviors, and the effects imposed by a Web service are described as the state transitions traces of environment entities, which define the capability of the Web service. Web service composition that satisfies a set of requested effects is then conducted by reasoning on the effects of services. The proposed approach emphasizes the external manifestation of Web services and service composition based on the effect reasoning. An example of online travel service illustrates the proposed approach.

scholarly journals An Intelligent Cloud Service Composition Optimization Using Spider Monkey and Multistage Forward Search Algorithms

Symmetry ◽  
2022 ◽  
Vol 14 (1) ◽  
pp. 82
Author(s):  
Hassan Tarawneh ◽  
Issam Alhadid ◽  
Sufian Khwaldeh ◽  
Suha Afaneh
Keyword(s):  
Web Services ◽  
Response Time ◽  
Web Service ◽  
Service Composition ◽  
Web Service Composition ◽  
Spider Monkey ◽  
Experimental Results ◽  
Forward Search ◽  
Proposed Model ◽  
The Right

Web service composition allows developers to create and deploy applications that take advantage of the capabilities of service-oriented computing. Such applications provide the developers with reusability opportunities as well as seamless access to a wide range of services that provide simple and complex tasks to meet the clients’ requests in accordance with the service-level agreement (SLA) requirements. Web service composition issues have been addressed as a significant area of research to select the right web services that provide the expected quality of service (QoS) and attain the clients’ SLA. The proposed model enhances the processes of web service selection and composition by minimizing the number of integrated Web Services, using the Multistage Forward Search (MSF). In addition, the proposed model uses the Spider Monkey Optimization (SMO) algorithm, which improves the services provided with regards to fundamentals of service composition methods symmetry and variations. It achieves that by minimizing the response time of the service compositions by employing the Load Balancer to distribute the workload. It finds the right balance between the Virtual Machines (VM) resources, processing capacity, and the services composition capabilities. Furthermore, it enhances the resource utilization of Web Services and optimizes the resources’ reusability effectively and efficiently. The experimental results will be compared with the composition results of the Smart Multistage Forward Search (SMFS) technique to prove the superiority, robustness, and effectiveness of the proposed model. The experimental results show that the proposed SMO model decreases the service composition construction time by 40.4%, compared to the composition time required by the SMFS technique. The experimental results also show that SMO increases the number of integrated ted web services in the service composition by 11.7%, in comparison with the results of the SMFS technique. In addition, the dynamic behavior of the SMO improves the proposed model’s throughput where the average number of the requests that the service compositions processed successfully increased by 1.25% compared to the throughput of the SMFS technique. Furthermore, the proposed model decreases the service compositions’ response time by 0.25 s, 0.69 s, and 5.35 s for the Excellent, Good, and Poor classes respectively compared to the results of the SMFS Service composition response times related to the same classes.

scholarly journals An Automatic Web Service Composition Framework Using QoS-Based Web Service Ranking Algorithm

2015 ◽  
Vol 2015 ◽  
pp. 1-14 ◽  
Author(s):  
Deivamani Mallayya ◽  
Baskaran Ramachandran ◽  
Suganya Viswanathan
Keyword(s):  
Web Services ◽  
Web Service ◽  
Service Composition ◽  
Web Applications ◽  
Web Service Composition ◽  
User Preferences ◽  
User Preference ◽  
Global Constraints ◽  
Service Ranking ◽  
The Web

Web service has become the technology of choice for service oriented computing to meet the interoperability demands in web applications. In the Internet era, the exponential addition of web services nominates the “quality of service” as essential parameter in discriminating the web services. In this paper, a user preference based web service ranking (UPWSR) algorithm is proposed to rank web services based on user preferences and QoS aspect of the web service. When the user’s request cannot be fulfilled by a single atomic service, several existing services should be composed and delivered as a composition. The proposed framework allows the user to specify the local and global constraints for composite web services which improves flexibility. UPWSR algorithm identifies best fit services for each task in the user request and, by choosing the number of candidate services for each task, reduces the time to generate the composition plans. To tackle the problem of web service composition, QoS aware automatic web service composition (QAWSC) algorithm proposed in this paper is based on the QoS aspects of the web services and user preferences. The proposed framework allows user to provide feedback about the composite service which improves the reputation of the services.

Mechanisms for Automatic Web Service Composition

2010 ◽  
pp. 175-186
Author(s):  
Quan Yuan ◽  
Mihai Fonoage ◽  
Ionut Cardei
Keyword(s):  
Web Services ◽  
Web Service ◽  
Service Composition ◽  
Web Service Composition ◽  
Web Services Composition ◽  
Services Composition ◽  
Composition Methods ◽  
Efficient Integration ◽  
The Web

This chapter introduces the web services composition as a means of studying efficient integration of the existing web services to satisfy users’ requirements. It discusses the web services composition definition, combined with the current web services composition methods, and divides those methods into two categories: AI-based methods and Non-AI methods. Also, the authors present the features and the comparison of these two categories, to assist researchers in the understanding of web service composition in a variety of contexts.

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 Logic Programming Based Framework for Intelligent Web Service Composition

2010 ◽  
pp. 193-221 ◽  
Author(s):  
Enrico Pontelli ◽  
Tran Cao Son ◽  
Chitta Baral
Keyword(s):  
Web Services ◽  
Logic Programming ◽  
Web Service ◽  
Service Composition ◽  
Web Service Composition ◽  
Service Description ◽  
Incomplete Knowledge ◽  
Programming Framework ◽  
Composition Problem ◽  
The Web

This chapter presents a comprehensive logic programming framework designed to support intelligent composition of Web services. The underlying model relies on the modeling of Web services as actions, each described by a logic programming theory. This view allows the use of logic-based planning to address the Web service composition problem, taking advantage of the fact that logic-based planning enables the elegant introduction of a number of extensions and generalizations (e.g., dealing with incomplete knowledge and preferences). The theory describing each Web service is encoded as a logic programming module, and different semantics are allowed within different modules, thus better reflecting the practical use of different service description formalisms and ontologies.

scholarly journals Providing security for Web Service Composition using Finite State Machine

2005 ◽  
Vol 4 (2) ◽  
pp. 435-444
Author(s):  
Priya Sundar ◽  
R Raju ◽  
P Mahalakshmi ◽  
G Lalitha
Keyword(s):  
Web Services ◽  
Web Service ◽  
Service Composition ◽  
Finite State Machine ◽  
State Machine ◽  
Web Service Composition ◽  
Machine Model ◽  
Access Points ◽  
Finite State ◽  
The Web

The revolution impacted by Web Service as a solution to business and enterprise application integration throws light on the significance of security provided by Web Services during Web Service Composition. Satisfying the security requirements is truly a demanding task because of the dynamic and capricious nature of the Web. Web Service Composition associates web services to create high level business process that absolutely matches and conforms appropriately to the service requestor’s needs. It involves customizing services often by locating, assimilating and deploying elementary services. Our paper proposes a policy based system for granting security during the process of web service composition. Policies defined for effective and secure composition analyze and verify the conditions under which the task of the web service is allowed or rejected. To achieve this specification, we make use of Finite State Machine model which clearly portrays the business and flow logic. Nodes in the Finite State Machine represent rules. Upon efficacious fulfillment of policies which are defined in the node access points, transition between rules is stimulated. A service composition is said to be successfully incorporated only if there is complete absence of policy violations when combining the policies of elementary services. The simulated FSM which extracts the rules and policies of the web services and correctly matches and satisfies the policy constraints defined in the access points ensure providing security for the composite web service.

scholarly journals QoS-Based Pattern Recognition Approach for Web Service Discovery: Ar_WSDS

2021 ◽  
Vol 11 (17) ◽  
pp. 8092
Author(s):  
Marco Adarme ◽  
Miguel Jimeno
Keyword(s):  
Pattern Recognition ◽  
Web Services ◽  
Web Service ◽  
Service Composition ◽  
Service Discovery ◽  
Optimization Problems ◽  
Selection Process ◽  
Quality Criteria ◽  
Web Service Composition ◽  
The Web

Web service composition requires high levels of integration and reliability of the services involved in its operation, which must meet specific quality criteria to ensure their proper execution and deployment. The discovery and selection of web services currently face optimization problems. Many services might satisfy a requirement with similar quality criteria. Because of this, software developers have to choose the most appropriate services for a given composition, complicated by the rapid increase in providers and services available in the cloud. Service composition also implies coupling according to a composition flow and non-functional requirement criteria. Such requirements make selection and composition a complex task not previously solved in the literature. This paper presents Ar_WSDS, a computational approach for web services discovery and selection in cloud environments, which bases its implementation on the brain’s pattern recognition systematic functioning. This process allows classifying web services through recognition modules created dynamically based on their quality parameters, resulting in a set of web services suitable for a web service composition. This approach allows a solution to the selection problem using less complex tasks. This paper introduces an architectural and procedural definition that provides the web service description with a pattern to recognize and select services using different recognition levels. We simulated our approach and evaluated it using a dataset from the QWS project that offers a set of quality criteria collected from different providers. The web services are recognized and classified using different quality criteria for the composition and each of their services. The results demonstrate the effectiveness of the discovery and selection process compared to other approaches. Furthermore, Ar_WSDS allows us to recognize and filter out web services with ambiguity and similarity in their provider information, a process that minimizes the discovery space for services.

A Logic Programming Based Framework for Intelligent Web Service Composition

2011 ◽  
pp. 355-378
Author(s):  
Enrico Pontelli ◽  
Tran Cao Son ◽  
Chitta Baral
Keyword(s):  
Web Services ◽  
Logic Programming ◽  
Web Service ◽  
Service Composition ◽  
Web Service Composition ◽  
Service Description ◽  
Incomplete Knowledge ◽  
Programming Framework ◽  
Composition Problem ◽  
The Web

This chapter presents a comprehensive logic programming framework designed to support intelligent composition of Web services. The underlying model relies on the modeling of Web services as actions, each described by a logic programming theory. This view allows the use of logic-based planning to address the Web service composition problem, taking advantage of the fact that logic-based planning enables the elegant introduction of a number of extensions and generalizations (e.g., dealing with incomplete knowledge and preferences). The theory describing each Web service is encoded as a logic programming module, and different semantics are allowed within different modules, thus better reflecting the practical use of different service description formalisms and ontologies.

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