Using Planning and Case-Based Reasoning for Service Composition

Author(s):  
Chiung-Hon Leon Lee ◽  
◽  
Alan Liu ◽  
Huan-Hsian Huang ◽  

Planning commonly applied to automating Web Service composition involves two problems - (i) overlooked user needs combined with services provided by the systems themselves and outside services providing a much more flexible service model. (ii) “Speeding up” and “facilitating” services by not recording information about service providers already having served users and about planning already processed. We propose merging internal and external services to meet user needs. Internal services include system functions designed to meet user needs. External services mean Web services provided by outside service providers. We plan to combine both types of services to create planning to meet user needs. We apply case-based reasoning to store planning and related information in a case base to make planning much faster when users have similar needs.

2014 ◽  
Vol 11 (2) ◽  
pp. 67-84 ◽  
Author(s):  
Tanveer Ahmed ◽  
Abhishek Srivastava

Service oriented architecture has revolutionized the way a traditional business process is executed. The success of this architecture is Indue to the composition of multiple heterogeneous services at runtime. Web service composition is a mechanism where several web services are combined at runtime to build a complex application for a user. It is one of the most sought after processes in the context of semantic web. But, composition of web services at runtime is a difficult task owing to the availability of multiple service providers offering the same functionality. The process if exasperated by due conflicting preferences of a service consumer. In this paper, the authors address the issue of selecting a service based on Quality of Service (QoS) attributes. They utilize concepts customized from physics to create an environment that facilitates the selection of a best service from the set of similar services. The technique not only facilitates the selection of the service with the best QoS attributes, but distributes the load among expeditiously. Here in this paper, the authors concentrate on minimizing and equitably balancing the waiting time for a user. They conduct in silico experiments on multiple workflows to demonstrate the efficacy of the proposed technique to balance load efficiently among similar service offerings.


2018 ◽  
Vol 2018 ◽  
pp. 1-15 ◽  
Author(s):  
Eckwijai Maythaisong ◽  
Wararat Songpan

Web service composition is a method of developing a new web service from an existing one based on business goals. Web services selected for composition should provide accurate operational results and reliable applications. However, most alternative service providers have not yet fulfilled users’ needs in terms of services and processes. Service providers, in fact, have focused on enhancing nonfunctional attributes, such as efficiencies of time, cost, and availability, which still face limitations. Furthermore, it remains advantageous to compose services and suitably plan them around business plans. Thus, this study introduces hybrid testing using a combination of the functional and nonfunctional testing approaches. The former was used to design a test case through the equivalence class partitioning technique, and the latter was used to select suitable services for the test results. We find defects and appropriate solutions for combining services based on business requirements. The mutation-based harmony search (MBHS) algorithm is proposed to select web services and to compose with minimum defects. The results of this study reveal that MBHS can support a combination of various services more efficiently and dramatically than other metaheuristic methodologies. Additionally, it helps find appropriate solutions to compose services based on business plans.


2014 ◽  
Vol 912-914 ◽  
pp. 1473-1476
Author(s):  
Bo Yang ◽  
Ying Fang Li ◽  
Xiang Yang ◽  
Ying Jiang Li

At present, more and more service providers carry on their business as a Web type. However, the function of individual Web services is very limited and the lack of semantic information, only can meet the needs for a single customer. In this paper, making Web services become an entities understood by the computer through introducing the concept of the Ontology. A framework of Semantic Web Service composition also is proposed based on Ontology for assembling basic Web services coming from different service providers and a solution is provided for to achieve value-added services based on a single service.


2011 ◽  
pp. 604-622
Author(s):  
Taha Osman ◽  
Dhavalkumar Thakker ◽  
David Al-Dabass

With the rapid proliferation of Web services as the medium of choice to securely publish application services beyond the firewall, the importance of accurate, yet flexible matchmaking of similar services gains importance both for the human user and for dynamic composition engines. In this article, we present a novel approach that utilizes the case based reasoning methodology for modelling dynamic Web service discovery and matchmaking, and investigate the use of case adaptation for service composition. Our framework considers Web services execution experiences in the decision making process and is highly adaptable to the service requester constraints. The framework also utilizes OWL semantic descriptions extensively for implementing both the components of the CBR engine and the matchmaking profile of the Web services.


Author(s):  
Myung-Chul Jung ◽  
◽  
Sung-Bae Cho

As Web services become more widely disseminated, tools are needed to help users find and integrate these services. As these services become more available, users and service providers will want to obtain new and value-added services by combining and reconfiguring existing services. We propose novel Web service composition based on a behavior network that selects services automatically through internal and external links with environmental information from sensor and goals. Optimal services are selected at each step, resulting in a globally optimal service sequence for achieving a preset goal. We developed our prototype using Amazon Web services to verify its feasibility. Experimental results comparing rule-based system and user tests demonstrated the potential of the behavior network for Web services applications.


Author(s):  
Fouad Henni ◽  
Baghdad Atmani

Web services have emerged as a major technology for deploying automated interactions between distributed and heterogeneous applications. The main advantage of Web services composition is the possibility of creating value-added services by combining existing ones to achieve customized tasks. How to combine these services efficiently into an arrangement that is both functionally sound and architecturally realizable is a very challenging topic that has founded a significant research area within computer science. A great deal of recent Web-related research has concentrated on dynamic Web service composition. Most of proposed models for dynamic composition use semantic descriptions of Web services through the construction of domain ontology. In this paper, we present our approach to dynamically produce composite services. It is based on the use of two Artificial Intelligence (AI) techniques: Case-Based Reasoning (CBR) and AI planning. Our motivating scenario concerns a national system for the monitoring of childhood immunization.


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