Vartotojo valdomos internetinių paslaugų automatinės ir pusiau automatinės kompozicijos atlikimo galimybės

Šio mokslinio tyrimo tematika nagrinėja internetinių paslaugų kompozicijos atlikimo priemones ir būdus. Straipsnyje aprašomi vartotojo poreikiams pritaikytų internetinių paslaugų kompozicijos automatiniai ir pusiau automatiniai kūrimo būdai ir metodai, plačiau nagrinėjamos šių metodų galimybės ir apribojimai. Analizuojami moksliniuose straipsniuose pateikiami internetinių paslaugų kompozicijos atlikimo metodai ir išskiriami trys pagrindiniai šių paslaugų kompozicijos būdai: darbų srautų modeliais grindžiamas, paslaugų šablonais grindžiamas ir automatinis paslaugų kompozicijos metodas. Tyrimo tikslas – pateikti pasiūlymą, kuris leistų automatiniu ar pusiau automatiniu būdu kurti internetinių paslaugų kompozicijas pagal vartotojų poreikius. Pusiau automatinio internetinių paslaugų komponavimo uždavinio sprendimo būdą iliustruoja sudėtingas kelionės planavimo pavyzdys. Internetinių paslaugų kompozicijai atlikti siūloma taikyti dirbtinio intelekto planavimo metodus. Pateikiama tokio uždavinio sprendimo koncepcija, kuri grindžiama fragmentiniais kituose projektuose gautais paslaugų komponavimo rezultatais ir bando sujungti visą internetinių paslaugų kompozicijos procesą: nuo vartotojo keliamų kompozicijos reikalavimų įvedimo iki tinkamo paslaugų kompozicijos rezultatų pateikimo. Possibilities of automatic and semi-automatic end-user driven web service compositionDalė Dzemydienė, Arūnas Miliauskas SummaryOur research work relates to the main principles, means and current limitations of the end-user driven automatic and semi-automatic web service composition. It analyses automatic and semi-automatic composition approaches found in literature and classifi es them as workfl ow-based, template-based and automatic methods. The aim of this research is to provide a proposal how to construct semiautomatic or automatic end-user driven web service composition. An approach is illustrated by the multi-complexity of service composition in travel domain. We analyze a conceptual solution that covers the whole composition process: from an end-user submitting composition requirements until the presentation of the a composition execution results. Some methods of an artifi cial intelligence (AI) planning research fi eld were used in proposed web service composition approach.

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Web Service Automatic Composition Based on Extended Token of Petri Net

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.20-23.220 ◽

2010 ◽

Vol 20-23 ◽

pp. 220-225 ◽

Cited By ~ 1

Author(s):

Bo Yang ◽

Shun Lin Song

Keyword(s):

Web Services ◽

Web Service ◽

Petri Net ◽

Service Composition ◽

Web Service Composition ◽

Composition Method ◽

Automatic Composition ◽

Service Modeling ◽

Composition Process ◽

The Relationship

By analyzing the existing Web service composition，a automatic composition method of Web Service based on Petri net was been proposed. This paper primarily extended the Petri net’s tokens, which been expressed as the parameters of atomic services (the services can not be decomposed), as a model for Web services. Then the improved Web service composition method was used to compose the atomic services, making them flowing in the Petri net in accordance with the relationship between the composition of atomic services, and verify the correctness of the service. Finally a specific example was used to analyze and realize the service modeling and automatic composition process of Web service.

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Transactional-Aware Web Service Composition

Handbook of Research on Service-Oriented Systems and Non-Functional Properties ◽

10.4018/978-1-61350-432-1.ch006 ◽

2012 ◽

pp. 116-141 ◽

Cited By ~ 6

Author(s):

Yudith Cardinale ◽

Joyce El Haddad ◽

Maude Manouvrier ◽

Marta Rukoz

Keyword(s):

Web Service ◽

Service Composition ◽

Fault Tolerant ◽

Value Added ◽

Web Service Composition ◽

Control Flow ◽

Transactional Model ◽

Future Directions ◽

A Value ◽

Composition Process

Web Service (WS) composition consists in combining several WSs into a Composite WS (CWS), which becomes a value-added process. In order to provide reliable and fault-tolerant CWSs, several transactional-aware composition approaches have been proposed. However, as far as we know, no real classification survey of such approaches exists. This is the contribution of this chapter. Our classification distinguishes the more relevant and recent propositions in two groups: approaches based on WS transactional properties and the ones also integrating QoS criteria to the composition process. All these studied approaches are compared according to several criteria: the transactional model used or proposed, the control flow model used or automatically generated, the mechanism proposed to verify the transactional property of the composition, the step(s) of the composition process involved in, and the protocols or the standard languages used or extended. This classification allows underlining the lacks and the future directions which should be studied.

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WSBen

Web Technologies ◽

10.4018/978-1-60566-982-3.ch040 ◽

2011 ◽

pp. 739-758 ◽

Cited By ~ 1

Author(s):

Seog-Chan Oh ◽

Dongwon Lee

Keyword(s):

Statistical Analysis ◽

Web Services ◽

Web Service ◽

Service Composition ◽

Network Models ◽

Web Service Composition ◽

Ai Planning ◽

Underlying Network ◽

Test Sets ◽

Diverse Data

In this article, a novel benchmark toolkit, WSBen, for testing web services discovery and composition algorithms is presented. The WSBen includes: (1) a collection of synthetically generated web services files in WSDL format with diverse data and model characteristics; (2) queries for testing discovery and composition algorithms; (3) auxiliary files to do statistical analysis on the WSDL test sets; (4) converted WSDL test sets that conventional AI planners can read; and (5) a graphical interface to control all these behaviors. Users can finetune the generated WSDL test files by varying underlying network models. To illustrate the application of the WSBen, in addition, we present case studies from three domains: (1) web service composition; (2) AI planning; and (3) the laws of networks in Physics community. It is our hope that WSBen will provide useful insights in evaluating the performance of web services discovery and composition algorithms. The WSBen toolkit is available at: http://pike.psu.edu/sw/wsben/.

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DL Reasoning and AI Planning for Web Service Composition

2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology ◽

10.1109/wiiat.2008.344 ◽

2008 ◽

Cited By ~ 7

Author(s):

Freddy Lécué ◽

Alain Léger ◽

Alexandre Delteil

Keyword(s):

Web Service ◽

Service Composition ◽

Web Service Composition ◽

Ai Planning

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Research on the Qos Optimization of Web Service Composition Process

Computer Science and Application ◽

10.12677/csa.2014.43010 ◽

2014 ◽

Vol 04 (03) ◽

pp. 50-58

Author(s):

香善李

Keyword(s):

Web Service ◽

Service Composition ◽

Web Service Composition ◽

Composition Process ◽

Qos Optimization

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Web service composition ranking based on QoS and social network analysis

10.32920/ryerson.14660862.v1 ◽

2021 ◽

Author(s):

Alireza Dehghani

Keyword(s):

Social Network ◽

Social Network Analysis ◽

Network Analysis ◽

Web Service ◽

Service Composition ◽

Service Providers ◽

Web Service Composition ◽

Rank Score ◽

Higher Weights ◽

Composition Process

Web service composition refers to the aggregation of web services for producing composite solutions in order to satisfy user requirements which can't be satisfied by atomic services. It is an essential challenge to find the most reliable and trustable complex services in each composition process. Many of current composition approaches use QoS (Quality of Service) values to select among different composition candidates. However, QoS values can't be trusted all the time since some service providers may promote their services by publishing wrong QoS values. Social network analysis techniques such as PageRank have been used successfully in finding the trustable and authoritative web resources. We believe that these techniques can also be used to improve the service composition process. We have developed a modified PageRank algorithm called Service Rank in order to find the importance level of each service in a composition based on its connectivity and invocation history. This can be accomplished by assigning higher weights to links which have more number of invocations, more up-to-date invocation time and contract signing time, and longer contract durations. Eventually the Service Rank score will be combined with the QoS score for composition ranking. Preliminary results from our experiments have proved the effectiveness of this method. As a consequence users can be more satisfied with the service composition result.

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Autonomic Execution of Web Service Composition Using AI Planning Method

International Journal of Information Technologies and Systems Approach ◽

10.4018/ijitsa.2015010102 ◽

2015 ◽

Vol 8 (1) ◽

pp. 28-45 ◽

Cited By ~ 1

Author(s):

Chao-Qun Yuan ◽

Fang-Fang Chua

Keyword(s):

Web Service ◽

Service Composition ◽

Service Oriented Architecture ◽

Web Service Composition ◽

Automated System ◽

Ai Planning ◽

Dynamic Factors ◽

Service Oriented ◽

Business Requirements ◽

Oriented System

Web Service Composition is one of the technologies in Service Oriented Architecture which significantly increases the flexibility and reusability of developing service-oriented system. One of the major problems which occurs in web service composition is the difficulties of maintaining the existing running web service composition solutions due to the changes of business requirements, deployment environment, and other dynamic factors. In this proposed work, an automated system had been built to autonomously execute the web service composition. To achieve this objective, the authors had embedded semantic engine and Prolog in C# program to automatically and dynamically discover, compose and execute web service composition, i.e. a web service composition could be self-configured to automatically recover from execution failure and automatically re-generate composition solution due to business protocol changes.

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Autonomic Execution of Web Service Composition Using AI Planning Method

Web Services ◽

10.4018/978-1-5225-7501-6.ch079 ◽

2019 ◽

pp. 1530-1550

Author(s):

Chao-Qun Yuan ◽

Fang-Fang Chua

Keyword(s):

Web Service ◽

Service Composition ◽

Service Oriented Architecture ◽

Web Service Composition ◽

Automated System ◽

Ai Planning ◽

Dynamic Factors ◽

Service Oriented ◽

Business Requirements ◽

The Web

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User Preference-Based Web Service Composition and Execution Framework

Advances in Systems Analysis, Software Engineering, and High Performance Computing - Advanced Research on Cloud Computing Design and Applications ◽

10.4018/978-1-4666-8676-2.ch009 ◽

2015 ◽

pp. 118-138 ◽

Cited By ~ 1

Author(s):

Bassam Al-Shargabi ◽

Omar Sabri

Keyword(s):

Web Services ◽

Web Service ◽

Service Composition ◽

Service Oriented Architecture ◽

Wide Spectrum ◽

Web Service Composition ◽

User Preferences ◽

User Preference ◽

Service Oriented ◽

Composition Process

the motivation behind this chapter is that Service Oriented architecture issued to compose an application as a set of services that are language and platform independent, communicate with each other, Therefore, user preferences rules in web service composition process plays crucial role and has opened a wide spectrum of challenge, In this chapter, an agent for composing web services based on user preferences was introduced to fulfill a certain process, where the user preferences are essential for determining which web service are to be selected. In other word, the agent designed to maintain the following function: an intelligent web services selection and planning based on user preferences(such as price or availability), along with web services execution, tracking and adaptation.

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