• 제목/요약/키워드: Web Services

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Genie: 온톨로지 기반 시맨틱 웹 서비스 합성 시스템 (Genie: A Semantic Web Services Composition System base on Ontology)

  • 오지훈;시대근;정영식;한성국
    • 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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    • 제10권5호
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    • pp.394-405
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    • 2004
  • 웹 서비스 자동화를 위해서는 웹 서비스 자동발견(Automatic Web Services Discovery) 기능, 자동 실행(Automatic Web Services Execution), 자동 구성과 상호운용(Automatic Web Services Composition and Interoperation)이 가능해야 한다. 본 연구에서는 웹 서비스 합성(Web Services Composition)에 중점을 둔다. 웹 서비스의 입력 및 출력 정보를 비롯하여 프리컨디션(precondition), 포스트컨디션(postcondition), 웹 서비스 제공자 정보, 웹 서비스 위치 정보 등과 같은 웹 서비스 기본 사항들과 웹 서비스 합성을 의미 기반으로 수행하기 위한 웹 서비스의 수행(action)타입, 서비스 객체(object)와 같은 의미적 요소들을 온톨로지(ontology)를 이용하여 기술한다. 그러므로 기존의 WSDL(Web Service Description Language)이 한계점을 드러냈던 서비스에 대한 의미 정보 기술이 가능하다 또한, 웹 서비스간의 의미적 상호운용을 지원함으로써 자연스럽게 내부 또는 외부의 이질적인 어플리케이션간의 통합 서비스를 제공하고 새로운 비즈니스 시스템과의 통합도 자동적으로 이루어지게 하는 웹 서비스 합성 시스템 Genie를 개발한다.

웹 서비스 분석기의 디자인과 구현 (Design and Implementation of Public Web Services Analyzer)

  • ;한동수
    • 한국정보과학회:학술대회논문집
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    • 한국정보과학회 2005년도 가을 학술발표논문집 Vol.32 No.2 (1)
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    • pp.241-243
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    • 2005
  • Web services (WS) present a new promising software technology, which provides application-to-application interaction. They are built on the top of existing web protocol and based on open XML standards. Web services are described using WSDL, and the UDDI is a integration directory provide registry of Web Services descriptions. WSDL provides information of Web Services but it is getting more and more important to know more than those provided by WSDL. From WSDL we can not get the information like usage of WS, performance of WS, complexity of WS, usability of WS with other web service. In this paper, we proposed a new method for Web Services so called Public Web Services Analyzer (PWSA). This technique is based on analyzing various public UDDI registries in order to get various kinds of statistics of web services. Those statistics will be used by both web services developers and consumers for finding them suitable services for their needs. PWSA guarantees that it can provide enough information to find right web services for both Web Services Consumers and Web Service Developers.

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Machine Learning Methods for Trust-based Selection of Web Services

  • Hasnain, Muhammad;Ghani, Imran;Pasha, Muhammad F.;Jeong, Seung R.
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제16권1호
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    • pp.38-59
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    • 2022
  • Web services instances can be classified into two categories, namely trusted and untrusted from users. A web service with high throughput (TP) and low response time (RT) instance values is a trusted web service. Web services are not trustworthy due to the mismatch in the guaranteed instance values and the actual values achieved by users. To perform web services selection from users' attained TP and RT values, we need to verify the correct prediction of trusted and untrusted instances from invoked web services. This accurate prediction of web services instances is used to perform the selection of web services. We propose to construct fuzzy rules to label web services instances correctly. This paper presents web services selection using a well-known machine learning algorithm, namely REPTree, for the correct prediction of trusted and untrusted instances. Performance comparison of REPTree with five machine learning models is conducted on web services datasets. We have performed experiments on web services datasets using a ten k-fold cross-validation method. To evaluate the performance of the REPTree classifier, we used accuracy metrics (Sensitivity and Specificity). Experimental results showed that web service (WS1) gained top selection score with the (47.0588%) trusted instances, and web service (WS2) was selected the least with (25.00%) trusted instances. Evaluation results of the proposed web services selection approach were found as (asymptotic sig. = 0.019), demonstrating the relationship between final selection and recommended trust score of web services.

A QoS-aware Web Services Selection for Reliable Web Service Composition

  • Nasridinov, Aziz;Byun, Jeongyong
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2012년도 춘계학술발표대회
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    • pp.586-589
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    • 2012
  • Web Services have been utilized in a wide variety of applications and have turned into a key technology in developing business operations on the Web. Originally, Web Services can be exploited in an isolated form, however when no single Web Service can satisfy the functionality required by a user, there should be a possibility to compose existing services together in order to fulfill the user requirement. However, since the same service may be offered by different providers with different non-functional Quality of Service (QoS), the task of service selection for Web Service composition is becoming complicated. Also, as Web Services are inherently unreliable, how to deliver reliable Web Services composition over unreliable Web Services should be considered while composing Web Services. In this paper, we propose an approach on a QoS-aware Web Service selection for reliable Web Service composition. In our approach, we select and classify Web Services using Decision Tree based on QoS attributes provided by the client. Service classifier will improve selection of relevant Web Services early in the composition process and also provide flexibility to replace a failed Web Services with a redundant alternative Web Services, resulting in high availability and reliability of Web Service composition. We will provide an implementation of our proposed approach along with efficiency measurements through performance evaluation.

병렬 웹 서비스를 이용한 조립체 모델 데이터의 획득 (Retrieval of Assembly Model Data Using Parallel Web Services)

  • 김병철;한순흥
    • 한국CDE학회논문집
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    • 제13권3호
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    • pp.217-226
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    • 2008
  • Web Services for CAD (WSC) aims at interoperation with CAD systems based on Web Services. This paper introduces one part of WSC which enables remote users to retrieve assembly model data using Web Services. However, retrieving assembly model data takes long time. To resolve this problem, this paper proposes using parallel Web Services. As assembly models comprise a set of part models, it is easy to separate the problem domain into smaller problems. In addition, Web Services inherently supports distributed computing. This characteristic makes the parallel processing of Web Services easy. Firstly, the implementation of WSC which retrieves assembly model data based parallel Web Services is shown. And then, for the comparison, the experiments on the retrieval of assembly model data based on single Web Services and parallel Web Services are shown.

sPAC(Web Service Performance Analysis Center): 성능 중심의 웹 서비스 조합 도구 (sPAC(Web Services Performance Analysis Center): A performance-aware web service composition tool)

  • 장희정;송형기;이강선
    • 한국시뮬레이션학회논문지
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    • 제14권3호
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    • pp.119-127
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    • 2005
  • Web services and their composition (web processes) are promising technologies to efficiently integrate disparate software components over various types of systems. As many web services are nowadays available on Internet, quality of services (QoS) and performance/cost become increasingly important to differentiating between similar service providers. In this work, we introduce sPAC (Web Services Performance Analysis Centre) and show how customers can benefit from sPAC to consider performance in composing and commercializing web services. sPAC 1) helps users to graphically describe the workflow of web services, 2) invokes web services to test out performance for light load conditions, 3) automatically converts the web services and the flow between them into a simulation model, 4) conducts extensive simulations for heavy load conditions and various usage patterns, and 5) reports analysis results and estimation data for the web services.

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웹 서비스 품질 기술 모델의 설계 (Design of Web Services Quality Description Model)

  • 윤석현;김동준;한상용
    • 한국전자거래학회:학술대회논문집
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    • 한국전자거래학회 2003년도 종합학술대회 논문집
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    • pp.224-229
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    • 2003
  • A Web service is a software system designed to support interoperable machine-to-machine interaction over a network. These systems may then interact with the Web service in a manner prescribed by its definition, using XML based such as SOAP, WSDL, UDDI messages conveyed by Internet protocols. Especially, UDDI is the Web Services Registry enabling to register and search Web Services, that takes charge of providing infrastructure for Web Services. However, the existing UDDI has a few problems that searching process is very simple and it cannot provide information of Web Services quality and quality-based retrieval. Therefore, this study suggest the Web Services quality description model that evaluates the Web Services quality.

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An Enhanced SOAP Message Processing System for Mobile Web Services

  • Kim Seok-Soo;Park Gil-Cheol
    • Journal of information and communication convergence engineering
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    • 제3권3호
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    • pp.157-162
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    • 2005
  • Web services are key applications in business­to-business, business-to-customer, and enterprise applications integration solutions. As the mobile internet becomes one of the main methods for information delivery, mobile Web Services are regarded as a critical aspect of e-business architecture. In this paper, we proposed a mobile Web Services middleware that converts conventional internet services into mobile Web services. We implemented a WSDL (Web Service Description Language) builder that converts HTML/XML into WSDL and a SAOP (Simple Object Access Protocol) message processor that performs SOAP message handling, chain and handling of server requests. The former minimizes the overhead cost of rebuilding mobile Web Services and enables seamless services between wired and wireless internet services. The latter enhances SOAP processing performance by eliminating the Servlet container (Tomcat), a required component of typical Web services implementation. Our main contributions are to overcome the latency problem of current Web Services and to provide an easy mobile Web service implementation. Our system can completely support standard Web Services protocol, minimizing communication overhead, message processing time, and server overload. Finally we compare our empirical results with those of typical Web Services.

XML 웹 서비스를 위한 임베디드 웹서버의 구현 (Implementation of Embedded Web Server for XML Web Services)

  • 김태국;장경배;박귀태
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2006년도 하계종합학술대회
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    • pp.131-132
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    • 2006
  • XML Web Services are a distributed computing component which enables users to use services existing in remote places by using a standardized language called XML. Web Services were developed as the cooperation and business scales between companies as businesses had been widened due to the improvement of internet services. For this reason, enterprise sized Web Services are mainly used at present. But as the number of Internet users has been increased, they became in need of more diverse services, and providing individual Web Services are also being more emphasized. Therefore, an Embedded Web Server for personal Web Services for embedded systems such as cell phones had been implemented in this paper. This paper shows the possibility of building up a small, personal sized Web Services Server not the enterprise sized one by doing real implementation.

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A machine learning framework for performance anomaly detection

  • Hasnain, Muhammad;Pasha, Muhammad Fermi;Ghani, Imran;Jeong, Seung Ryul;Ali, Aitizaz
    • 인터넷정보학회논문지
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    • 제23권2호
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    • pp.97-105
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    • 2022
  • Web services show a rapid evolution and integration to meet the increased users' requirements. Thus, web services undergo updates and may have performance degradation due to undetected faults in the updated versions. Due to these faults, many performances and regression anomalies in web services may occur in real-world scenarios. This paper proposed applying the deep learning model and innovative explainable framework to detect performance and regression anomalies in web services. This study indicated that upper bound and lower bound values in performance metrics provide us with the simple means to detect the performance and regression anomalies in updated versions of web services. The explainable deep learning method enabled us to decide the precise use of deep learning to detect performance and anomalies in web services. The evaluation results of the proposed approach showed us the detection of unusual behavior of web service. The proposed approach is efficient and straightforward in detecting regression anomalies in web services compared with the existing approaches.