• Journal of Information Technology Services
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• v.4 no.2
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• pp.125-133
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• 2005

Because of paradigm change to web service, numerous institutes have been suggested supporting solution about web service, and actively developed system using web service but it is hard to find out a systematic study for web service performance enhancement. Generally, there are SOAP message processing improvement and configuration optimization of server viewpoint for web service performance enhancement. Web service performance enhancement through SOAP message processing improvement have been studied related research but configuration optimization of server is hard to find out a systematic tuning model and performance criteria. In this paper, I suggested performance testing based tuning model and criteria of configuration optimization of server viewpoint. We executed practical analysis using tuning model about web service in internet. This paper show that the proposed tuning model and performance criteria is applicable to web service performance enhancement.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.04a
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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.

• Journal of information and communication convergence engineering
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• v.19 no.4
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• pp.257-262
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• 2021

Providing web services to users has become expensive in recent times. For better web services, a web server is provided with high-performance technology. To achieve great web service experiences, tools such as general-purpose graphics processing units (GPGPUs), artificial intelligence, high-performance computing, and three-dimensional simulation are widely used. However, graphics processing units (GPUs) are used in high-speed operations and have limited general applications. In this study, we developed a task queue in a GPU to improve the performance of a web service using a multiprocessor and studied how to receive and process user requests in bulk. We propose the use of a GPGPU-based task queue to process user requests more than GPGPU based a central processing unit thread, and to process more GPU threads on task queue at about 136% to 233%, and proved that the proposed method is effective for web service.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.11a
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• pp.1365-1368
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• 2011

The Kalman Filter is one of the most common techniques of tracking mobile user. Web service is a promising method of reusing programs. Therefore, this paper presents our implementation of Kalman Filter web service. There are three ways of implementing a web service system. Ours is Kalman filter as RPC web service.

• Journal of Information Processing Systems
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• v.4 no.2
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• pp.53-60
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• 2008

The Web Services infrastructure is a distributed computing environment for service-sharing. Mechanisms for Web services Discovery proposed so far have assumed a centralized and peer-to-peer (P2P) registry. A discovery service with centralized architecture, such as UDDI, restricts the scalability of this environment, induces performance bottleneck and may result in single points of failure. A discovery service with P2P architecture enables a scalable and an efficient ubiquities web service discovery service that needs to be run in self-organized fashions. In this paper, we propose an autonomic -interleaving Registry Overlay Network (RgON) that enables web-services' providers/consumers to publish/discover services' advertisements, WSDL documents. The RgON, doubtless empowers consumers to discover web services associated with these advertisements within constant D logical hops over constant K physical hops with reasonable storage and bandwidth utilization as shown through simulation.

• Proceedings of the Korea Information Processing Society Conference
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• 2003.05a
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• pp.713-716
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• 2003

Semantic Web 환경을 구축하고, Semantic Web 환경에서 자동화된 서비스 발견, 서비스 수행, 서비스 구성과 상호운영이라는 Semantic web service를 수행할 수 있는 DAML-based web service 온톨로지를 이용하여 자동화된 항공권 예약 서비스와 테마별 여행 스케줄 서비스를 제공하는 프로토타이프 테스트 베드 구축에 대해 살펴 볼 것이다.

• The Transactions of the Korea Information Processing Society
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• v.6 no.10
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• pp.2772-2778
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• 1999

In this paper, we model management information for Internet service, and design and implement management architecture using CORBA and Web technologies. Concretely, we also extend WWW Service MIB so that it presents service management model which can manage WWW service effectively. We have developed management tool such as Map Editor and MIB Browser. SERVICE fault/performance/configuration management functions are also designed and implemented.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.1200-1202
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• 2003

Satellite and aerial images are very useful means to monitor ecological and environmental situation. Nowadays more and more officials at Ministry of Environment in Korea need to access and use these image data through networks like internet or intranet. However it is very hard to manage and service these image data through internet or intranet, because of its size problem. In this paper very large image data service system for Ministry of Environment is constructed on web environment using image compression and web based image processing technology. Through this system, not only can officials in Ministry of Environment access and use all the image data but also can achieve several image processing effects on web environment. Moreover officials can retrieve attribute information from vector GIS data that are also integrated with the system.

• Proceedings of the Korea Information Processing Society Conference
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• 2005.11a
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• pp.635-638
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• 2005

근래 들어 생명과학 및 생명정보에 대한 관심이 높아지면서, 활발한 연구 활동의 결과물로 많은 정보를 얻을 수 있게 되었다. 방대한 생명정보를 분석할 수 있는 많은 알고리즘이 개발되었으며, 웹 기술이 발달함에 따라 생명정보의 활용도가 높아져서 다양한 방법으로 정보 서비스가 가능하게 되었다. Web Services는 XML, SOAP, WSDL, UDDI를 사용하는 분산 컴포넌트 기반의 컴퓨팅 기술로 서비스를 제공하는 Service Provider와 서비스 제공자의 정보를 저장하는 Service Registry 및 서비스를 사용하는 Service Requestor로 구성된다. 본 논문에서는 바이오인포매틱스 분야에서 Web Services를 구성하는 모든 요소들을 개발한다. 특히 One-Stop Web Services는 GUI 환경의 인터페이스로 사용자에게는 용이한 실행 환경을 제공하고 있으며, Web Services 개발자에게는 사용자 인터페이스 개발 부담을 줄일 수 있다.

• Journal of Information Processing Systems
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• v.17 no.2
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• pp.426-439
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• 2021

To alleviate the cold-start problem and data sparsity in web service recommendation and meet the personalized needs of users, this paper proposes a personalized web service recommendation method based on a hybrid social network and multi-objective immune optimization. The network adds the element of the service provider, which can provide more real information and help alleviate the cold-start problem. Then, according to the proposed service recommendation framework, multi-objective immune optimization is used to fuse multiple attributes and provide personalized web services for users without adjusting any weight coefficients. Experiments were conducted on real data sets, and the results show that the proposed method has high accuracy and a low recall rate, which is helpful to improving personalized recommendation.