• Proceedings of the Korea Contents Association Conference
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• 2004.11a
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• pp.314-317
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• 2004

With the advance of network and software infrastructure, Grid-computing technology on a cluster of heterogeneous computing resources becomes pervasive. Grid computing is required a coordinated use of an assembly of distributed computers, which are linked by WAN. As the number of grid system components increases, the probability of failure in the grid computing is higher than that in a traditional parallel computing. To provide the robustness of grid applications, fault detection is critical and is essential elements in design and implementation. In this paper, a OGSA based process fault-detection services presented to provide high reliability under low network traffic environment.

• 한국IT서비스학회:학술대회논문집
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• 2007.05a
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• pp.385-390
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• 2007

유비쿼터스 서비스는 운전자, 헬스케어 관련 종사자, 일반 시민 등 모바일 사용자를 위한 서비스를 포괄하고 있다. 이러한 서비스들은 단말 장치로부터 발생하는 다양한 정보들을 수집, 가공하여 개인들에게 제공할 수 있도록 한다. 최근에 진행되고 있는 u-City 에서는 건강과 교육, 가정 환경에서 일어나는 다양한 이벤트들을 기반으로 상황에 따라 개인화된 서비스를 거주지, 거리, 빌딩, 공공 장소 같은 다양한 환경에 제공하려 하고 있다. 최근의 표준화 논의에서는 다양한 공공 서비스와 상용/민간 서비스를 지원하기 위해 공유할 수 있는 단말, 네트워크, 센터, 소프트웨어 인프라스트럭처가 필요하다는 공감대가 형성되어 표준화 논의가 활성화되고 있다. 본 논문에서 소개하는 TOPAZ는 서비스 기반의 유비쿼터스 컴퓨팅 인프라스트럭처로 다양한 유비쿼터스 서비스들이 웹 서비스를 통해 인프라스트럭처를 사용하여 쉽게 개발, 배포, 운용될 수 있게 해준다. 본 논문에서는 TOPAZ의 필요성과 서비스 컴포넌트들에 대해 서술하고 유틸리티 컴퓨팅의 입장에서 본 서비스의 질, 서비스 미터링, 자원 관리, Scalability 등의 고려 사항과 해결 방법을 제시하고 TOPAZ의 성능, 적용 결과 등을 소개한다.

• International Journal of Knowledge Content Development & Technology
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• v.10 no.3
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• pp.7-20
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• 2020

This study examined the awareness and use of cloud computing services by librarians in selected universities in Edo State. A descriptive survey research design was employed and the instrument used was questionnaire. The population of the study was 132 professional and Para-professional librarians. The total enumeration technique was used to select the entire population because the size was manageable. Simple percentage, frequency count, and mean were used to analyze the data collected. From the analysis of data gathered, it was found that the librarians are aware of the use of OCLC, world cat, and Google docs to a very high extent. It was found that the librarians used cloud computing services and technologies for collection development functions and cataloging. Based on the findings it was recommended that management of the libraries should support librarians by providing adequate funding to the library in order to support the acquisition and maintenance of infrastructure for cloud computing.

• Journal of Information Processing Systems
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• v.8 no.4
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• pp.555-566
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• 2012

The cloud environment makes it possible to analyze large data sets in a scalable computing infrastructure. In the bioinformatics field, the applications are composed of the complex workflow tasks, which require huge data storage as well as a computing-intensive parallel workload. Many approaches have been introduced in distributed solutions. However, they focus on static resource provisioning with a batch-processing scheme in a local computing farm and data storage. In the case of a large-scale workflow system, it is inevitable and valuable to outsource the entire or a part of their tasks to public clouds for reducing resource costs. The problems, however, occurred at the transfer time for huge dataset as well as there being an unbalanced completion time of different problem sizes. In this paper, we propose an adaptive resource-provisioning scheme that includes run-time data distribution and collection services for hiding the data transfer time. The proposed adaptive resource-provisioning scheme optimizes the allocation ratio of computing elements to the different datasets in order to minimize the total makespan under resource constraints. We conducted the experiments with a well-known sequence alignment algorithm and the results showed that the proposed scheme is efficient for the cloud environment.

• Journal of the Korea Society of Computer and Information
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• v.14 no.1
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• pp.127-134
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• 2009

Recently, much research have been done on ubiquitous computing models in advanced countries as well as in Korea. Ubiquitous computing is defined as a computing environment that isn't bounded by time and space. Different kinds of computers are embedded in artifacts, devices, and environment, thus people can be connected everywhere and every time. To recognize user's emotion, facial expression, temperature, humidity, weather, and lightning factors are used for building ontology. Ontology Web Language (OWL) is adopted to implement ontology and Jena is used as an emotional inference engine. The context-awareness service infrastructure suggested in this research can be divided into several modules by their functions.

• Journal of information and communication convergence engineering
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• v.6 no.3
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• pp.348-352
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• 2008

In distributed computing paradigm, mobile surrogate systems migrates from on host in a network to another. However, Mobile surrogate system have not gained wide acceptance because of security concerns that have not been suitably addressed yet. In this paper, we propose a security framework based on Grid Proxy Gateway for mobile Grid service. The current Grid Security Infrastructure is extended to mobile computing environments. The surrogate host system designed for mobile Personal Digital Assistant (PDA) users can access the certified host and get his proxy credential to launch remote job submission securely.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.10a
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• pp.351-354
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• 2012

The core of cloud computing is to provide efficient computing resource sharing. In this paper, we have designed and implemented a virtual computer lab system using open source cloud computing infrastructure. The proposed virtual computer lab system can be used to reduce computer upgrade and maintenance cost significantly.

• Korean Journal of Computational Design and Engineering
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• v.10 no.6
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• pp.402-411
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• 2005

Context-aware engineering services in ubiquitous environments are emerging as a viable alternative to traditional engineering services. Most of the previous approaches are computer-centered rather than human-centered. In this paper, we present a Ubiquitous and Context-Aware computing Framework for collaborative virtual Engineering $(U-CAF\acute{E})$ services. The proposed approach utilizes BPEL-based (Business Process Execution Language) process templates for engineering service orchestration and choreography and adopts semantic web-based context-awareness for providing human-centered engineering services. The paper discusses how to utilize engineering contexts and share this knowledge in support of collaborative virtual engineering services and service interfaces. The paper also discusses how Web services and JINI (Java Intelligent Network Infrastructure) services are utilized to support engineering service federations and seamless Interactions among persons, devices, and various kinds of engineering services.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.1284-1286
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• 2003

There is a growing demand on remotely sensed and GIS data services in modern society. However, conventional WEB applications based on client/server pattern can not meet the criteria in the future . Grid computing provides a promising resolution for establishing spatial information system toward future applications. Here, a new architecture of the distributed environment for remotely sensed data processing based on the middleware technology was proposed. In addition, in order to utilize the new environment, a problem had to be algorithmically expressed as comprising a set of concurrently executing sub-problems or tasks. Experiment of the algorithm was implemented, and the results show that the new environmental can achieve high speedups for applications compared with conventional implementation.

• Electronics and Telecommunications Trends
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• v.34 no.1
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• pp.23-35
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• 2019

In the upcoming post-app era, real-time, intelligent and immersive services such as autonomous vehicles, virtual secretaries, virtual reality, and augmented reality are expected to dominate. However, there is a growing demand for new networking and computing infrastructure capabilities because existing physical connection-oriented networks and centralized cloud-based service environments have inherent limitations to effectively accommodate these services. To this end, research on intelligent edge network computing technology is underway to analyze the contextual situation of human and things and to configure the service environment on the network edge so that the application services can be performed optimally. In this article, we describe the technology issues for edge network intelligence and introduce related research trends.