• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.1
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• pp.117-135
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• 2016

Performance enhancement is one of the most important issues in high performance distributed computing systems. In such computing systems, online users submit their jobs anytime and anywhere to a set of dynamic resources. Jobs arrival and processes execution times are stochastic. The performance of a distributed computing system can be improved by using an effective load balancing strategy to redistribute the user tasks among computing resources for efficient utilization. This paper presents a multi-class load balancing strategy that balances different classes of user tasks on multiple heterogeneous computing nodes to minimize the per-class mean response time. For a wide range of system parameters, the performance of the proposed multi-class load balancing strategy is compared with that of the random distribution load balancing, and uniform distribution load balancing strategies using simulation. The results show that, the proposed strategy outperforms the other two studied strategies in terms of average task response time, and average computing nodes utilization.

• Knowledge Management Research
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• v.10 no.1
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• pp.1-15
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• 2009

As pervasive computing technology, which aims to get linked to useful knowledge, information or services anytime, anywhere, using any devices and/or artifacts, is proliferating, desirable impacts on knowledge management systems are now available. The pervasive computing technology will potentially enable the knowledge management systems to realize individualization and socialization and ultimately increase the knowledge processing productivity. However, researchers who apply the pervasive computing methodologies to novel way of knowledge management have been very few. These result in unsatisfactory consideration of establishing pervasive knowledge management systems. Hence, the purpose of this paper is to cast the vision of pervasive knowledge management and search for a couple of possible research issues and possibilities. This paper suggests a framework of ubiDSS, an amended knowledge management system for the next generation deploying pervasive and autonomous knowledge acquisition capabilities of ubiquitous computing technologies. Also the CKAM, context-based knowledge acquisition module, is illustrated as a prototype of future knowledge management systems.

• Journal of Korea Multimedia Society
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• v.17 no.3
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• pp.353-363
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• 2014

Cloud computing is an internet-based technology, providing services to the virtualized IT environment, and allowing users to add or remove resources of hardware or software at their discretion. Since Cloud computing can construct virtually integrated environments out of multiple local computing environments, various information services can be provided by it. In addition, state organizations also strive to build the cloud computing environments due to the benefits of reduced costs to introduce the system and of reduced time to build and provide the IT services. This study suggests a web-based cloud computing system for the computing environments, to be applied for the Korean National Health and Nutrition Examination Survey (KNHANES) by the Ministry of Health and Welfare, Republic of Korea.

• Proceedings of the Korean Institute of Communication Sciences Conference
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• 2006.07a
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• pp.417-417
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• 2006

• Journal of Korea Society of Digital Industry and Information Management
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• v.8 no.1
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• pp.99-105
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• 2012

Given the numbers of smartphones, tablets and other mobile devices shipped every day, more and more users are relying on the cloud as the main driver for satisfying their computing needs, whether it is data storage, applications or infrastructure. Mobile cloud computing is simply cloud computing in which at least some of the devices involved are mobile. Each node is owned by a different user and is likely to be mobile. Using mobile hardware for cloud computing has advantages over using traditional hardware. These advantage include computational access to multimedia and sensor data without the need for large network transfer, more efficient access to data stored on other mobile devices and distributed ownership and maintenance of hardware. It is important to predict job execution time in mobile cloud computing because there are many mobile nodes with different capabilities. This paper analyzes the job execution time for mobile cloud computing in terms of network environment and heterogeneous mobile nodes using a mathematical model.

• Convergence Security Journal
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• v.14 no.4
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• pp.101-108
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• 2014

Recently, The cloud computing technology is emerging as an important issue in the world and the cloud computing has attracted much attention to the technology about carbon dioxide reduction. However, Unlike to the positive aspects of a cloud computing are included several security vulnerabilities. For this reason, the carbon dioxide reduction of a cloud computing technology has a differences. Therefore, this paper will be analyzed to the carbon dioxide emission factors of a cloud computing through the cloud case studies related $CO_2$ emissions and experiments measured of $CO_2$ emissions a security system. and In the future, this is expected to be utilized as a basis for the security design and performance improvement.

• Convergence Security Journal
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• v.10 no.4
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• pp.77-82
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• 2010

Cloud computing is defined as numerous concepts by research institutions and scholars. However, due to the present business trend in the IT sector, emphasizing on cost and efficiency, cloud computing has been defined as a form of computing which can provide extendable mass storage components in the virtual environment. As a result, security issues have been arising due to the variety of cloud computing services provided by the industries. This paper aims to analyze the weaknesses such as security techniques and inquiries, and personal information protection required for various cloud computing services.

• Journal of the Korean Society of Systems Engineering
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• v.1 no.2
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• pp.5-11
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• 2005

Ubiquitous computing is an emerging technic for various areas such as public, private (individual), military, industrial, medical sectors. The applications of ubiquitous computing are expected to be prevailed from home to office. Unfortunately, it is not effective to apply existing system/software development methodologies into this emerging ubiquitous computing applications. In this paper, MBASE (Model-Based system Architecting and Software Engineering) is applied as a development method of ubiquitous computing applications. The advantage of MBASE is to identify mismatches of product, process, property, and success models and resolve them in developing the ubiquitous computing applications. A SmartView, a ubiquitous computing application, is presented as a case study o f MBASE.

• Journal of Digital Contents Society
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• v.12 no.3
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• pp.319-327
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• 2011

Cloud computing is the probated transmission-platform that provide the enterprise or individual with efficient and cost-effective IT service on internet. Cloud computing serve as data or computing is moved from desktop or portable PC to the massive data center. Searching for the services offered by cloud computing indicates that their current service feature needs to be improved to satisfy current and future customers. This study attempted to satisfy this need by identifying the service's features for the cloud computing service environment through qualitative approaches. Finally, we classify into seven features(Security, Reliability, Availability, Inter-operating, Economic, Intellectual Property) of cloud computing service.

• International Journal of Internet, Broadcasting and Communication
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• v.13 no.2
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• pp.1-6
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• 2021

For competitive hotel business, the hotel must have a sound prediction capability to balance the demand and supply of hospitality products. To have a sound prediction capability in the hotel, it should be prepared to be equipped with a new technology such as quantum computing. The quantum computing is a brand new cutting-edge technology. It will change hotel business and even the whole world too. Therefore, we study the impact of quantum computing on supply chain management (SCM) and hotel performance. Toward the goal we have developed the research model including six constructs: quantum (computing) prediction, communication, supplier relationship, service quality, non-financial performance, and financial performance. The result of the study shows a significant influence of quantum (computing) prediction on hotel performance through the mediating role of SCM in the hotel. Quantum prediction is highly significant in enhancing the SCM in the hotel. However, the direct effect between the quantum prediction and hotel performance is not significant. The finding indicates that hotels which would install the quantum computing technology and utilize the quantum prediction could hugely benefit from the performance improvement.