• KIPS Transactions on Software and Data Engineering
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• v.11 no.4
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• pp.163-168
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• 2022

As cloud computing and the Internet of things are getting popular, the number of devices in the Internet of things computing environments is increasing. In addition, there exist various Internet-based applications, such as home automation and healthcare. In turn, existing studies explored the quality of service, such as downtime and reliability of tasks for Internet of things applications. To enhance the quality of service of Internet of things applications, cloud-fog computing (combining cloud computing and edge computing) can be used for offloading burdens from the central cloud server to edge servers. However, when devices inherit the mobility property, continuity and the quality of service of Internet of things applications can be reduced. In this paper, we propose a resource management scheme based on live migrations for mobility support in edge-based fog computing environments. The proposed resource management algorithm is based on the mobility direction and pace to predict the expected position, and migrates tasks to the target edge server. The performance results show that our proposed resource management algorithm improves the reliability of tasks and reduces downtime of services.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.16 no.1
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• pp.77-82
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• 2016

Recently, an IoT(Internet of Things) application communication protocol is standardizing for connectivity between every things on Internet. In this paper, we design and implement an indoor resource control service using IETF (Internet Engineering Task Force) CoAP (Constrained Application Protocol) based on Web. We present an indoor resource control architecture based on Web included functionalities of proxy and RD (Resource Directory) in a web server. Developed indoor resource control service supports to register low-powered and small-scale IoT nodes to web server using CoAP. This service allows users to control the indoor resources through a web browser using Web proxy with functionality of HTTP-CoAP converting.

• Journal of Internet Computing and Services
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• v.4 no.6
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• pp.13-24
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• 2003

Grid technology requires use of geographically distributed resources from multiple domains. Resource monitoring services or tools consisting sensors or agents will run on many systems to find static resource information (such as architecture vendor, OS name and version, MIPS rate, memory size, CPU capacity, disk size, and NIC information) and dynamic resource information (CPU usage, network usage(bandwidth, latency), memory usage, etc.). Thus monitoring itself may cause system overhead. This paper proposes the optimal monitoring interval to reduce the cost of monitoring services and the dynamic monitoring interval to measure monitoring events accurately. By employing two features, we find out unnecessary system overhead is significantly reduced and accuracy of events is still acquired.

• Journal of KIISE
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• v.42 no.11
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• pp.1423-1429
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• 2015

The Internet of Things (IoT) is a new concept associated with the future Internet, and it has recently become a popular concept to build a dynamic, global network infrastructure. However, the deployment of IoT creates difficulties in satisfying different Quality of Service (QoS) requirements and achieving rapid service composition and deployment. In this paper, we propose a new QoS control scheme for IoT systems. The Markov game model is applied in our proposed scheme to effectively allocate IoT resources while maximizing system performance. The results of our study are validated by running a simulation to prove that the proposed scheme can promptly evaluate current IoT situations and select the best action. Thus, our scheme approximates the optimum system performance.

• Review of Korean Society for Internet Information
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• v.13 no.4
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• pp.54-59
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• 2012

• Review of Korean Society for Internet Information
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• v.6 no.2
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• pp.127-139
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• 2005

• Review of Korean Society for Internet Information
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• v.4 no.2
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• pp.82-87
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• 2003

• Proceedings of the Korean Family Resource Management Association Conference
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• 2001.11a
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• pp.9-17
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• 2001

• Proceedings of the Korean Family Resource Management Association Conference
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• 2001.11a
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• pp.37-51
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• 2001

• Proceedings of the Korean Family Resource Management Association Conference
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• 2000.11a
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• pp.34-49
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• 2000