• Journal of Internet Computing and Services
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• v.19 no.1
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• pp.37-47
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• 2018

The number of capabilities of Internet of Things (IoT) devices will exponentially grow over the next years. These devices may generate a vast amount of time-constrained data. In the context of IoT, data management should act as a layer between the objects and devices generating the data and the applications accessing the data for analysis purposes and services. In addition, most of IoT services will be content-centric rather than host centric to increase the data availability and the efficiency of data delivery. IoT will enable all the communication devices to be interconnected and make the data generated by or associated with devices or objects globally accessible. Also, fog computing keeps data and computation close to end users at the edge of network, and thus provides a new breed of applications and services to end users with low latency, high bandwidth, and geographically distributed. In this paper, we propose Edge-Fog cloud-based Hierarchical Data Delivery ($EFcHD^2$) method that effectively and reliably delivers IoT data to associated with IoT applications with ensuring time sensitivity. The proposed $EFcHD^2$ method stands on basis of fully decentralized hybrid of Edge and Fog compute cloud model, Edge-Fog cloud, and uses information-centric networking and bloom filters. In addition, it stores the replica of IoT data or the pre-processed feature data by edge node in the appropriate locations of Edge-Fog cloud considering the characteristic of IoT data: locality, size, time sensitivity and popularity. Then, the performance of $EFcHD^2$ method is evaluated through an analytical model, and is compared to fog server-based and Content-Centric Networking (CCN)-based data delivery methods.

• KIPS Transactions on Computer and Communication Systems
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• v.10 no.3
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• pp.59-70
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• 2021

With the recent advancements in the Internet of Things, context-aware system that provides customized services become important to consider. The existing context-aware systems analyze data generated around the user and abstract the context information that expresses the state of situations. However, these datasets is mostly unstructured and have difficulty in processing with simple approaches. Therefore, providing context-aware services using the datasets should be managed in simplified method. One of examples that should be considered as the unstructured datasets is a deep learning application. Processes in deep learning applications have a strong coupling in a way of abstracting dataset from the acquisition to analysis phases, it has less flexible when the target analysis model or applications are modified in functional scalability. Therefore, an abstraction model that separates the phases and process the unstructured dataset for analysis is proposed. The proposed abstraction utilizes a description name Analysis Model Description Language(AMDL) to deploy the analysis phases by each fat client is a specifically designed instance for resource-oriented tasks in edge computing environments how to handle different analysis applications and its factors using the AMDL and Fat client profiles. The experiment shows functional scalability through examples of AMDL and Fat client profiles targeting a vehicle image recognition model for vehicle access control notification service, and conducts process-by-process monitoring for collection-preprocessing-analysis of unstructured data.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.10
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• pp.1551-1558
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• 2022

We propose a two-tier cooperative computing system comprised of a mobile device and an edge server for partial offloading of multi-branch structures in Fog/Edge Computing environments in this paper. The proposed system includes an algorithm for splitting up application service processing by using reconstructive linearization techniques for multi-branch structures, as well as an optimal collaboration algorithm based on partial offloading between mobile device and edge server. Furthermore, we formulate computation offloading and CNN layer scheduling as latency minimization problems and simulate the effectiveness of the proposed system. As a result of the experiment, the proposed algorithm is suitable for both DAG and chain topology, adapts well to different network conditions, and provides efficient task processing strategies and processing time when compared to local or edge-only executions. Furthermore, the proposed system can be used to conduct research on the optimization of the model for the optimal execution of application services on mobile devices and the efficient distribution of edge resource workloads.

• Proceedings of the Korean Institute of Communication Sciences Conference
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• 1998.10a
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• pp.226-229
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• 1998

• 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.

• Proceedings of the Korean Information Science Society Conference
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• 2001.04a
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• pp.373-375
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• 2001

세계적인 인터넷을 통하여 인터넷 텔레포니는 폭발적으로 성장하고 있으며 무한한 성장가능성이 있다. 이에 따라 인터넷 텔레포니에 대한 표준안은 IETE(Internet Engineering Task Force)와 ITU(International Telecommunications Union)등에서 제시하고 있다. 또한 인터넷 텔레포니에 이동성과 멀티케스트 지원방안에 대한 방법을 제시하고 있고, 지금까지 제시된 방법을 기반으로 인터넷 텔레포니에서 Diffserv의 에지에서 멀티케스트용 패킷을 제한하는 방법으로 QoS(Qoality of Service)제공 서비스를 하여 다자간 통화 즉, QoS를 제공하는 다자간 통화 서비스를 할 수 있도록 본 논문은 제안한다.

• Annual Conference of KIPS
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• 2022.11a
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• pp.150-152
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• 2022

F2C(Fog-to-Cloud) 환경에서 클라우드와 포그는 긴밀하게 협업하여, 동적으로 작용하며 서비스를 제공할 수 있어야 한다. 이에 본 논문에서는 기존 클라우드/서버 컴퓨팅에서 클라우드 서버 중심의 단방향 서비스 이미지 배포대신에 레지스트리를 이용하여 클라우드, 포그, 그리고 에지까지 서비스 이미지를 배포 가능하게 하여, 동적인 서비스 상호운용이 가능한 시스템을 제안하였다. 또한, 클라우드, 포그에 레지스트리 이미지를 설치하고, 서비스 이미지 등록을 통해 서비스 배포, 실행되는 시스템을 구현하였다.

• Annual Conference of KIPS
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• 2024.05a
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• pp.869-870
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• 2024

다양한 형태의 다수 에이전트가 서비스하는 환경에서 사용자가 요청하는 서비스 명령은 단순할수록 사용성이 좋다. 하나의 서비스는 다양한 로봇이 유기적으로 수행해야 하며, 사용자가 서비스 명령에 대해 요구사항을 추가하면 이를 다수 로봇이 적절하게 처리하는 방법이 필요하다. 본 논문에서는 사용자가 요청한 서비스에 대해 로봇의 동작은 노드로, 동작 간의 관계는 에지로 표현하고 이를 통해 스케줄링 하는 방법론을 제공한다. 실험 결과, 다수 로봇 환경에서 사용자의 요구사항을 동적으로 대응하며 효율적으로 서비스가 수행됨을 확인하였다.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.38 no.10
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• pp.10-17
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• 2001

For high-speed Internet services, considerations on interworking methods are required for interworking between networks with different technologies. lnterworking and structures in interworking point nodes can affect on transfer efficiency. This paper proposes interworking procedures and functions of the edge routers for overhead reduction in MPOA-MPLS networks. The MPLS networks can be based on ATM technology. Therefore, we consider ATM seamless connections for the interworking and compare the proposed method with that without seamless connection. We perform computer simulations to get both of the transfer delays and throughputs for the comparison., we describe required interworking functions and operations in the edge routers.

• Proceedings of the IEEK Conference
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• 2003.07a
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• pp.406-409
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• 2003

본 논문에서는 인터넷 QoS(Quality of Service)보장을 위하여 제안된 Diff-Serv(Differentiated Service)모델을 구현하고, QoS 를 보장하지 않는 BE(Best Effort)서비스와 우선 순위가 높은 패킷을 처리하여 QoS 를 보장하는 EF(Expedited Forwarding) 서비스의 차이를 통하여 Diff-Serv 망의 우수성을 입증하고자 한다. Diff-Serv 망은 BB(Bandwidth Broker)와 에지라우터 그리고 다수의 코어라우터로 구성된다. BB 로부터 라우터에 QoS Policy를 전송하기 위하여 COPS(Common Open Policy Service) 프로토콜을 구현하였으며, 사용자와 BB 사이의 SLAT/RAR(Service Level Agreement/Resource Allocation Request)를 처리하기 위하여 Admission Control 이라는 명명한 자체 프로토콜을 개발하였다. 구현된 Diff-Serv 망에서 QoS 보장 테스트를 위하여 19.2Mbps 대역폭이 요구되는 HDTV 스트리밍 서비스를 이용하여 인위적으로 Background Traffic 을 발생시켰을 때, BE 서비스만을 지원하는 망에서는 현저하게 서비스의 질이 떨어지는 반면에 Diff-Serv 망에서는 QoS가 보장됨을 알 수 있었다.