• Journal of the Korean Society for Industrial and Applied Mathematics
• /
• 제10권1호
• /
• pp.83-93
• /
• 2006

본 논문에서는 유비쿼터스 컴퓨팅 환경에서 규칙 기반의 네트워크 장애 복구 시스템을 제안한다. 이 시스템은 유비쿼터스 컴퓨팅 환경에서 네트워크에 장애가 발생하였을 때, 정해진 규칙을 기반으로 장애를 스스로 복구할 수 있는 장애 관리 시스템이다. 시스템에 적용되는 규칙들을 네트워크 장애의 원인으로 분류하여 제시하였다. 그리고 본 논문에서는 네트워크 장애 복구 시스템이 각 상황에 맞게 규칙이 적용됨을 시뮬레이션을 통해 증명하였다.

• Structural Monitoring and Maintenance
• /
• 제7권2호
• /
• pp.109-124
• /
• 2020

Benefiting from the massive monitoring data collected by the Structural health monitoring (SHM) system, scholars can grasp the complex environmental effects and structural state during structure operation. However, the monitoring data is often missing due to sensor faults and other reasons. It is necessary to study the recovery method of missing monitoring data. Taking the structural temperature monitoring data of Nanjing Dashengguan Yangtze River Bridge as an example, the long short-term memory (LSTM) network-based recovery method for missing structural temperature data is proposed in this paper. Firstly, the prediction results of temperature data using LSTM network, support vector machine (SVM), and wavelet neural network (WNN) are compared to verify the accuracy advantage of LSTM network in predicting time series data (such as structural temperature). Secondly, the application of LSTM network in the recovery of missing structural temperature data is discussed in detail. The results show that: the LSTM network can effectively recover the missing structural temperature data; incorporating more intact sensor data as input will further improve the recovery effect of missing data; selecting the sensor data which has a higher correlation coefficient with the data we want to recover as the input can achieve higher accuracy.

• 한국정보통신설비학회:학술대회논문집
• /
• 한국정보통신설비학회 2009년도 정보통신설비 학술대회
• /
• pp.285-288
• /
• 2009

The emergency recovery scheme in time of a disaster or accident up to now has been focused on how to build a backup for the public service or communication network in national scale, also, all the mobile operators have done as recovery scheme for the equipment failure in their network was to make a backup copy of billing data or package data, and they have usually studied only on the backup and failure recovery scheme in the circuit-switched network. However, since it has become more probable recently that a disaster or accident could occur in the switching office buildings, a recovery scheme in time of the failure of these entire switching offices became necessary. The purpose of this paper is to propose various recovery schemes, and by having checkups on many issues that could arise while carrying out these schemes, it presents the best solution for each issue. Moreover, it presents the future tasks that need to be studied as well as initial study directions.

• 전자공학회논문지SC
• /
• 제47권2호
• /
• pp.50-54
• /
• 2010

반감(半減)되는 특성을 가진 폴딩 스너버 망을 내포하므로 소프트하게 역 복귀 되는 새로운 형태의 의사 공진 펄스 폭 변조 컨버터를 소개한다. 이 컨버터는 이미 소개된 기존의 QRC에 단지 수동소자만으로 구성된 폴딩 스너버를 결합하여 구현시켰다. 이용된 수동소자는 단지 다이오드와 케페시터로 구성되었다. 이렇게 제안된 펄스 폭 변조 컨버터의 효율은 매우 높아 대 전류를 출력시키는 DC-DC 컨버터의 응용에 매우 적합하다.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제13권9호
• /
• pp.4572-4586
• /
• 2019

Mobile Edge Computing (MEC) and Information-Centric Networking (ICN) are essential network architectures for the future Internet. The advantages of MEC and ICN such as computation and storage capabilities at the edge of the network, in-network caching and named-data communication paradigm can greatly improve the quality of video streaming applications. However, the packet loss in wireless network environments still affects the video streaming performance and the existing loss recovery approaches in ICN does not exploit the capabilities of MEC. This paper proposes a Deep Learning based Loss Recovery Mechanism (DL-LRM) for video streaming over MEC based ICN. Different with existing approaches, the Forward Error Correction (FEC) packets are generated at the edge of the network, which dramatically reduces the workload of core network and backhaul. By monitoring network states, our proposed DL-LRM controls the FEC request rate by deep reinforcement learning algorithm. Considering the characteristics of video streaming and MEC, in this paper we develop content caching detection and fast retransmission algorithm to effectively utilize resources of MEC. Experimental results demonstrate that the DL-LRM is able to adaptively adjust and control the FEC request rate and achieve better video quality than the existing approaches.

• 한국멀티미디어학회논문지
• /
• 제24권3호
• /
• pp.431-439
• /
• 2021

Since the sensor nodes are randomly arranged in the region of interest, it may happen that the sensor network area is separated or there is no sensor node in some area. In addition, after the sensor nodes are deployed in the sensor network, a coverage hole may occur due to the exhaustion of energy or physical destruction of the sensor nodes. The coverage hole can greatly affect the overall performance of the sensor network, such as reducing the data reliability of the sensor network, changing the network topology, disconnecting the data link, and worsening the transmission load. Therefore, sensor network coverage hole recovery has been studied. Existing coverage hole recovery studies present very complex geometric methods and procedures in the two-step process of finding a coverage hole and recovering a coverage hole. This study proposes a method for discovering and recovering a coverage hole in a sensor network, discovering that the sensor node is a boundary node by itself, and determining the location of a mobile node to be added. The proposed method is expected to have better efficiency in terms of complexity and message transmission compared to previous methods.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제9권12호
• /
• pp.5116-5134
• /
• 2015

In this paper, due to the network security defense is mainly static defense, a dynamic classification network security defense strategy model is proposed by analyzing the security situation of complex computer network. According to the network security impact parameters, eight security elements and classification standard are obtained. At the same time, the dynamic classification algorithm based on fuzzy theory is also presented. The experimental analysis results show that the proposed model and algorithm are feasible and effective. The model is a good way to solve a safety problem that the static defense cannot cope with tactics and lack of dynamic change.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제11권11호
• /
• pp.5200-5222
• /
• 2017

The separation of control plane and data plane in Software Defined Network (SDN) makes it flexible to control the network behavior, while also causes some inconveniences to the link failure recovery due to the delay between fail point and the controller. To avoid delay and packet loss, pre-defined backup paths are used to reroute the disrupted flows when failure occurs. However, it may introduce large overhead to build and maintain these backup paths and is hard to dynamically construct backup paths according to the network status so as to avoid congestion during rerouting process. In order to realize congestion aware fast link failure recovery, this paper proposes a novel method which installs multi backup paths for every link via source routing and per-hop-tags and spread flows into different paths at fail point to avoid congestion. We carry out experiments and simulations to evaluate the performance of the method and the results demonstrate that our method can achieve congestion aware fast link failure recovery in SDN with a very low overhead.

• 한국게임학회 논문지
• /
• 제15권1호
• /
• pp.171-184
• /
• 2015

기존 게임 관련 연구를 살펴보면 게임의 수용, 사용자 만족, 지속사용 의도, 구전 의도와 같은 연구는 수없이 많이 진행되어 왔으나 서비스 회복의 개념을 게임 연구에 적용시킨 사례는 전무한 상태이다. 본 연구는 국내 주요 모바일 소셜 네트워크 게임 플랫폼인 카카오톡 게임을 중심으로 모바일 소셜 네트워크 게임 특성이 서비스 회복에 미치는 영향을 알아보고자 한다. 또한 공정성 이론과 혁신 확산 이론을 바탕으로 모바일 소셜 네트워크 게임 특성 요인을 분석하고 해당 요인들과 서비스 회복과의 인과관계를 규명하였다. 그 결과 적합성을 제외한 모든 모바일 소셜 네트워크 게임 특성이 서비스 회복에 직 간접적인 영향을 미친다는 사실을 밝혀냈다. 이러한 연구결과는 향후 게임 산업의 새로운 비즈니스 모델을 제시하고 위험 요소를 줄여주며 게임 관련 연구의 발전에 기여할 수 있는 참고자료로 활용될 것이라고 기대하고 있다.

• 한국통신학회논문지
• /
• 제29권7B호
• /
• pp.650-659
• /
• 2004

국내 무선 네트워크 환경은 사용자의 서비스 요구 수용과 시장 성장으로 인해 빠르게 변화하고 있다. 이에 따라 무선 구간에서 TCP(transmission control protocol)를 이용한 신뢰성 있는 데이터 전송도 늘어날 전망이다. TCP는 유선 네트워크에서 사용함을 가정으로 만들어졌기 때문에 무선에서 발생할 수 있는 비 혼잡 손실에 의해 많은 성능 저하를 겪을 수 있다. 특히 RTO(retransmission timeout)은 TCP의 성능에 많은 영향을 미친다. 본 논문에서는 송신단에서 fast recovery과정 중에 발생한 패킷 손실을 빠르게 감지하여 RTO없이 복구함으로써 성능저하를 줄일 수 있는 DAC$^{＋}$(Duplicate Acknowledgement Counting)와 EFR(Extended Fast Recovery)을 제안한다. 제안 알고리듬을 TCP NewReno와 비교했을 때 정상 상태에서 fast recovery 확률이 높고, 이에 따른 RTO 감소로 인해 response time이 줄어드는 것을 확인할 수 있다.