• 제목/요약/키워드: Data Center Network

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Mobility-Based Clustering Algorithm for Multimedia Broadcasting over IEEE 802.11p-LTE-enabled VANET

  • Syfullah, Mohammad;Lim, Joanne Mun-Yee;Siaw, Fei Lu
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제13권3호
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    • pp.1213-1237
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    • 2019
  • Vehicular Ad-hoc Network (VANET) facilities envision future Intelligent Transporting Systems (ITSs) by providing inter-vehicle communication for metrics such as road surveillance, traffic information, and road condition. In recent years, vehicle manufacturers, researchers and academicians have devoted significant attention to vehicular communication technology because of its highly dynamic connectivity and self-organized, decentralized networking characteristics. However, due to VANET's high mobility, dynamic network topology and low communication coverage, dissemination of large data packets (e.g. multimedia content) is challenging. Clustering enhances network performance by maintaining communication link stability, sharing network resources and efficiently using bandwidth among nodes. This paper proposes a mobility-based, multi-hop clustering algorithm, (MBCA) for multimedia content broadcasting over an IEEE 802.11p-LTE-enabled hybrid VANET architecture. The OMNeT++ network simulator and a SUMO traffic generator are used to simulate a network scenario. The simulation results indicate that the proposed clustering algorithm over a hybrid VANET architecture improves the overall network stability and performance, resulting in an overall 20% increased cluster head duration, 20% increased cluster member duration, lower cluster overhead, 15% improved data packet delivery ratio and lower network delay from the referenced schemes [46], [47] and [50] during multimedia content dissemination over VANET.

Information and Communication Technologies for Smart Water Grid Applications

  • Ballhysa, Nobel;Choi, Gyewoon;Byeon, Seongjoon
    • International journal of advanced smart convergence
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    • 제8권2호
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    • pp.218-226
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    • 2019
  • The use of Information and Communication Technologies (ICT) is the key to operate a change from the traditional manual reading of water meters and sensors to an automated system where high frequency data is remotely collected and analyzed in real time, one of the main components of a Smart Water Grid. The recent boom of ICT offers a wide range of both wired and wireless technologies to achieve this objective. We review and present in this article the most widely recognized technologies and protocols along with their respective advantages, drawbacks and applicability range which can be Home Area Network (HAN), Building Area Network (BAN) or Local/Neighborhood Area Network (LAN/NAN). We also present our findings and we give recommendations on the application of ICT in Smart Water Grids and future work needed.

네트워크중심전(NCW)을 위한 UMPC 기반 데이터 링크 시스템 설계 및 구축 (The Design and Implementation of the Data Link System based on the Off-the-shelf Ultra Mobile Personal Computer for Network Centric Warfare(NCW))

  • 심동섭;김기형
    • 한국군사과학기술학회지
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    • 제12권2호
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    • pp.175-181
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    • 2009
  • All of the military aircrafts in Korea Air Force are administered and operated together in the same system regardless of whether they are equipped with the data communication capability or not. The absence of the data communication capability in some of the aircrafts might increase whole kill chain hour at the point of the Network Centric Warfare achievement. Network synergy effects cannot also be desired if the section which is not connected to the network influences to the whole tactical network. Equipping aircrafts with the data communication capability could be done by upgrading the aircrafts, but resulting in high costs and long updating time. This paper is a research about the design and implementation of the UMPC based Data Link System to aircrafts that do not have the data communication capability. The proposed system grafts the UHF-based wireless modem technology and the aircraft flight mission support software onto the off-the-shelf UMPC and GPS system. The employed UHF radio equipment allows communicating tactic data with another aircrafts on the air, the ground control point, and even the Tactical Air Control Party(TACP) control vehicle that achieve missions with aircrafts. It thereby increases such capabilities as navigation aid, situation awareness, quick target identification and attack. We also applied Closed Air Support(CAS) scenarios, which is very close to the real environment, to the experiments of the proposed system. The experimental results show that the proposed system could support the data communication capability effectively and the flight mission at low costs of money and time.

인공신경망기법을 이용한 중심차수벽형 석괴댐의 정부침하량 예측 (Prediction of Crest Settlement of Center Cored Rockfill Dam using an Artificial Neural Network Model)

  • 김용성;김범주;오상은
    • 한국농공학회논문집
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    • 제54권4호
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    • pp.73-81
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    • 2012
  • In this study, the settlement data of 32 center cored rockfill dams (total 39 monitored data) were collected and analyzed to develop the method to predict the crest settlement of a CCRD after impounding by using the internal settlement data occurred during construction. An artificial neural network (ANN) modeling was used in developing the method, which was considered to be a more reliable approach since in the ANN model dam height, core width, and core type were all considered as input variables in deriving the crest settlement, whereas in conventional methods, such as Clements's method, only dam height is used as a variable. The ANN analysis results showed a good agreement with the measured data, compared to those by the conventional methods using regression analysis. In addition, a simple procedure to use the ANN model for engineers in practice was provided by proposing the equations used for given input values.

New Security Layer for OverLay Networks

  • Imai, Hideki;Shin, Seong-Han;Kobara, Kazukuni
    • Journal of Communications and Networks
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    • 제11권3호
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    • pp.211-228
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    • 2009
  • After clarifying the underlying problems in a secure network storage, we introduce two important requirements, leakageresilience and availability in higher levels respectively, for data keys that are used to protect remotely-stored data. As a main contribution of this paper, we give a new security layer for overlay networks by proposing a leakage-resilient authentication and data management system. In this system, we specifically propose a single mode and a cluster mode where the latter provides a higher level of both leakage-resilience and availability for the data key.

대용량 VLBI 데이터 전송을 위한 초고속 네트워크 성능 모니터링 및 최적화 연구 (A Study on the Performance Monitoring and Optimization of a High Speed Network for the Transfer of Massive VLBI Data)

  • 송민규;강용우;김효령
    • 한국전자통신학회논문지
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    • 제14권6호
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    • pp.1097-1108
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    • 2019
  • VLBI에서 서로 멀리 떨어진 각 관측소에서 생성된 관측 데이터는 데이터 처리 및 분석을 위해 상관센터에 수집되어야 한다. 전통적으로 관측 데이터는 배나 비행기 등의 교통 수단을 통해 전달되었다. 하지만 IT 기술의 급격한 발전 속에 네트워크를 이용한 데이터 전송으로 빠르게 대체되고 있고 이를 통해 국제 공동 협업 연구가 더욱 활발해지고 있다. 이러한 기술 간 융합을 통한 연구 환경의 변화를 고려하여 2010년 9월 KVN 각 관측소와 상관센터를 초고속 네트워크로 연결하는 e-KVN이 구축되었고 두번의 업그레이드 과정을 통해 최대 100GbE에 달하는 인터페이스를 갖추게 되었다. 이후 KVN의 VLBI 관측 수행과 데이터 처리에 있어서 네트워크 활용 비중은 기하급수적으로 증가하고 있다. 본 논문에서는 KVN VLBI 시스템의 구성에 대해 살펴보고 세 관측소와 상관센터를 KREONET으로 연결하는 e-KVN의 성능 최적화 기법 및 개선된 모니터링 방안에 대해 기술하기로 한다. 나아가 광대역 관측 구현을 위한 e-KVN의 향후 계획에 대해 조망해보고자 한다.

Concept Drift Based on CNN Probability Vector in Data Stream Environment

  • Kim, Tae Yeun;Bae, Sang Hyun
    • 통합자연과학논문집
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    • 제13권4호
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    • pp.147-151
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    • 2020
  • In this paper, we propose a method to detect concept drift by applying Convolutional Neural Network (CNN) in a data stream environment. Since the conventional method compares only the final output value of the CNN and detects it as a concept drift if there is a difference, there is a problem in that the actual input value of the data stream reacts sensitively even if there is no significant difference and is incorrectly detected as a concept drift. Therefore, in this paper, in order to reduce such errors, not only the output value of CNN but also the probability vector are used. First, the data entered into the data stream is patterned to learn from the neural network model, and the difference between the output value and probability vector of the current data and the historical data of these learned neural network models is compared to detect the concept drift. The proposed method confirmed that only CNN output values could be used to reduce detection errors compared to how concept drift were detected.

A Systematic Treat Model for Software-Defined Networking

  • Zhang, Wenbin;Wu, Zehui;Wei, Qiang;Yuan, Huijie
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제15권2호
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    • pp.580-599
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    • 2021
  • Software-Defined Networking (SDN) has three key features: separation of control and forwarding, centralized control, and network programmability. While improving network management flexibility, SDN has many security issues. This paper systemizes the security threats of SDN using spoofing, tampering, repudiation, information disclosure, denial of service, and elevation of privilege (STRIDE) model to understand the current security status of SDN. First, we introduce the network architecture and data flow of SDN. Second, we analyze security threats of the six types given in the STRIDE model, aiming to reveal the vulnerability mechanisms and assess the attack surface. Then, we briefly describe the corresponding defense technologies. Finally, we summarize the work of this paper and discuss the trends of SDN security research.

SPAD과 CNN의 특성을 반영한 ToF 센서와 스테레오 카메라 융합 시스템 (Fusion System of Time-of-Flight Sensor and Stereo Cameras Considering Single Photon Avalanche Diode and Convolutional Neural Network)

  • 김동엽;이재민;전세웅
    • 로봇학회논문지
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    • 제13권4호
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    • pp.230-236
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    • 2018
  • 3D depth perception has played an important role in robotics, and many sensory methods have also proposed for it. As a photodetector for 3D sensing, single photon avalanche diode (SPAD) is suggested due to sensitivity and accuracy. We have researched for applying a SPAD chip in our fusion system of time-of-fight (ToF) sensor and stereo camera. Our goal is to upsample of SPAD resolution using RGB stereo camera. Currently, we have 64 x 32 resolution SPAD ToF Sensor, even though there are higher resolution depth sensors such as Kinect V2 and Cube-Eye. This may be a weak point of our system, however we exploit this gap using a transition of idea. A convolution neural network (CNN) is designed to upsample our low resolution depth map using the data of the higher resolution depth as label data. Then, the upsampled depth data using CNN and stereo camera depth data are fused using semi-global matching (SGM) algorithm. We proposed simplified fusion method created for the embedded system.