• 제목/요약/키워드: Distributed Communication Model

검색결과 437건 처리시간 0.025초

분할 가능한 분산환경에서 견고한 자바 객체 그름을 지원하는 그룹통신 모델의 설계 (Design of a Group Communication Model Supporting Robust Java Object Groups in Partitionable Distributed Environments)

  • 문남두;이근웅;구형서;박양수;이명준
    • 한국정보과학회:학술대회논문집
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    • 한국정보과학회 2001년도 가을 학술발표논문집 Vol.28 No.2 (3)
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    • pp.649-651
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    • 2001
  • 지난 수년간 인터넷의 대중화와 급속한 성장으로 분산 애플리케이션에 대한 관심이 증대되었다. 오늘날 분산 애플리케이션을 보다 쉽게 개발하기 위한 미들웨어로 CORBA와 Java RMI가 널리 사용되고 있다. 기존의 이러한 객체지향 미들웨어 정은 분산 환경은 분산 소프트웨어 컴포넌트와 분산 애플리케이션의 향상된 이식성, 상호운용성 그리고 재사용성 등을 제공하지만, 신뢰성과 고가용성의 지원은 이루어지고 있지 않다. 본 논문에서는 견고한 자바 서버 객체 그름을 지원하는 그룹통신 모델을 설계하여 분할 가능한 분산환경에서 신뢰성자 고가용성이 요구되는 분산 애플리케이션의 개발을 지원하고자 한다. 제안된 시스템은 중복된 서버 객체로 구성된 그름을 다루는 분할가능 그룹통신 서비스와 서버 객체 그름을 단일 서버 객체처럼 그룹의 메소드를 호출하는 투명한 클라이언트 호출 기법으로 구성된다.

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Analysis of Transient Overvoltages within a 345kV Korean Thermal Plant

  • Yeo, Sang-Min;Kim, Chul-Hwan
    • Journal of Electrical Engineering and Technology
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    • 제7권3호
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    • pp.297-303
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    • 2012
  • This paper presents the simulation results for the analysis of a lightning surge, switching transients and very fast transients within a thermal plant. The modeling of gas insulated substations (GIS) makes use of electrical equivalent circuits that are composed of lumped elements and distributed parameter lines. The system model also includes some generators, transformers, and low voltage circuits such as 24V DC rectifiers and control circuits. This paper shows the simulation results, via EMTP (Electro-Magnetic Transients Program), for three overvoltage types, such as transient overvoltages, switching transients, very fast transients and a lightning surge.

PDM기반 조립체 DMU를 위한 웹뷰어 형상커널의 설계 (Geometric Kernel Design of the Web-Viewer for the PDM Based Assembly DMU)

  • 송인호;정성종
    • 대한기계학회논문집A
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    • 제31권2호
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    • pp.260-268
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    • 2007
  • Demand for the use of 3D CAD DMU systems over the Internet environment has been increased. However, transmission of commercial 3D kernels has delayed the communication effectiveness due to the kernel size. Light weight CAD geometric kernel design methodology is required for rapid transmission in the distributed environment. In this paper, an assembly data structure suitable for the top-down and bottom-up assembly models has been constructed. Part features are stored without a hierarchy so that they are created and saved in no particular order. In particular, this paper proposes a new assembly representation model, called multi-level assembly representation (MAR), for the PDM based assembly DMU system. Since the geometric kernel retains assembly hierarchy and topological information, it is applied to the web-viewer for the PDM based DMU system. Effectiveness of the proposed geometric kernel is confirmed through various case studies.

확률적 전투모형과 분산 네트워크 적용 (Development of Distributed Interactive Stochastic Combat Simulation (DISCSIM) Model)

  • Hong, Yoon-Gee;Kwon, Soon-Jong
    • 한국시뮬레이션학회:학술대회논문집
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    • 한국시뮬레이션학회 1999년도 추계학술대회 논문집
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    • pp.210-216
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    • 1999
  • Todays computer communication technology let people to do many unrealistic things possible and the use of those technologies is becoming increasingly prevalent throughout the military operation. Both DIS and ADS are welled defined computer aided military simulations. This study discusses a simulation of stochastic combat network modeling through Internet. We have developed two separate simulation models, one for clients and another for server, and validated for conducting studies with these two models. The object-oriented design was necessary to define the system entities and their relationship, to partition functionality into system entities, and to transform functional metrics into realizations derived from system component behaviors. Heterogeneous forces for each side are assumed at any battle node. The time trajectories for mean number of survivors at each node, some important combat measures, and relative difference computations between models were made. We observe and may conclude that the differences exist and some fo these are significant based on a limited number of experiments.

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An Analysis of Effective Factors in Public Awareness Campaigns through Facebook: Focus on Fine Dust Issues

  • Nguyen, Thanh-Mai;Jo, Sam-sup
    • International Journal of Contents
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    • 제17권4호
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    • pp.35-45
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    • 2021
  • In this study, we analyzed the factors that affect public awareness campaigns on social media platforms and developed an integrated model for measuring the persuasiveness of environmental social media campaigns. A survey questionnaire was created and distributed on Facebook with the goal of reaching individuals in their 20s and 40s in Vietnam, and 395 valid replies were gathered. The findings showed that the STOPS was reconfirmed as a suitable theoretical framework for analyzing the public's behaviour intention to conduct information related to the issue of fine dust, especially on social media. Furthermore, it also showed that social media efficacy has a moderating effect on the relationship between public's situational recognition and informational behaviour intention. This suggested that through social media platforms, personal characteristics play a vital part in developing effective environmental campaigns. Implications for both theory and practice were discussed.

A DDoS attack Mitigation in IoT Communications Using Machine Learning

  • Hailye Tekleselase
    • International Journal of Computer Science & Network Security
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    • 제24권4호
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    • pp.170-178
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    • 2024
  • Through the growth of the fifth-generation networks and artificial intelligence technologies, new threats and challenges have appeared to wireless communication system, especially in cybersecurity. And IoT networks are gradually attractive stages for introduction of DDoS attacks due to integral frailer security and resource-constrained nature of IoT devices. This paper emphases on detecting DDoS attack in wireless networks by categorizing inward network packets on the transport layer as either "abnormal" or "normal" using the integration of machine learning algorithms knowledge-based system. In this paper, deep learning algorithms and CNN were autonomously trained for mitigating DDoS attacks. This paper lays importance on misuse based DDOS attacks which comprise TCP SYN-Flood and ICMP flood. The researcher uses CICIDS2017 and NSL-KDD dataset in training and testing the algorithms (model) while the experimentation phase. accuracy score is used to measure the classification performance of the four algorithms. the results display that the 99.93 performance is recorded.

On Cyclic Delay Diversity with Single Carrier OFDM Based Communication Network

  • A. Sathi Babu;M. Muni Chandrika;P. Sravani;M. Sindhu sowjanyarani;M. Dimpu Krishna
    • International Journal of Computer Science & Network Security
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    • 제24권2호
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    • pp.95-100
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    • 2024
  • Cyclic Delay Diversity (CDD) is a diversity scheme used in OFDM-based telecommunication systems, transforming spatial diversity into frequency diversity and thus avoiding intersymbol interference without entailing the receiver to be aware of the transmission strategy making the signal more reliable achieving full diversity gain in cooperative systems. Here the analyzation of the influence of CDD-SC scheme in Cognitive Radio Network (CRN) is done with the challenge of overcoming the complication called channel estimation along with overhead in CNR. More specifically, the closed-form expressions for outage probability and symbol error rate are divided under different frequencies among independent and identically distributed (i.i.d.) frequency selective fading channel model i.e., the signal is divided into different frequencies and transmitted among several narrow band channels of different characteristics. It is useful in the reduction of interference and crosstalk. The results reveal the diversity order of the proposed system to be mainly affected by the number of multipath components that are available in the CNR.

동적 AOI를 위한 P2P 기반 관리기법 (A P2P-based Management Method for Dynamic AOI)

  • 임채균;노경택
    • 한국인터넷방송통신학회논문지
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    • 제11권5호
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    • pp.211-216
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    • 2011
  • 네트워크 가상 환경 (NVEs : Networked Virtual Environments)은 지리적으로 분산된 사용자들이 가상 세계에서 네트워크 메시지 교환을 통하여 서로 상호작용이 가능한 분산 시스템이다. 대규모 다중 접속 온라인 게임 (MMOGs : Massively Multiplayer Online Game)은 수백명 이상의 사용자들이 가상 세상을 경험할 수 있는 다양한 응용 중의 하나이다. MMOG에서 관심영역 (AOI : Area Of Interest)이라는 제한된 영역은 사용자 간의 메시지 교환이 유발하는 부하를 감소시킨다. VON (Voronoi-based Overlay Network) 기법은 P2P 환경에서 대역폭 소모량을 감소시키기 위해 제안되었으며, Vorocast 기법도 역시 VON 상에서 메시지 전달을 이용하는 기법이었다. 우리는 포워딩 기법으로 메시지 발생자로부터 인접 노드들에게 보내지는 위치 갱신을 넘겨줌으로써 일관성과 지연성과 같은 문제들을 해결할 수 있는 동적 AOI 관리기법을 제안한다. 제안 기법은 직접 연결 기법과 Vorocast를 결합함으로써 기존 기법들에 비하여 더 나은 일관성과 낮은 지연성을 제공한다. 하나의 사용자와 AOI 내부에 포함된 다른 사용자들 사이에는 직접적으로 연결하여 통신하고, AOI의 외부에 존재하는 사용자들과는 Vorocast 기법을 이용하여 통신한다. 또한 시뮬레이션을 통하여 제안 기법의 성능을 평가하였다.

Energy-Aware Traffic Engineering in Hybrid SDN/IP Backbone Networks

  • Wei, Yunkai;Zhang, Xiaoning;Xie, Lei;Leng, Supeng
    • Journal of Communications and Networks
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    • 제18권4호
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    • pp.559-566
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    • 2016
  • Software defined network (SDN) can effectively improve the performance of traffic engineering and will be widely used in backbone networks. Therefore, new energy-saving schemes must take SDN into consideration; this action is extremely important owing to the rapidly increasing energy consumption in telecom and Internet service provider (ISP) networks. Meanwhile, the introduction of SDN in current networks must be incremental in most cases, for technical and economic reasons. During this period, operators must manage hybrid networks in which SDN and traditional protocols coexist. In this study, we investigate the energy-efficient traffic engineering problem in hybrid SDN/Internet protocol (IP) networks. First, we formulate the mathematical optimization model considering the SDN/IP hybrid routing mode. The problem is NP-hard; therefore, we propose a fast heuristic algorithm named hybrid energy-aware traffic engineering (HEATE) as a solution. In our proposed HEATE algorithm, the IP routers perform shortest-path routing by using distributed open shortest path first (OSPF) link weight optimization. The SDNs perform multipath routing with traffic-flow splitting managed by the global SDN controller. The HEATE algorithm determines the optimal setting for the OSPF link weight and the splitting ratio of SDNs. Thus, the traffic flow is aggregated onto partial links, and the underutilized links can be turned off to save energy. Based on computer simulation results, we demonstrate that our algorithm achieves a significant improvement in energy efficiency in hybrid SDN/IP networks.

블록체인 네트워크의 지속 가능성을 위한 확장성 기반 에너지 모델 (A Scalability based Energy Model for Sustainability of Blockchain Networks)

  • 전승현;정복래
    • 산업융합연구
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    • 제21권8호
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    • pp.51-58
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    • 2023
  • 최근 블록체인은 트릴레마를 해결하기 위해 이상적인 분산 신뢰 네트워크를 설계하려고 노력했다. 그러나 일부 국가간 분쟁으로 에너지 분배의 불균형이 발생했고, 현재 비트코인과 같은 블록체인 네트워크가 거래와 채굴을 위해 엄청난 에너지를 소비하고 있다. 기존 연구인 데이터 볼륨 기반 신뢰 모델은 루빈 방식의 신뢰 모델보다 증가하는 블록체인 크기를 더 잘 평가했다. 본 논문에서는 성장하는 블록체인 네트워크의 존속시간, 블록체인 크기 및 거래를 위해 소모된 에너지를 고려하여 블록체인 네트워크의 지속 가능성을 평가하는 확장성 기반 에너지 모델을 제안한다. 또한 수학적 분석을 통해 제안 모델과 기존 모델에 대한 만족도와 최적의 블록체인 크기를 비교한다. 그러므로 제안된 확장성 기반 에너지 모델은 트릴레마를 해결하고 지속 가능성을 검증하는 적절한 블록체인 네트워크를 선택할 수 있는 평가 툴을 제공할 것이다.