• 제목/요약/키워드: existing network

검색결과 5,650건 처리시간 0.035초

XML-Based Network Management for IP Networks

  • Choi, Mi-Jung;Hong, James W.;Ju, Hong-Taek
    • ETRI Journal
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    • 제25권6호
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    • pp.445-463
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    • 2003
  • XML-based network management, which applies XML technologies to network management, has been proposed as an alternative to existing network management. The use of XML in network management offers many advantages. However, most existing network devices are already embedded with simple network management protocol (SNMP) agents and managed by SNMP managers. For integrated network management, we present the architectures of an XML-based manager, an XML-based agent, and an XML/SNMP gateway for legacy SNMP agents. We describe our experience of developing an XML-based network management system (XNMS), XML-based agent, and an XML/SNMP gateway. We also verify the effectiveness of our XML-based agent and XML/SNMP gateway through performance tests. Our experience with developing XNMS and XML-based agents can be used as a guideline for development of XML-based management systems that fully take advantage of the strengths of XML technologies.

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Deep Learning based Loss Recovery Mechanism for Video Streaming over Mobile Information-Centric Network

  • Han, Longzhe;Maksymyuk, Taras;Bao, Xuecai;Zhao, Jia;Liu, Yan
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제13권9호
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    • pp.4572-4586
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    • 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.

촉감 기반 시스템을 위한 네트워크 적응형 전송 기법 (Network-Adaptive Transport techniques for Haptic-enhanced Techniques)

  • 이석희;김종원
    • 한국HCI학회:학술대회논문집
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    • 한국HCI학회 2008년도 학술대회 3부
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    • pp.12-18
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    • 2008
  • 본 논문은 촉감기반 네트워크 시스템을 위한 적용형 전송기법들에 대한 기존의 연구들을 소개한다. 우선 촉감기반 네트워크 시스템의 구조와 데이터 유행에 따라서 촉감기반 네트워크 시스템을 분류하고 촉감기반 시스템을 위한 네트워크 QoS 요구 조건에 관한 기존의 연구들을 정리한다. 촉감기반 시스템을 위한 기존의 네트워크 적응형 전송기법에 대해서 네트워크 지연 및 지터 보상 기법, 손실 제어, 그리고 전송률 제어 기법들로 나누어 소개한다. 촉감기반 네트워크 시스템을 위한 기존의 연구들을 정리하므로써 더 효율적인 네트워크 적응형 전송 기법들의 개발을 위한 기반을 마련하고자 한다.

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가상화된 WLAN 환경에서 트래픽 변화를 고려한 SDN 기반 대역폭 제어 기법 (An SDN-based Bandwidth Control Scheme considering Traffic Variation in the Virtualized WLAN Environment)

  • 문재원;정상화
    • 정보과학회 논문지
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    • 제43권11호
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    • pp.1223-1232
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    • 2016
  • 가상 네트워크 기술은 다양한 서비스의 요구조건을 반영한 네트워크를 제공할 수 있다. 다양한 서비스의 요구조건을 반영하기 위해 효율적인 리소스 분배 기술이 필요하다. 기존의 트래픽 대역폭 분배 기법들은 다운링크 트래픽만 제어하거나 네트워크의 트래픽 상황을 고려하지 않는다. 무선 네트워크에서 다운링크와 업링크는 같은 자원을 공유한다. 또한, 기존의 트래픽 대역폭 분배 기법들은 모든 스테이션이 포화된 트래픽을 발생시킨다고 가정한다. 그래서 기존의 트래픽 대역폭 분배 기법들은 가상 무선 네트워크에서 트래픽 제어를 할 수 없다. 본 논문에서는 이러한 문제들을 해결하기 위해 트래픽 기반 대역폭 제어 기법을 제안한다. 가상 네트워크에 SDN을 적용하고 각 스테이션의 트래픽을 모니터링하고 비포화 트래픽을 발생시키는 스테이션을 탐색한다. 또한, 모니터링 정보를 기반으로 업링크와 다운링크 트래픽을 동적으로 제어한다. 실제 테스트베드 구성 후, 기존의 기법과 비교 결과, 트래픽 대역폭 분배 성능이 최대 14% 개선되었다.

Dynamic Configuration and Operation of District Metered Areas in Water Distribution Networks

  • Bui, Xuan-Khoa;Kang, Doosun
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2021년도 학술발표회
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    • pp.147-147
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    • 2021
  • A partition of water distribution network (WDN) into district metered areas (DMAs) brings the efficiency and efficacy for water network operation and management (O&M), especially in monitoring pressure and leakage. Traditionally, the DMA configurations (i.e., number, shape, and size of DMAs) are permanent and cannot be changed occasionally. This leads to changes in water quality and reduced network redundancy lowering network resilience against abnormal conditions such as water demand variability and mechanical failures. This study proposes a framework to automatically divide a WDN into dynamic DMA configurations, in which the DMA layouts can self-adapt in response to abnormal scenarios. To that aim, a complex graph theory is adopted to sectorize a WDN into multiscale DMA layouts. Then, different failure-based scenarios are investigated on the existing DMA layouts. Here, an optimization-based model is proposed to convert existing DMA layouts into dynamic layouts by considering existing valves and possibly placing new valves. The objective is to minimize the alteration of flow paths (i.e., flow direction and velocity in the pipes) while preserving the hydraulic performance of the network. The proposed method is tested on a real complex WDN for demonstration and validation of the approach.

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범용 신경망 연산기(ERNIE)를 위한 학습 모듈 설계 (Design of Learning Module for ERNIE(ERNIE : Expansible & Reconfigurable Neuro Informatics Engine))

  • 정제교;위재우;동성수;이종호
    • 대한전기학회논문지:시스템및제어부문D
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    • 제53권12호
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    • pp.804-810
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    • 2004
  • There are two important things for the general purpose neural network processor. The first is a capability to build various structures of neural network, and the second is to be able to support suitable learning method for that neural network. Some way to process various learning algorithms is required for on-chip learning, because the more neural network types are to be handled, the more learning methods need to be built into. In this paper, an improved hardware structure is proposed to compute various kinds of learning algorithms flexibly. The hardware structure is based on the existing modular neural network structure. It doesn't need to add a new circuit or a new program for the learning process. It is shown that rearrangements of the existing processing elements can produce several neural network learning modules. The performance and utilization of this module are analyzed by comparing with other neural network chips.

ATM 통신망의 성능관리를 위한 시스템구조 (System Architecture for Performance Management in ATM Network)

  • Hyeog In Kwon
    • 한국전자거래학회지
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    • 제6권2호
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    • pp.25-38
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    • 2001
  • ATM is the transport method for the broadband integrated services digital networks(B-ISDN). It may replace existing LAN, MAN and WAN technologies such as CSMA/CD, FDDI, Frame relay, X.25, etc. But it is more complicate than existing network technologies. One of the main difficulties in ATM network is performance management. Specifically, the problems are evaluating the performance and tuning the values of the performance parameters, The goal of this paper is to introduce a system architecture designed for ATM network performance management, The major ingredients of the system are generic performance parameters In be measured from ATM network, performance evaluation models and decision criteria concerning the network performance. In this paper, general requirements for performance management application in ATM network are discussed.

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무선 센서 네트워크의 다종 센서에 대한 에너지 효율적인 클러스터링 기법 (Energy Efficient Clustering Scheme for Multi-sensor on Wireless Sensor Networks)

  • 최동민;정일용
    • 한국멀티미디어학회논문지
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    • 제19권3호
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    • pp.573-584
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    • 2016
  • Recent application range of sensor networks is becoming diverse. It means collected sensor data types are becoming diverse too. These sensor data have their own characteristics. Thus achieving energy efficiency, existing sensor network management policy consider their own characteristics. However, it is inefficient to apply the existing network management schemes for controlling such kind of data at the same time. Because, existing network management schemes considered one type of data only. Therefore, we propose a novel routing scheme that is able to efficient energy conservation through effective data controlling on multi-sensor application environment.

궤도회로에서의 공동접지와 단독접지 인터페이스 (Interface between Common earth and Individual earth on the Track circuit)

  • 이길노;김용규;김종기;김학련
    • 한국철도학회:학술대회논문집
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    • 한국철도학회 2005년도 추계학술대회 논문집
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    • pp.269-274
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    • 2005
  • This paper is studied on earth network configuration when common earth is applied to electrified railway system. And the permitted capacity of buried earth cable used for configuring common earth network and application plan of existing individual earth system when common em1:h network is applied to existing electrification line improvement are studied. For this, the configuration of common earth network is examined according to the SNCF regulation, and the interface between common earth and individual earth is analysed on the basis of the existing track circuit used in electrified line.

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관로가 있는 생존가능망 설계에 관한 효율적인 알고리즘 연구 (A Study of Efficient Algorithm for Survivable Network Design with Conduit)

  • 강효관;한치근
    • 정보처리학회논문지C
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    • 제8C권5호
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    • pp.629-636
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    • 2001
  • 최근 각종 멀티미디어 서비스의 제공은 전송데이터의 급격한 증가를 가져왔으며, 이러한 서비스의 원활한 제공을 위해서는 초고속 통신망의 구축이 불가피하게 되었다. 초고속 통신망의 구축은 막대한 비용을 요구하기 때문에 망 구축비용의 감소를 위해서는 기존에 설치된 관로를 고려해야한다. 또한 초고속 통신망은 하나의 선로에 많은 양의 데이터가 전송되므로 한 선로에 문제가 있는 경우 막대한 손실이 발생하는 특징을 지닌다. 이 때문에 전체 네트워크를 일정수준이상의 생존도를 가질 수 있게 설계하여야한다. 이러한 문제의 해결을 위해서 기존의 논문에서는 비용을 줄이기 위해 고려된 기존 관로를 다음 단계에서 배제하여 한 관로를 여러 경로에서 사용함으로써 얻을 수 있는 비용 절감효과를 상실하였다. 그러나 본 논문에서는 생존도를 유지하는 범위 내에서 기존에 설치된 관로를 최대한 고려하여 비용 절감을 극대화한 네트워크를 효과적으로 설계하는 방법을 제안한다. 제안한 방법을 사용하여 실험한 결과에 따르면 기존의 방법에 비해 약 7%의 비용절감 효과를 얻을수 있었다.

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