Domestic R&D network [KREONET]

Slides:



Advertisements
Similar presentations
2016 년도 1 학기 정보보호관리체계 (ISMS) 인증 이 강 신
Advertisements

“ PPT WORLD PowerPoint template, you can become an expert. Your wishes for the successful presentation. Our company wishes to own a successful presentation.
멀티미디어 서비스를 위한 IP 네트워크 순천향대학교 정보기술공학부 이 상 정
제 09 장 인터넷과 월드와이드웹 한국대학교 홍길동 교수.
CS710 컴퓨터구조 특강 - 차세대 무선네트워크 및 보안 -
IT집중교육1 (Mobile Multimedia Service & System Design)
Chapter 8 Authorization
Chapter 3 데이터와 신호 (Data and Signals).
암호화 기술(SSL, IPSec) 손재성 권기읍 안복선 최준혁
Battery-Dynamics Driven TDMA MAC Protocols for Wireless Body-Area Monitoring Networks in Healthcare Applications Hang Su, Student Member, IEEE, and Xi.
전자정부 서비스 운영을 위한 SLA 적용 방안 남기찬 교수 서강대학교 아웃소싱연구센터 (
IPsec 석진선.
Operating Systems Overview
Dept. of Computer Engineering, Hannam Univ. Won Goo Lee
Introduction to Web Service Computing
Internet Control Message Protocol (ICMP)
PART 01 개념 컴퓨터 네트워크 Chapter 3 OSI 참조모델과 인터넷 임효택.
PART 1 개념 컴퓨터 네트워크 Chapter 01 서론 임효택.
지식저장 및 활용사례 삼성SDS 아리샘 KMS 오승연 책임
Domain Name System (DNS)
Chapter 02 네트워크에 대한 이해.
Chapter 2 OSI 모델과 TCP/IP 프로토콜.
연구소의 R&D 관리 - 과제 선정/개발/상품화 -
General VoIP 발표자: 황인욱.
BPMS의 이해 (Business Process Management System)
SK Telecom Platform연구원
BSC 기법에 의한 성과지표설정방법 강사 : 오영환(달란트HR컨설팅 대표/경영학박사)
Chapter 8 교환 (Switching).
Chapter 8 교환 (Switching).
ISO 9001:2000 프로세스 접근방법의 이해와 적용 베스트경영컨설팅(BMC).
PPP (Point-to-Point Protocol)
(Network Transaction Application Server)
Web상에서의 Network Management
양견모 The 4th International Conference on Mobile Services, Resources, and Users: Mobility 2014 양견모
김 형 진 전북대학교 IT응용시스템공학과 인터넷의 활용 Chapter 김 형 진 전북대학교 IT응용시스템공학과.
Network Management 김대환 김태훈 김숙흔 이근민.
PART 01 개념 컴퓨터 네트워크 Chapter 3 OSI 참조모델과 인터넷 임효택.
숭실대학교 마이닝연구실 김완섭 2009년 2월 8일 아이디어  - 상관분석에 대한 연구
TCP/IP 통신망 특론 2장 Link Layer 컴퓨터 네트워크 실험실 이희규.
Internet QoS Technique
Cognitive radio Either a network or a wireless node changes its transmission or reception parameters to communicate efficiently avoiding interference with.
KMS 구현 및 활용사례 경쟁력 강화를 위한 2002년 5월 28일(화) 김 연 홍 상무 / 기술사
ISO SR 국제표준 어떤 것인가? (동향과 기업의 대응) 유한킴벌리 김종열.
김 형 진 전북대학교 IT응용시스템공학과 인터넷의 활용 Chapter 김 형 진 전북대학교 IT응용시스템공학과.
4-1 Gaussian Distribution
Congestion Control for Vehicular Safety:
박 태하 ㈜ 아이네트 인터넷 망관리를 위한 도구 박 태하 ㈜ 아이네트.
인터넷주소의 한글화와 Name Lookup Service
NTAS 소개 (Network Transaction Application Server)
McGraw-Hill Technology Education
Chapter 4 네트워크 계층 소개.
myfood.com 상명대 맛집 홈페이지 구축 제안서
Advances in Optical Technology & FI
Hijacking Bitcoin : Routing Attacks on Cryptocurrencies Maria Apostolaki Aviv Zohar Laurent Vanbever Presentor Geun Woo Lim Many parts of.
CEO가 가져야 할 품질 혁신 마인드.
Internet & WWW Protocols
국가과학기술연구망(KREONET) 현황 HEP 지원
10장 OSI 7 Layer 강원도립대학교 정보통신개론.
핵·입자물리연구회 조기현.
Chapter 27 Mobile IP.
기술혁신 세미나 Technology integration: Managing technological evolution in a complex environment Marco Iansiti Research Policy 24 (1995) 기술경영학 협동과정 박사2학기.
제16대 총장 취 임 사 신 성 철 총장 Inaugural Address of the 16th President
제 9 장 ICMP 9.1 메시지 유형 9.2 메시지 형식 9.3 오류 보고 9.4 질의 9.5 검사합 9.6 ICMP 설계
Internet 인공지능연구실
Course Overview Information Literacy.
The 3rd International HEP DataGrid Workshop KOREN E2E Performance:
7/25/2019 경계선 방어 기술 공급원 May
Dynamic Graph Query Primitives for SDN-based Cloud Network Management Ramya Raghavendra, Jorge Lobo, Kang-Won Lee 2012 HotSDN 정보통신공학과.
Peer-to-Peer SIP Network Using Distributed Hash Table
경사 식각을 이용한 폴리머 광 스위치 2층 배선 기술
Presentation transcript:

Domestic R&D network [KREONET]

Domestic R&D network [KOREN]

Domestic R&D network [APII-Testbed&TEIN]]

Grid NOC Grid Network Operations Center Coordinate global services and centralized monitoring, management, and technical support to Grid Network Allocation of network resources as well as construction and management of Policy server Allocation of resources such as CPU and DB Collaborative work with international Grid Network Research of information resources as well as a provision education and seminar

Particle accelerators GNOC-kr Connection to overseas GRID networks with international cooperation High-Tech S&T devices (Supercomputers, CAVE,DB Servers…) GNOC-kr GNOC/KISTI High-Tech S&T applications based KREONET/KREONet2/HPCNet Electron microscope at Osaka Univ. Particle accelerators at CERN Supercomputer CAVE

GNOC를 위한 네트워크 관리 시스템 구조 전체 시스템 구성 GNOC NOC3 NOC1 NOC2 Directory 소비자2 Directory service 토폴로지생산자 네크워크모니터링생산자1 네크워크모니터링생산자2 저장소 NOC1 NOC2 네크워크모니터링생산자3 GNOC NOC3 소비자1 전체 시스템 구성

전체 시스템 구성 구성요소 항목 생산자 소비자 디렉토리 서비스 역활 모니터링 정보의 수집과 분석 네트워크 도메인의 관리 정보 제공자 모니터링 정보의 수집과 분석 소비자로 부터 요청을 수신, 정보 전송 디렉토리 서비스에 자신의 존재를 발행 모니터링 정보를 요청하고 수신 디렉토리 서비스를 통해 관심있는 정보를 제공하는 생산자를 검색 모니터링 정보의 위치, 네이밍 등의 정보 발행 정보와 관련된 생산자(소비자)의 정보 유지 가능한 유형 네트워크 모니터링 생산자 토폴로지 생산자 시스템 모니터링 생산자 실시간 모니터 토폴로지 툴 LDAP 서버 Globus RDBMS

NOC 관리 기능 생성된 토폴로지 기반 실시간 정보 제공 기능 실시간 성능 및 장애 정보 제공

GGF(Global Grid Forum) GGF is community-initiated forum for distributed computing and grid technologies GGF is the result of a merger of the Grid Forum, the eGrid European Grid Forum, and the Grid community in Asia-Pacific GGF focuses The promotion and development of Grid technologies and applications

GGF(Global Grid Forum) The work of GGF is performed within its various working groups and research groups A working group is generally focused on a very specific technology or issue Network Measurement Working Group Identifies and characterizes metrics useful to grid application and middleware, and develops standards to ensure the compatibility of metrics across measurement systems and applications A research group is often longer-term focused Grid High-Performance Networking Research Group Provides a leadership forum for all aspects of scalable and secure high-performance networking technologies to support grid environments

Grid Network WG in GGF2 GRID General Network WG(GGNWG) GHPN(Grid High-Performance Networking) End-to-end network performance measurement, analysis and prediction Grid Cybersecurity Grid Network Traffic Engineering Grid Optical Networking High-Performance Transport protocols(TCP++) Network toolkit for network-aware application Development

Grid Network WG in GGF3 GRID General Network Working Group Lambda Network proposed : Amsterdam Univ. Testbed of GRID Project in USA : Michigan Univ. GRID Network Measurement WG(New Group) 1st BOF Meeting Network Measurement Working Group(NMWG) Measurement system Grid application performance Decision or Comparison of current network metric Encouragement metrics for Grid application

Network Measurement Identifies and characterizes metrics useful to grid applications and develops standards to ensure the compatibility of metrics across measurement systems and applications Goals Describe the metrics of interest to grid application Define mappings between available tools and measurement Discuss issues in measuring each metric Works in collaboration with other standards groups such as the IETF IPPM WG and the Internet2 End-to-end initiative IPPM’s focus is on defining best-practices metrics of use of network engineers, whereas the NMWG focus in cataloging measurement methodologies as mush as metric

Measurement Examples(Foreign) RTT measurement http://watt.nlanr.net/active

Measurement Examples(Foreign) Link utilization measurement http://www.jp.apan.net

Measurement Examples(Domestic) Traffic measurement http://www.kreonet.re.kr 'Daily' graph (5 Minute Average) Partnership with EU, KR, JP, AU and later others World’s first true “Global Grid” and access to Petabytes of data 'Weekly' graph (30 Minute Average)

Measurement Examples(Domestic) Pings measurement (Initiated by noc.kr.apan.net) http://noc.koren21.net

GGF vs IETF IPPM IETF IPPM Group has defined a number of these metrics Framework for IP Performance Metrics(RFC 2330) IPPM Metrics for measuring Connectivity(RFC 2678) A One-way Delay Metric for IPPM(RFC 2679) A One-way Packet Loss Metric for IPPM(RFC 2680) A Round-trip Delay Metric for IPPM(RFC 2681) Instantaneous Packet Delay Variation Metric for IPPM(Internet-Draft) NMWG will be to decide how these metrics are useful in a Grid environment

Characteristics Overview Network Characteristics Loss One-way Round-trip Delay Bandwidth Capacity Availability Utilization Achievable Jitter

Bandwidth Capacity Utilization Available Achievable Theoretical maximum link-layer throughput available on a link or path when there is no competing traffic Utilization Aggregate capacity being consumed on a link or path Amount of data passing through the link or path over a particular time interval Available Maximum amount of data per time unit that a link or path can provide, given the current utilization Most interesting, and hardest to measure Achievable Maximum amount of data per time unit that a link or path Limit the bandwidth delivered to the applications

Delay One-way Delay Roundtrip Delay Jitter Use timestamp of IP packet Assume the clocks at both ends are closely synchronized Roundtrip Delay Roundtrip delays are easier to measure than one-way delays Roundtrip delays are measured directly Jitter Frequently a separate metric(IPPM) Variance in many characteristics interesting We regard as a statistical property of delay

Loss One-way loss Roundtrip loss Depends on the parameters source and destination (define the network path) protocol (TCP, UDP, ICMP) protocol parameter (port numbers, window sizes) Roundtrip loss Not receive a reply for a packet

Measurement Methodology SNMP Line capacity : ifMtu Line utilization : ifInOctets, ifOutOctets, LineSpeed Line packet loss : ifOutDiscards, ifOutErrors Line error : ifInErrors Ping Round-trip Delay(RTT), Round-trip loss(no response)

Measurement Methodology 관리시스템 에이전트1 에이전트2 Web browser 그리드 네트워크 A에서 B로의 이용가능한 대역폭은? A B 3. 패킷 생성 / 전송 4. 패킷 캡처 / 분석 에이전트3 C 2. B로의 Available bandwidth 요청 5. A에서 B로의 대역폭 응답 1. 정보 요청 6. 정보 응답 에이전트4 D Agent For Bandwidth measurement

GHPN Research Group GHPN being a Research Group means Indefinite Lifespan GHPN is supposed to be a long term approach Recommendation documents are not in the scope of the group, but GHPN intends to produce Informational Experimental Community practice documents Might propose the creation of focused working groups QoS Resource Management ….

GHPN Research Group Two specific goals of the GHPNRG are identifying Grid application requirements and implementation that are not supported or understood by the networking community Advanced networking features that are not being utilized by grid applications

Summary Efficiently using to grid network with limited network resource Guarantee end-to-end high performance network Network measurements use to variety methodology