Downloaded 93 times
![ONOS SDN Controller
소스코드 분석 및 SDN 응용개발
Mobile Convergence Lab, Computer Engineering,
Kyung Hee University
Sangyun Han
Email : sangyun0628@khu.ac.kr
SDN/NFV 이론, 실습, 최신동향
[ONOS 다중 인스턴스 설치 및 테스트]](https://image.slidesharecdn.com/3-160523115712/85/ONOS-multiple-instance-setting-Distributed-SDN-Controller-1-320.jpg)
![tree.py code
import sys
from mininet.net import Mininet
from mininet.topo import Topo
from mininet.log import setLogLevel
from mininet.cli import CLI
from mininet.topolib import TreeTopo
from mininet.node import RemoteController, OVSKernelSwitch
myTree = TreeTopo(depth=3,fanout=4)
def run( controllers ):
net = Mininet( topo=myTree, controller=None, autoSetMacs=True )
ctrl_count = 0
for controllerIP in controllers:
net.addController( 'c%d' % ctrl_count, RemoteController, ip=controllerIP )
ctrl_count += 1
net.start()
CLI( net )
net.topo()
if __name__ == '__main__':
setLogLevel( 'info' )
if len(sys.argv ) > 1:
controllers = sys.argv[ 1: ]
else:
print 'Usage: sudo python tree.py '
exit(1)
run(controllers)
Mobile Convergence Laboratory 30
for copy & paste](https://image.slidesharecdn.com/3-160523115712/85/ONOS-multiple-instance-setting-Distributed-SDN-Controller-30-320.jpg)
Uploaded bysangyun han
ONOS - multiple instance setting(Distributed SDN Controller)
ONOS - Distributed SDN Controller multiple instance configuration and setting Mininet test
More Related Content
Similar to ONOS - multiple instance setting(Distributed SDN Controller)
![[SoftCon]SDN/IoT 그리고 Testbed](https://cdn.slidesharecdn.com/ss_thumbnails/softcon-151119130927-lva1-app6892-thumbnail.jpg?width=640&height=640&fit=bounds)
ONOS - multiple instance setting(Distributed SDN Controller)
- 1. ONOS SDN Controller 소스코드분석 및 SDN 응용개발 Mobile Convergence Lab, Computer Engineering, Kyung Hee University Sangyun Han Email : sangyun0628@khu.ac.kr SDN/NFV 이론, 실습, 최신동향 [ONOS 다중 인스턴스 설치 및 테스트]
- 2. Structure of Machines •다중 인스턴스 설치 시, 사용할 머신들의 구조 Mobile Convergence Laboratory 2 Internet Physical machine Virtual machine Virtual machine Virtual machine Instance 1 Instance 2 Instance 3 Eth0 Eth1 Eth0 Eth1 Eth0 Eth1 Host-Only Network
- 3. Structure of Machines •다중 인스턴스 설치 시, 사용할 머신들의 구조 Mobile Convergence Laboratory 3 Internet Physical machine Virtual machine Virtual machine Virtual machine Instance 1 Instance 2 Instance 3 Eth0 Eth1 Eth0 Eth1 Eth0 Eth1 Host-Only Network 현재 설치 중인 인스턴스 Instance Duplication
- 4. Configure 1. Change linuxuser authority 2. Install openssh-server Mobile Convergence Laboratory 4
- 5. Configuration • 다중 노드설치 시, • 유저명 sdn에 비밀번호 없도록 권한 추가(SSH 접속 시) • /etc/sudoers 파일 수정 • sdn ALL=(ALL) NOPASSWD:ALL • SSH 설치 • $ sudo apt-get install openssh-server Mobile Convergence Laboratory 5
- 6.
- 7. ONOS - Installmulti instance 1. Getting ONOS 2. Installing ONOS 3. Start ONOS Mobile Convergence Laboratory 7 https://wiki.onosproject.org/display/ONOS/Installing+and+Running+ONOS
- 8. ONOS Multiple Instances-scenario1 Mobile Convergence Laboratory 8 - Download source code - Build ONOS project - Package the project - Deploy the package Deploy & Install Copy VM instance
- 9. ONOS Multiple Instances-scenario2 Mobile Convergence Laboratory 9 - Download source code - Build ONOS project - Package the project - Deploy the package Deploy & Install
- 10. 1. Prepare multimachine • 물리 머신 or 가상 머신 • 홀수의 머신이 필요( ∵ RAFT algorithm for distributed clustering) • 물리 머신이라면 Java 설치 및 경로 설정(1,2), 환경 셋팅(4,5), 경로 설정(7) 필요 • 가상 머신이라면 그대로 복사 (주의! MAC 주소 수동 변경) Mobile Convergence Laboratory 10 Multiple Instance Setting (1/6)
- 11. 1. Prepare multimachine Mobile Convergence Laboratory 11 Multiple Instance Setting (1/6)
- 12.
- 13. 1. Prepare multimachine Mobile Convergence Laboratory 13 Multiple Instance Setting (1/6) 인스턴스 3개 복제 완료
- 14. 2. cell script MobileConvergence Laboratory 14 Multiple Instance Setting (2/6) • a cell is a collection of environment variables that are used • cells make it easy to use the utility scripts to package, configure, install, and run ONOS. • ~/onos/tools/test/cells
- 15. 2. cell script MobileConvergence Laboratory 15 Multiple Instance Setting (2/6) • ~/onos/tools/test/cells • 디렉토리에 FILE_NAME 파일에 다음과 같이 작성 • 머신과 환경에 맞게 작성
- 16. 3. Define controlplane • cell 명령어와 작성한 스크립트로 제어 평면에 대한 정의 $ cell FILE_NAME Mobile Convergence Laboratory 16 Multiple Instance Setting (4/6)
- 17. 4. Connect SSH •배포할 머신과 패키징을 받을 머신들끼리 연결 $ ssh-keygen -t rsa // 각 인스턴스 머신마다 key 생성 $ onos-push-keys $OC1 // 노드 개수 만큼 $ onos-push-keys $OC3 $ onos-verify-cell // 연결 확인 Mobile Convergence Laboratory 17 Multiple Instance Setting (3/6) …
- 18. 4. Connect SSH •배포할 머신과 패키징을 받을 머신들끼리 연결 Mobile Convergence Laboratory 18 Multiple Instance Setting (3/6) 주의! OpenSSH-Server 설치 필수 (p.5 참고)
- 19. 4. Connect SSH •배포할 머신과 패키징을 받을 머신들끼리 연결 Mobile Convergence Laboratory 19 Multiple Instance Setting (3/6) 연결할 인스턴스 수 만큼 push-key 진행 password (mclab) 초기 계정 비밀번호
- 20. 4. Connect SSH •각 인스턴스끼리 연결 확인 Mobile Convergence Laboratory 20 Multiple Instance Setting (3/6)
- 21. 5. Packaging andDeploying $ mvn clean install $ onos-package $ onos-install $OC1 $ onos-install $OC3 배포 및 실행, onos의 process PID가 반환 Mobile Convergence Laboratory 21 Multiple Instance Setting (5/6) …
- 22. 5. Packaging andDeploying $ onos-install $OC1 $ onos-install $OC3 배포 및 실행, onos의 process PID가 반환 Mobile Convergence Laboratory 22 Multiple Instance Setting (5/6) …
- 23. 6. Manage Multiinstances • CLI $ onos -w $OC1 //cell script에 등록한 인스턴스 이름 또는 $ onos -w 192.168.56.101 //해당 인스턴스의 IP • GUI in web http://192.168.56.101:8181/onos/ui/login.html //접속하고자 하는 인스턴스의 IP Mobile Convergence Laboratory 23 Multiple Instance Setting (6/6)
- 24. 6. Manage Multiinstances • CLI //cell에 등록한 인스턴스 이름 $ onos -w $OC1 //해당 인스턴스 IP $ onos -w 192.168.56.101 Mobile Convergence Laboratory 24 Multiple Instance Setting (6/6)
- 25. Mobile Convergence Laboratory25 <ONOS Instance>
- 26. ONOS command • onos-service$OC1 start/stop/restart/status • onos-install • onos-uninstall $OC1 • onos-show-cell • onos-log Mobile Convergence Laboratory 26
- 27. ONOS - Testmulti instance 1. mininet script by python code 2. connect multi instance to mininet Mobile Convergence Laboratory 27 http://mininet.org/sample-workflow/
- 28. mininet depth &fanout • depth 2 and fanout 8 = 64 hosts connected to 9 switches Mobile Convergence Laboratory 28 S S SS S SS SS H H… 8 hosts H H… 8 hosts …64 hosts 8 switches 1 switch switch number = ∑ (𝑓𝑎𝑛𝑜𝑢𝑡)+,-./012 +3-
- 29. python script Mobile ConvergenceLaboratory 29 입력되는 컨트롤러와의 연결 sudo python tree.py $OC1 $OC2 $OC3 컨트롤러 실행부 토폴로지 셋팅
- 30. tree.py code import sys frommininet.net import Mininet from mininet.topo import Topo from mininet.log import setLogLevel from mininet.cli import CLI from mininet.topolib import TreeTopo from mininet.node import RemoteController, OVSKernelSwitch myTree = TreeTopo(depth=3,fanout=4) def run( controllers ): net = Mininet( topo=myTree, controller=None, autoSetMacs=True ) ctrl_count = 0 for controllerIP in controllers: net.addController( 'c%d' % ctrl_count, RemoteController, ip=controllerIP ) ctrl_count += 1 net.start() CLI( net ) net.topo() if __name__ == '__main__': setLogLevel( 'info' ) if len(sys.argv ) > 1: controllers = sys.argv[ 1: ] else: print 'Usage: sudo python tree.py ' exit(1) run(controllers) Mobile Convergence Laboratory 30 for copy & paste
- 31.