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      <h1 class="mume-header" id="ksb-%ED%88%B4%EB%B0%95%EC%8A%A4-%EC%84%A4%EC%B9%98%ED%95%98%EA%B8%B0nvidia-docker%EB%B2%84%EC%A0%84">KSB 툴박스 설치하기(nvidia-docker버전)</h1>

<hr>
<p>KSB 프레임워크를 쉽게 사용하기 위한 KSB 툴박스 1.0 nvidia-docker 버전 설치 방법을 설명합니다.</p>
<h2 class="mume-header" id="%EC%84%A4%EC%B9%98-%EC%9A%94%EA%B5%AC%EC%82%AC%ED%95%AD">설치 요구사항</h2>

<ul>
<li>Ubuntu 16.04가 설치된 메모리 16GB 이상 데스트탑이나 노트북이 요구됩니다.</li>
<li>KSB 툴박스는 Hadoop, hbase, kafka, zookeeper, spark 등 빅데이터 처리 프레임워크과 연동합니다. 따라서 다양한 워크플로우 예제를 실행하기 위해서는 16GB 이상의 메모리와 cpu 코어 8개이상의 PC 사양이 요구됩니다.<br>
(메모리 8GB 및 cpu 코어 4개 사양 PC에서는 제한적으로 워크플로우 예제 실행이 가능합니다.)</li>
</ul>
<h2 class="mume-header" id="%EC%82%AC%EC%9A%A9%EC%8B%9C-%EC%9C%A0%EC%9D%98%EC%82%AC%ED%95%AD">사용시 유의사항</h2>

<ul>
<li>제한된 GPU 카드에 대해서만 테스트 되어 있습니다.(Titanx, 1080Ti). 따라서 저사양 GPU 카드나 최신 GPU 카드를 사용하는 경우 동작하지 않을 수 있습니다.</li>
<li>현재 KSB 툴박스 nvidia-docker 버전은 CUDA 9.0, CUDNN 7.3.1 이 포함되어 있습니다.<pre data-role="codeBlock" data-info="sh" class="language-bash"><span class="token function">cat</span> /usr/local/cuda/version.txt
CUDA Version 9.0.176
<span class="token function">cat</span> /usr/include/cudnn.h <span class="token operator">|</span> <span class="token function">grep</span> CUDNN_MAJOR -A 2
<span class="token comment">#define CUDNN_MAJOR 7</span>
<span class="token comment">#define CUDNN_MINOR 3</span>
<span class="token comment">#define CUDNN_PATCHLEVEL 1</span>
</pre></li>
</ul>
<h2 class="mume-header" id="%EC%84%A4%EC%B9%98-%EC%88%9C%EC%84%9C">설치 순서</h2>

<p>Host PC에 KSB 툴박스를 설치하기 위해서 아래와 같은 절차로 설치합니다.</p>
<ul>
<li>[Host PC] csle 사용자 계정(권한: administrator) 생성하기</li>
<li>[Host PC] hostname을 csle1으로 변경하기</li>
<li>[Host PC] NVIDIA 그래픽카드 드라이버 설치하기</li>
<li>[Host PC] openjdk-8 설치하기</li>
<li>[Host PC] KSB 툴박스 관련 프로그램 설치하기</li>
<li>[Host PC] SSH port 변경 및 root 로그인 가능하도도록 SSHD config 수정하기</li>
<li>[Host PC] SSH config 수정하기</li>
<li>[Host PC] Docker 설치하기</li>
<li>[Host PC] nvidia-docker 2.0 설치하기</li>
<li>[Host PC] /etc/hosts 수정하기</li>
<li>[Host PC] bashrc 설정 추가하기</li>
<li>[Host PC] 크롬 설치하기</li>
<li>[Host PC] KSB 툴박스 설치 및 docker image 다운받기</li>
<li>[Host PC] KSB 툴박스 docker 이미지내 SSH 키를 host pc에 복사하기</li>
<li>[Host PC] SSH 재시작하기</li>
<li>[Host PC] ksb-csle 폴더 권한 변경하기</li>
<li>[Host PC] <a href="http://startDockerCsle.sh">startDockerCsle.sh</a>, <a href="http://stopDockerCsle.sh">stopDockerCsle.sh</a> 추가하기</li>
</ul>
<h2 class="mume-header" id="host-pc-csle-%EC%82%AC%EC%9A%A9%EC%9E%90-%EA%B3%84%EC%A0%95%EA%B6%8C%ED%95%9C-administrator-%EC%83%9D%EC%84%B1%ED%95%98%EA%B8%B0">[Host PC] csle 사용자 계정(권한 : administrator) 생성하기</h2>

<p>Host PC에 기존 Ubuntu 사용자와 설치환경을 분리하기 위해 아래의 명령으로 csle 계정을 추가 생성합니다.</p>
<pre data-role="codeBlock" data-info="sh" class="language-bash"><span class="token function">sudo</span> adduser csle
    Adding user <span class="token string">'csle'</span> <span class="token punctuation">..</span>.
    Adding new group <span class="token string">'csle'</span> <span class="token punctuation">(</span>1001<span class="token punctuation">)</span> <span class="token punctuation">..</span>.
    Adding new user <span class="token string">'csle'</span> <span class="token punctuation">(</span>1001<span class="token punctuation">)</span> with group <span class="token string">'csle'</span> <span class="token punctuation">..</span>.
    Creating home directory <span class="token string">'/home/csle'</span> <span class="token punctuation">..</span>.
    Copying files from <span class="token string">'/etc/skel'</span> <span class="token punctuation">..</span>.
    새 UNIX 암호 입력:
    새 UNIX 암호 재입력:
    passwd: password updated successfully
    Changing the user information <span class="token keyword">for</span> csle
    Enter the new value, or press ENTER <span class="token keyword">for</span> the default
    Full Name <span class="token punctuation">[</span><span class="token punctuation">]</span>:
    Room Number <span class="token punctuation">[</span><span class="token punctuation">]</span>:
    Work Phone <span class="token punctuation">[</span><span class="token punctuation">]</span>:
    Home Phone <span class="token punctuation">[</span><span class="token punctuation">]</span>:
    Other <span class="token punctuation">[</span><span class="token punctuation">]</span>:
    Is the information correct? <span class="token punctuation">[</span>Y/n<span class="token punctuation">]</span> Y
</pre><p>/etc/sudoers를 열어 csle 계정에 administrator 권한을 추가합니다.<br>
&quot;경고: 읽기 전용 파일을 고치고 있습니다&quot; 경고는 무시하고 저장하고 나옵니다.</p>
<pre data-role="codeBlock" data-info="sh" class="language-bash"><span class="token function">sudo</span> <span class="token function">vi</span> /etc/sudoers
    <span class="token comment"># User privilege specification</span>
    root    ALL<span class="token operator">=</span><span class="token punctuation">(</span>ALL:ALL<span class="token punctuation">)</span> ALL
    <span class="token comment"># 맨 아래줄에 내용을 추가합니다.</span>
    <span class="token comment">#includedir /etc/sudoers.d</span>
    csle    ALL<span class="token operator">=</span><span class="token punctuation">(</span>ALL<span class="token punctuation">)</span> NOPASSWD: ALL
</pre><h2 class="mume-header" id="host-pc-hostname%EC%9D%84-csle1%EC%9C%BC%EB%A1%9C-%EB%B3%80%EA%B2%BD%ED%95%98%EA%B8%B0">[Host PC] hostname을 csle1으로 변경하기</h2>

<p>docker 컨테이너가 호스트 pc의 네트워크를 동일하게 사용하는 host 모드로 동작하기 위해 docker 컨테이너와 호스트 pc의 호스트네임을 동일하게 합니다.</p>
<pre data-role="codeBlock" data-info="sh" class="language-bash"><span class="token function">sudo</span> <span class="token function">vi</span> /etc/hostname
csle1
</pre><p>PC를 재부팅하여 csle 계정으로 로그인합니다.</p>
<h2 class="mume-header" id="host-pc-nvidia-%EA%B7%B8%EB%9E%98%ED%94%BD%EC%B9%B4%EB%93%9C-%EB%93%9C%EB%9D%BC%EC%9D%B4%EB%B2%84-%EC%84%A4%EC%B9%98%ED%95%98%EA%B8%B0">[Host PC] NVIDIA 그래픽카드 드라이버 설치하기</h2>

<pre data-role="codeBlock" data-info="sh" class="language-bash"><span class="token function">sudo</span> add-apt-repository ppa:graphics-drivers
<span class="token function">sudo</span> <span class="token function">apt-get</span> update

왼쪽 우분투 <span class="token string">"시스템설정"</span> 아이콘 클릭 --<span class="token operator">></span> <span class="token string">"자세히 보기"</span> 아이콘 클릭 --<span class="token operator">></span>
하단의 <span class="token string">"업데이트 설치"</span> 버튼 클릭

왼쪽 우분투 <span class="token string">"시스템설정"</span> 아이콘 클릭 --<span class="token operator">></span> <span class="token string">"소프트웨어&amp;업데이터"</span> 아이콘 클릭 --<span class="token operator">></span>
상단 메뉴에서 <span class="token string">"추가 드라이버"</span> 메뉴 선택 --<span class="token operator">></span>
NVIDIA 드라이버 사용 선택<span class="token punctuation">(</span>예:NVIDIA binary driver-version 396.54<span class="token punctuation">(</span>독점,확인함<span class="token punctuation">))</span> --<span class="token operator">></span>
<span class="token string">"바뀐 내용 적용"</span> 후 컴퓨터 재부팅
</pre><pre data-role="codeBlock" data-info="sh" class="language-bash">csle@csle1:~$ nvidia-smi
Sat Oct 24 13:17:41 2018
+----------------------------------------------------------------------------+
<span class="token operator">|</span> NVIDIA-SMI 396.54                Driver Version: 396.54                    <span class="token operator">|</span>
<span class="token operator">|</span>------------------------------+----------------------+----------------------+
<span class="token operator">|</span> GPU  Name       Persistence-M<span class="token operator">|</span> Bus-Id        Disp.A <span class="token operator">|</span> Volatile Uncorr. ECC <span class="token operator">|</span>
<span class="token operator">|</span> Fan  Temp  Perf Pwr:Usage/Cap<span class="token operator">|</span>         Memory-Usage <span class="token operator">|</span> GPU-Util  Compute M. <span class="token operator">|</span>
<span class="token operator">|</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span>+<span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span>+<span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">|</span>
<span class="token operator">|</span>   0  TITAN X <span class="token punctuation">(</span>Pascal<span class="token punctuation">)</span>   Off  <span class="token operator">|</span> 00000000:01:00.0  On <span class="token operator">|</span>                  N/A <span class="token operator">|</span>
<span class="token operator">|</span> 25%   40C    P8   17W / 250W <span class="token operator">|</span>   1186MiB / 12190MiB <span class="token operator">|</span>      0%      Default <span class="token operator">|</span>
+------------------------------+----------------------+----------------------+

+----------------------------------------------------------------------------+
<span class="token operator">|</span> Processes:                                                      GPU Memory <span class="token operator">|</span>
<span class="token operator">|</span>  GPU      PID   Type   Process name                             Usage      <span class="token operator">|</span>
<span class="token operator">|</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">|</span>
<span class="token operator">|</span>    0     1021      G   /usr/lib/jvm/java-8-oracle/bin/java          632MiB <span class="token operator">|</span>
+----------------------------------------------------------------------------+
</pre><p>PC를 재부팅합니다.</p>
<h2 class="mume-header" id="host-pc-openjdk-8-%EC%84%A4%EC%B9%98%ED%95%98%EA%B8%B0">[Host PC] openjdk-8 설치하기</h2>

<p>Host PC에 Ubuntu 16.04를 처음 설치한 경우 java openjdk 8을 설치합니다. 아래의 내용을 터미널에 복사하여 설정 가능합니다.</p>
<pre data-role="codeBlock" data-info="sh" class="language-bash"><span class="token function">sudo</span> <span class="token function">apt-get</span> update <span class="token operator">&amp;&amp;</span> \
<span class="token function">sudo</span> <span class="token function">apt-get</span> -y <span class="token function">install</span> openjdk-8-jre <span class="token operator">&amp;&amp;</span> \
<span class="token function">sudo</span> <span class="token function">apt-get</span> -y <span class="token function">install</span> openjdk-8-jdk
</pre><p>터미널을 다시 시작한 후, 아래의 명령으로 java 설치 여부를 확인합니다.</p>
<pre data-role="codeBlock" data-info="sh" class="language-bash">csle@csle1:~$ java -version
java version <span class="token string">"1.8.0_212"</span>
Java<span class="token punctuation">(</span>TM<span class="token punctuation">)</span> SE Runtime Environment <span class="token punctuation">(</span>build 1.8.0_212-b13<span class="token punctuation">)</span>
Java HotSpot<span class="token punctuation">(</span>TM<span class="token punctuation">)</span> 64-Bit Server VM <span class="token punctuation">(</span>build 25.181-b13, mixed mode<span class="token punctuation">)</span>
</pre><h2 class="mume-header" id="host-pc-ksb-%ED%88%B4%EB%B0%95%EC%8A%A4-%EA%B4%80%EB%A0%A8-%ED%94%84%EB%A1%9C%EA%B7%B8%EB%9E%A8-%EC%84%A4%EC%B9%98%ED%95%98%EA%B8%B0">[Host PC] KSB 툴박스 관련 프로그램 설치하기</h2>

<p>Host PC에 아래의 명령으로 KSB 툴박스 관련 프로그램을 설치합니다. 아래의 내용을 터미널에 복사하여 설정가능합니다.</p>
<pre data-role="codeBlock" data-info="sh" class="language-bash"><span class="token function">sudo</span> <span class="token function">apt-get</span> update <span class="token operator">&amp;&amp;</span> \
<span class="token function">sudo</span> <span class="token function">apt-get</span> <span class="token function">install</span> -y --no-install-recommends apt-utils <span class="token function">curl</span> <span class="token function">bc</span> jq <span class="token operator">&amp;&amp;</span> \
<span class="token function">sudo</span> <span class="token function">apt-get</span> <span class="token function">install</span> -y <span class="token function">ssh</span> locales <span class="token function">wget</span> <span class="token function">git</span> vim <span class="token function">rsync</span> locales \
filezilla python3-pip <span class="token operator">&amp;&amp;</span> \
<span class="token function">sudo</span> <span class="token function">apt-get</span> <span class="token function">install</span> -y net-tools <span class="token operator">&amp;&amp;</span> \
pip3 <span class="token function">install</span> kafka-python
</pre><h2 class="mume-header" id="host-pc-ssh-port-%EB%B3%80%EA%B2%BD-%EB%B0%8F-root-%EB%A1%9C%EA%B7%B8%EC%9D%B8-%EA%B0%80%EB%8A%A5%ED%95%98%EB%8F%84%EB%A1%9D-sshd-config-%EC%88%98%EC%A0%95%ED%95%98%EA%B8%B0">[Host PC] SSH port 변경 및 root 로그인 가능하도록 SSHD config 수정하기</h2>

<p>아래의 명령을 수행하여 포트 정보를 2243로 수정하고, root 로그인을 허용합니다.</p>
<pre data-role="codeBlock" data-info="sh" class="language-bash"><span class="token function">sudo</span> <span class="token function">sed</span> -ri <span class="token string">'s/^Port 22/Port 2243/g'</span> /etc/ssh/sshd_config
<span class="token function">sudo</span> <span class="token function">sed</span> -ri \
<span class="token string">'s/^PermitRootLogin prohibit-password/PermitRootLogin yes/g'</span> \
/etc/ssh/sshd_config
</pre><p>만약 사용자가 openSSH를 사용한다면, 위의 스크립트이 적용되지 않습니다. 따라서, 직접 port 번호와 PermitRootLogin를 수정합니다.</p>
<h2 class="mume-header" id="host-pc-ssh-config-%EC%88%98%EC%A0%95%ED%95%98%EA%B8%B0-known_hosts%EC%97%90-%ED%98%B8%EC%8A%A4%ED%8A%B8-%EC%A0%80%EC%9E%A5-%EC%A7%88%EB%AC%B8%EC%9D%84-%ED%95%98%EC%A7%80-%EC%95%8A%EB%8F%84%EB%A1%9D-%EC%84%A4%EC%A0%95">[Host PC] SSH config 수정하기 (known_hosts에 호스트 저장 질문을 하지 않도록 설정)</h2>

<p>아래의 명령을 수행하여 ssh_config의 기존 내용을 모두 삭제하고 설정을 추가합니다. 아래의 내용을 터미널에 복사하여 설정가능합니다.</p>
<pre data-role="codeBlock" data-info="sh" class="language-bash"><span class="token function">sudo</span> truncate -s0 /etc/ssh/ssh_config
<span class="token keyword">echo</span> <span class="token string">"Host localhost"</span> \
<span class="token operator">|</span> <span class="token function">sudo</span> <span class="token function">tee</span> -a /etc/ssh/ssh_config <span class="token operator">></span>/dev/null
<span class="token keyword">echo</span> <span class="token string">"StrictHostKeyChecking no"</span> \
<span class="token operator">|</span> <span class="token function">sudo</span> <span class="token function">tee</span> -a /etc/ssh/ssh_config <span class="token operator">></span>/dev/null
<span class="token keyword">echo</span> <span class="token string">"Host 0.0.0.0"</span> \
<span class="token operator">|</span> <span class="token function">sudo</span> <span class="token function">tee</span> -a /etc/ssh/ssh_config <span class="token operator">></span>/dev/null
<span class="token keyword">echo</span> <span class="token string">"StrictHostKeyChecking no"</span> \
<span class="token operator">|</span> <span class="token function">sudo</span> <span class="token function">tee</span> -a /etc/ssh/ssh_config <span class="token operator">></span>/dev/null
<span class="token keyword">echo</span> <span class="token string">"Host 127.0.0.1"</span> \
<span class="token operator">|</span> <span class="token function">sudo</span> <span class="token function">tee</span> -a /etc/ssh/ssh_config <span class="token operator">></span>/dev/null
<span class="token keyword">echo</span> <span class="token string">"StrictHostKeyChecking no"</span> \
<span class="token operator">|</span> <span class="token function">sudo</span> <span class="token function">tee</span> -a /etc/ssh/ssh_config <span class="token operator">></span>/dev/null
<span class="token keyword">echo</span> <span class="token string">"Host csle*"</span> \
<span class="token operator">|</span> <span class="token function">sudo</span> <span class="token function">tee</span> -a /etc/ssh/ssh_config <span class="token operator">></span>/dev/null
<span class="token keyword">echo</span> <span class="token string">"StrictHostKeyChecking no"</span> \
<span class="token operator">|</span> <span class="token function">sudo</span> <span class="token function">tee</span> -a /etc/ssh/ssh_config <span class="token operator">></span>/dev/null
<span class="token keyword">echo</span> <span class="token string">"UserKnownHostsFile=/dev/null"</span> \
<span class="token operator">|</span> <span class="token function">sudo</span> <span class="token function">tee</span> -a /etc/ssh/ssh_config <span class="token operator">></span>/dev/null
<span class="token keyword">echo</span> <span class="token string">"Host master"</span> \
<span class="token operator">|</span> <span class="token function">sudo</span> <span class="token function">tee</span> -a /etc/ssh/ssh_config <span class="token operator">></span>/dev/null
<span class="token keyword">echo</span> <span class="token string">"StrictHostKeyChecking no"</span> \
<span class="token operator">|</span> <span class="token function">sudo</span> <span class="token function">tee</span> -a /etc/ssh/ssh_config <span class="token operator">></span>/dev/null
<span class="token keyword">echo</span> <span class="token string">"UserKnownHostsFile=/dev/null"</span> \
<span class="token operator">|</span> <span class="token function">sudo</span> <span class="token function">tee</span> -a /etc/ssh/ssh_config <span class="token operator">></span>/dev/null
<span class="token function">sudo</span> <span class="token function">service</span> <span class="token function">ssh</span> restart  
</pre><h2 class="mume-header" id="host-pc-docker-%EC%84%A4%EC%B9%98%ED%95%98%EA%B8%B0">[Host PC] Docker 설치하기</h2>

<p>Host PC에 docker-ce 프로그램을 설치하기 위해 아래 명령어를 순차적으로 입력합니다. 아래의 내용을 터미널에 복사하여 설정가능합니다.<br>
현재 2018년 10월 최신 버전은 18.06.1~ce~3-0~ubuntu 입니다.</p>
<pre data-role="codeBlock" data-info="sh" class="language-bash"><span class="token function">curl</span> -fsSL https://download.docker.com/linux/ubuntu/gpg <span class="token operator">|</span> \
<span class="token function">sudo</span> apt-key add - <span class="token operator">&amp;&amp;</span> \
<span class="token function">sudo</span> add-apt-repository \
<span class="token string">"deb [arch=amd64]
https://download.docker.com/linux/ubuntu <span class="token variable"><span class="token variable">$(</span>lsb_release -cs<span class="token variable">)</span></span> stable"</span> <span class="token operator">&amp;&amp;</span> \
<span class="token function">sudo</span> <span class="token function">apt-get</span> update <span class="token operator">&amp;&amp;</span> \
apt-cache policy docker-ce <span class="token operator">&amp;&amp;</span> \
<span class="token function">sudo</span> <span class="token function">apt-get</span> <span class="token function">install</span> -y docker-ce<span class="token operator">=</span>18.06.1~ce~3-0~ubuntu <span class="token operator">&amp;&amp;</span> \
<span class="token function">sudo</span> systemctl status docker
</pre><h4 class="mume-header" id="%EC%B0%B8%EA%B3%A0%EC%82%AC%ED%95%AD-%EA%B8%B0%EC%A1%B4-docker-engine-%EC%82%AD%EC%A0%9C-%EB%B0%A9%EB%B2%95">[참고사항] 기존 docker-engine 삭제 방법</h4>

<pre data-role="codeBlock" data-info="sh" class="language-bash"><span class="token function">sudo</span> <span class="token function">apt-get</span> purge -y docker docker-engine docker.io
</pre><p>Docker 명령시 root 권한이 필요합니다. root가 아닌 사용자가 sudo 없이 사용하려면 해당 사용자를 docker 그룹에 추가합니다.</p>
<pre data-role="codeBlock" data-info="sh" class="language-bash"><span class="token function">sudo</span> <span class="token function">usermod</span> -aG docker csle
<span class="token comment"># 사용자가 로그인 중이라면 다시 로그인 후 권한이 적용됩니다.</span>
<span class="token comment"># 단, 현재 터미널에서만 적용됩니다.</span>
<span class="token function">sudo</span> <span class="token function">su</span> csle
PC 재부팅
</pre><p>PC 재부팅을 통해서 sudo 명령없이 docker 명령을 사용할 수 있습니다.</p>
<h2 class="mume-header" id="host-pc-nvidia-docker-20-%EC%84%A4%EC%B9%98%ED%95%98%EA%B8%B0">[Host PC] nvidia-docker 2.0 설치하기</h2>

<pre data-role="codeBlock" data-info="sh" class="language-bash"><span class="token function">curl</span> -s -L https://nvidia.github.io/nvidia-docker/gpgkey <span class="token operator">|</span> \
<span class="token function">sudo</span> apt-key add - <span class="token operator">&amp;&amp;</span> \
<span class="token function">curl</span> -s -L \
https://nvidia.github.io/nvidia-docker/\
ubuntu16.04/amd64/nvidia-docker.list <span class="token operator">|</span> \
<span class="token function">sudo</span> <span class="token function">tee</span> /etc/apt/sources.list.d/nvidia-docker.list <span class="token operator">&amp;&amp;</span> \
<span class="token function">sudo</span> <span class="token function">apt-get</span> update <span class="token operator">&amp;&amp;</span> \
<span class="token function">sudo</span> <span class="token function">apt-get</span> <span class="token function">install</span> -y nvidia-docker2 <span class="token operator">&amp;&amp;</span> \
<span class="token function">sudo</span> <span class="token function">pkill</span> -SIGHUP dockerd
</pre><p>아래의 질의에 대해서 Y를 누르면 설치가 완료됩니다.</p>
<pre data-role="codeBlock" data-info="sh" class="language-bash">Configuration <span class="token function">file</span> <span class="token string">'/etc/docker/daemon.json'</span>
 <span class="token operator">==</span><span class="token operator">></span> File on system created by you or by a script.
 <span class="token operator">==</span><span class="token operator">></span> File also <span class="token keyword">in</span> package provided by package maintainer.
   어떻게 하시겠습니까? 다음 중에 하나를 선택할 수 있습니다:
    Y 또는 I <span class="token keyword">:</span> 패키지 관리자의 버전을 설치합니다
    N 또는 O <span class="token keyword">:</span> 현재 설치된 버전을 유지합니다
       D     <span class="token keyword">:</span> 버전 간의 차이점을 표시합니다
       Z     <span class="token keyword">:</span> 프로세스를 백그라운드로 하고 상황을 알아봅니다
기본값으로 현재 버전을 그대로 유지합니다.
*** daemon.json <span class="token punctuation">(</span>Y/I/N/O/D/Z<span class="token punctuation">)</span> <span class="token punctuation">[</span>기본값<span class="token operator">=</span>N<span class="token punctuation">]</span> ? Y
</pre><pre data-role="codeBlock" data-info="sh" class="language-bash">csle@csle1:~$ nvidia-docker version
NVIDIA Docker: 2.0.3
Client:
 Version:           18.06.1-ce
 API version:       1.38
 Go version:        go1.10.3
 Git commit:        e68fc7a
 Built:             Tue Aug 21 17:24:56 2018
 OS/Arch:           linux/amd64
 Experimental:      <span class="token boolean">false</span>
</pre><pre data-role="codeBlock" data-info="sh" class="language-bash">Server:
 Engine:
  Version:          18.06.1-ce
  API version:      1.38 <span class="token punctuation">(</span>minimum version 1.12<span class="token punctuation">)</span>
  Go version:       go1.10.3
  Git commit:       e68fc7a
  Built:            Tue Aug 21 17:23:21 2018
  OS/Arch:          linux/amd64
  Experimental:     <span class="token boolean">false</span>

</pre><h3 class="mume-header" id="%EC%B0%B8%EA%B3%A0%EC%82%AC%ED%95%AD-%EA%B8%B0%EC%A1%B4-nvidia-docker-10-%EB%B2%84%EC%A0%84%EC%9D%84-%EC%82%AD%EC%A0%9C-%EB%B0%A9%EB%B2%95">[참고사항] 기존 nvidia-docker 1.0 버전을 삭제 방법</h3>

<pre data-role="codeBlock" data-info="sh" class="language-bash">docker volume <span class="token function">ls</span> -q -f driver<span class="token operator">=</span>nvidia-docker <span class="token operator">|</span> \
<span class="token function">xargs</span> -r -I<span class="token punctuation">{</span><span class="token punctuation">}</span> -n1 docker <span class="token function">ps</span> -q -a -f volume<span class="token operator">=</span><span class="token punctuation">{</span><span class="token punctuation">}</span> <span class="token operator">|</span> <span class="token function">xargs</span> -r docker <span class="token function">rm</span> -f
<span class="token function">sudo</span> <span class="token function">apt-get</span> purge nvidia-docker
</pre><h2 class="mume-header" id="host-pc-etchosts-%EC%88%98%EC%A0%95%ED%95%98%EA%B8%B0">[Host PC] /etc/hosts 수정하기</h2>

<p>KSB 툴박스의 docker 컨테이너 주소에 쉽게 접근하기 위해 아래와 같이 /etc/hosts 내용을 수정합니다. (host pc의 IP는 192.168.0.5로 가정합니다. 자신의 PC IP에 맞게 설정합니다.)</p>
<pre data-role="codeBlock" data-info="sh" class="language-bash">127.0.0.1       localhost
<span class="token comment"># 아래 주석처리. Hdfs 연동시 문제가 생김.</span>
<span class="token comment">#127.0.1.1      csle1</span>

<span class="token comment"># The following lines are desirable for IPv6 capable hosts</span>
::1     ip6-localhost ip6-loopback
fe00::0 ip6-localnet
ff00::0 ip6-mcastprefix
ff02::1 ip6-allnodes
ff02::2 ip6-allrouters

<span class="token comment"># 아래의 내용 추가</span>
192.168.0.5     csle1 master
</pre><h2 class="mume-header" id="host-pc-bashrc-%EC%84%A4%EC%A0%95-%EC%B6%94%EA%B0%80%ED%95%98%EA%B8%B0">[Host PC] bashrc 설정 추가하기</h2>

<p>csle 계정의 bashrc 파일을 업데이트 합니다. 아래의 내용을 터미널에 복사하여 설정가능합니다.</p>
<pre data-role="codeBlock" data-info="sh" class="language-bash"><span class="token function">cat</span> <span class="token operator">&lt;&lt;</span>EOT <span class="token operator">>></span> ~/.bashrc
<span class="token function">export</span> JAVA_HOME<span class="token operator">=</span>/usr/lib/jvm/java-8-openjdk-amd64
<span class="token function">export</span> PATH<span class="token operator">=</span>\<span class="token variable">$PATH</span>:\<span class="token variable">$JAVA_HOME</span>/bin
<span class="token function">export</span> KSB_HOME<span class="token operator">=</span>/home/csle/ksb-csle
<span class="token function">export</span> PYTHONPATH<span class="token operator">=</span>/home/csle/ksb-csle/pyML/:\<span class="token variable">$PYTHONPATH</span>
<span class="token function">export</span> PYTHONPATH<span class="token operator">=</span>./:/home/csle/ksb-csle/ksblib:\<span class="token variable">$PYTHONPATH</span>
EOT
<span class="token function">source</span> ~/.bashrc
</pre><h2 class="mume-header" id="host-pc-%ED%81%AC%EB%A1%AC-%EC%84%A4%EC%B9%98%ED%95%98%EA%B8%B0-optional">[Host PC] 크롬 설치하기 (optional)</h2>

<p>KSB 툴박스의 웹툴킷을 안정적으로 사용하기 위해서 크롬 브라우저를 설치합니다. 아래의 내용을 터미널에 복사하여 설정가능합니다.</p>
<pre data-role="codeBlock" data-info="sh" class="language-bash"><span class="token function">cd</span> <span class="token operator">&amp;&amp;</span> \
<span class="token function">wget</span> \
https://dl.google.com/linux/direct/google-chrome-stable_current_amd64.deb
<span class="token function">sudo</span> <span class="token function">apt-get</span> update <span class="token operator">&amp;&amp;</span> \
<span class="token function">sudo</span> <span class="token function">apt-get</span> <span class="token function">install</span> -y libxss1 libappindicator1 libindicator7 <span class="token operator">&amp;&amp;</span> \
<span class="token function">sudo</span> dpkg -i google-chrome-stable_current_amd64.deb
</pre><h2 class="mume-header" id="host-pc-ksb-%ED%94%84%EB%A0%88%EC%9E%84%EC%9B%8C%ED%81%AC-%EC%84%A4%EC%B9%98-%EB%B0%8F-docker-image-%EB%8B%A4%EC%9A%B4%EB%B0%9B%EA%B8%B0">[Host PC] KSB 프레임워크 설치 및 docker image 다운받기</h2>

<p><a href="http://csleoss.etri.re.kr:8088/kor/sub02_01.do" title="&#xB2E4;&#xC6B4;&#xB85C;&#xB4DC;"> 다운로드</a> 페이지로부터 KSB 툴박스(docker image 별도) 파일을 다운로드합니다.</p>
<ul>
<li>ksb_toolbox_v1.tar.gz : KSB 툴박스 파일<br>
<br></li>
</ul>
<p>csle 사용자 계정의 home에 ksb_toolbox_v1.tar.gz 압축을 해제합니다. 결과적으로 /home/csle/ksb-csle 폴더가 생성됩니다.</p>
<pre data-role="codeBlock" data-info="sh" class="language-bash"><span class="token function">tar</span> zxvf ksb_toolbox_v1.tar.gz -C /home/csle/
</pre><p>/home/csle/ksb-csle 폴더는 다음의 하위 폴더들로 구성됩니다.</p>
<ul>
<li>/bin : KSB 프레임워크 shell 스크립트 파일 저장 폴더</li>
<li>/components : tensorflow train 예제 프로그램 저장 폴더</li>
<li>/conf : KSB 프레임워크 환경설정 파일 저장 폴더</li>
<li>/docker : KSB 툴박스 docker 컨테이너 실행 스크립트 저장 폴더</li>
<li>/examples : CLI(Command Line Interface)를 통해 워크플로우 생성 및 submit 할 수 있는 프로젝트 폴더</li>
<li>/jars : KSB 프레임워크 1.0 버전의 jar 파일 저장 폴더</li>
<li>/ksblib : python 전처리 라이브러리 폴더</li>
<li>/kubernetes : 쿠버네티스 환경설정 폴더</li>
<li>/logs : log 저장 폴더</li>
<li>/pyML : autoML python 프로젝트 폴더</li>
<li>/tools: 예제 테스트를 위한 프로그램(jmeter, hadoop, kafka, maven, .ssh, webToolkit_db)<br>
<br></li>
</ul>
<p>Host PC에서 다음 명령으로 KSB 툴박스 docker image를 docker hub로부터 pull 합니다.</p>
<pre data-role="codeBlock" data-info="sh" class="language-bash">docker pull ksbframework/ksb_toolbox_nvidia:1.0.1-cuda9.0-cudnn7
</pre><p>Host PC에서 다음 명령으로 KSB 툴박스 docker image를 확인합니다.<br>
(참고사항: 2019.05.24일 docker image 버전은 1.0.1 버전이며, 추후 TAG 정보 및 SIZE 정보는 배포 버전에 따라 다를 수 있습니다)</p>
<pre data-role="codeBlock" data-info="sh" class="language-bash">csle@csle1:~/ksb-csle$ docker images
REPOSITORY                       TAG                   IMAGE ID      CREATED     SIZE
ksbframework/ksb_toolbox_nvidia  1.0.1-cuda9.0-cudnn7  e3661c94fd07  7 hours ago 9.39GB
</pre><h2 class="mume-header" id="host-pc-ksb-%ED%88%B4%EB%B0%95%EC%8A%A4-docker-%EC%9D%B4%EB%AF%B8%EC%A7%80%EB%82%B4-ssh-%ED%82%A4%EB%A5%BC-host-pc%EC%97%90-%EB%B3%B5%EC%82%AC%ED%95%98%EA%B8%B0">[Host PC] KSB 툴박스 docker 이미지내 SSH 키를 host pc에 복사하기</h2>

<p>KSB 툴박스 docker 컨테이너의 인증키를 공유하기 위해 ksb-csle/tools 폴더에 있는 .ssh 폴더를 csle 홈에 카피합니다.</p>
<pre data-role="codeBlock" data-info="sh" class="language-bash"><span class="token function">cp</span> -r ~/ksb-csle/tools/.ssh/ /home/csle/
</pre><p>authorized_keys를 다른 계정이 읽고 쓸 수 없게 600 mode(소유자만 rw 가능)로 변경합니다.</p>
<pre data-role="codeBlock" data-info="" class="language-"><code>chmod 700 ~/.ssh
chmod 600 ~/.ssh/authorized_keys
</code></pre><h2 class="mume-header" id="host-pc-ssh-%EC%9E%AC%EC%8B%9C%EC%9E%91%ED%95%98%EA%B8%B0">[Host PC] SSH 재시작하기</h2>

<pre data-role="codeBlock" data-info="sh" class="language-bash"><span class="token function">sudo</span> <span class="token function">service</span> <span class="token function">ssh</span> restart
</pre><h2 class="mume-header" id="host-pc-ksbconf-%EC%88%98%EC%A0%95%ED%95%98%EA%B8%B0">[Host PC] ksb.conf 수정하기</h2>

<p>KSB 툴박스 nvidia 이미지 버전은 tensorflow 1.6 gpu 버전과 cpu 버전이 설치되어있습니다. 따라서, 아래와 같이 ksb.conf 파일을 수정합니다.</p>
<pre data-role="codeBlock" data-info="sh" class="language-bash">tensorflow <span class="token punctuation">{</span>
    <span class="token function">enable</span> <span class="token operator">=</span> <span class="token string">"true"</span>
<span class="token comment">#        python_path = "/anaconda3/envs/tensorflow/bin/python"</span>
    python_path <span class="token operator">=</span> <span class="token string">"/anaconda3/envs/tensorflow16_gpu/bin/python"</span>
    python_code_project_path <span class="token operator">=</span> <span class="token string">"/analysis"</span>
<span class="token punctuation">}</span>

</pre><h2 class="mume-header" id="host-pc-ksb-csle-%ED%8F%B4%EB%8D%94-%EA%B6%8C%ED%95%9C-%EB%B3%80%EA%B2%BD%ED%95%98%EA%B8%B0">[Host PC] ksb-csle 폴더 권한 변경하기</h2>

<p>KSB 툴박스 docker 컨테이너에서 Host PC의 ksb-csle 폴더를 엑세스 할 수 있도록 폴더 권한을 변경합니다.</p>
<pre data-role="codeBlock" data-info="sh" class="language-bash"><span class="token function">sudo</span> <span class="token function">chmod</span> 777 -R /home/csle/ksb-csle/
</pre><h2 class="mume-header" id="host-pc-startdockercslesh-stopdockercslesh-%EC%B6%94%EA%B0%80%ED%95%98%EA%B8%B0">[Host PC] <a href="http://startDockerCsle.sh">startDockerCsle.sh</a> <a href="http://stopDockerCsle.sh">stopDockerCsle.sh</a> 추가하기</h2>

<p>아래의 스크립트를 복사하여 터미널에서 실행하면 <a href="http://startDockerCsle.sh">startDockerCsle.sh</a> 파일이 생성됩니다.</p>
<pre data-role="codeBlock" data-info="sh" class="language-bash"><span class="token function">mkdir</span> -p /home/csle/ksb-csle/docker/1.0-nvidia
<span class="token function">cat</span> <span class="token operator">&lt;&lt;</span>EOT <span class="token operator">>></span> /home/csle/ksb-csle/docker/1.0-nvidia/startDockerCsle.sh
<span class="token comment">#!/bin/bash</span>
<span class="token function">sudo</span> <span class="token function">service</span> postgresql stop

docker network <span class="token function">rm</span> csle_cluster csle_standalone

docker <span class="token function">rm</span> -f csle1
<span class="token keyword">echo</span> <span class="token string">"start csle1 slave container..."</span>
docker run --rm -itd \\
         --runtime<span class="token operator">=</span>nvidia \\
         --net<span class="token operator">=</span>host \\
         -v /home/csle/ksb-csle:/home/csle/ksb-csle \\
         -v /etc/localtime:/etc/localtime:ro \\
         -v /etc/timezone:/etc/timezone \\
         --user<span class="token operator">=</span>csle \\
         --name<span class="token operator">=</span>csle1 \\
         --hostname<span class="token operator">=</span>csle1\\
         ksbframework/ksb_toolbox_nvidia:1.0.1-cuda9.0-cudnn7 <span class="token function">bash</span>

docker <span class="token function">exec</span> -it csle1 <span class="token function">bash</span>
EOT
<span class="token function">chmod</span> +x /home/csle/ksb-csle/docker/1.0-nvidia/startDockerCsle.sh
<span class="token function">cat</span> <span class="token operator">&lt;&lt;</span>EOT <span class="token operator">>></span> /home/csle/ksb-csle/docker/1.0-nvidia/stopDockerCsle.sh
<span class="token comment">#!/bin/bash</span>
docker <span class="token function">rm</span> -f csle1
EOT
<span class="token function">chmod</span> +x /home/csle/ksb-csle/docker/1.0-nvidia/stopDockerCsle.sh
</pre><p>KSB 인공지능 프레임워크 실행하기 위해 <a href="https://csleoss.etri.re.kr/images/contents/manual_1.0/1.5.HowToRunFirst.html" title="KSB &#xC778;&#xACF5;&#xC9C0;&#xB2A5; &#xD504;&#xB808;&#xC784;&#xC6CC;&#xD06C; &#xC2E4;&#xD589;&#xD558;&#xAE30;">KSB 인공지능 프레임워크 실행하기</a> 페이지로 이동하여 KSB 프레임워크를 구동합니다.<br>
단, nvidia-docker 버전 KSB 프레임워크 구동시 기존 cpu버전 툴박스와의 차이점은 위에서 생성한 /home/csle/ksb-csle/docker/1.0-nvidia/startDockerCsle.sh을 실행하여 KSB 툴박스 docker 컨테이너를 실행하고 접속하는 것일 뿐 모두 동일합니다.</p>
<pre data-role="codeBlock" data-info="sh" class="language-bash">csle@csle1:~/ksb-csle/docker/1.0-nvidia$ ./startDockerCsle.sh
Error response from daemon: network csle_cluster not found
Error response from daemon: network csle_standalone not found
csle1
start csle1 slave container<span class="token punctuation">..</span>.
4918997cd2dac93fe0b52f3df3a45a46db6df1f3f052854061696695451d2f22
csle@csle1:/$
</pre><p>이상으로 nvidia-docker 버전 KSB 툴박스를 구동하기 위해 준비가 완료되었습니다.<br>
<a href="https://csleoss.etri.re.kr/images/contents/manual_1.0/1.5.HowToRunFirst.html" title="KSB &#xC778;&#xACF5;&#xC9C0;&#xB2A5; &#xD504;&#xB808;&#xC784;&#xC6CC;&#xD06C; &#xC2E4;&#xD589;&#xD558;&#xAE30;">KSB 인공지능 프레임워크 실행하기</a> 페이지로 이동하여 KSB 프레임워크를 구동하도록 하겠습니다.</p>

      </div>
      <div class="md-sidebar-toc"><ul>
<li><a href="#ksb-%ED%88%B4%EB%B0%95%EC%8A%A4-%EC%84%A4%EC%B9%98%ED%95%98%EA%B8%B0nvidia-docker%EB%B2%84%EC%A0%84">KSB 툴박스 설치하기(nvidia-docker버전)</a>
<ul>
<li><a href="#%EC%84%A4%EC%B9%98-%EC%9A%94%EA%B5%AC%EC%82%AC%ED%95%AD">설치 요구사항</a></li>
<li><a href="#%EC%82%AC%EC%9A%A9%EC%8B%9C-%EC%9C%A0%EC%9D%98%EC%82%AC%ED%95%AD">사용시 유의사항</a></li>
<li><a href="#%EC%84%A4%EC%B9%98-%EC%88%9C%EC%84%9C">설치 순서</a></li>
<li><a href="#host-pc-csle-%EC%82%AC%EC%9A%A9%EC%9E%90-%EA%B3%84%EC%A0%95%EA%B6%8C%ED%95%9C-administrator-%EC%83%9D%EC%84%B1%ED%95%98%EA%B8%B0">[Host PC] csle 사용자 계정(권한 : administrator) 생성하기</a></li>
<li><a href="#host-pc-hostname%EC%9D%84-csle1%EC%9C%BC%EB%A1%9C-%EB%B3%80%EA%B2%BD%ED%95%98%EA%B8%B0">[Host PC] hostname을 csle1으로 변경하기</a></li>
<li><a href="#host-pc-nvidia-%EA%B7%B8%EB%9E%98%ED%94%BD%EC%B9%B4%EB%93%9C-%EB%93%9C%EB%9D%BC%EC%9D%B4%EB%B2%84-%EC%84%A4%EC%B9%98%ED%95%98%EA%B8%B0">[Host PC] NVIDIA 그래픽카드 드라이버 설치하기</a></li>
<li><a href="#host-pc-openjdk-8-%EC%84%A4%EC%B9%98%ED%95%98%EA%B8%B0">[Host PC] openjdk-8 설치하기</a></li>
<li><a href="#host-pc-ksb-%ED%88%B4%EB%B0%95%EC%8A%A4-%EA%B4%80%EB%A0%A8-%ED%94%84%EB%A1%9C%EA%B7%B8%EB%9E%A8-%EC%84%A4%EC%B9%98%ED%95%98%EA%B8%B0">[Host PC] KSB 툴박스 관련 프로그램 설치하기</a></li>
<li><a href="#host-pc-ssh-port-%EB%B3%80%EA%B2%BD-%EB%B0%8F-root-%EB%A1%9C%EA%B7%B8%EC%9D%B8-%EA%B0%80%EB%8A%A5%ED%95%98%EB%8F%84%EB%A1%9D-sshd-config-%EC%88%98%EC%A0%95%ED%95%98%EA%B8%B0">[Host PC] SSH port 변경 및 root 로그인 가능하도록 SSHD config 수정하기</a></li>
<li><a href="#host-pc-ssh-config-%EC%88%98%EC%A0%95%ED%95%98%EA%B8%B0-known_hosts%EC%97%90-%ED%98%B8%EC%8A%A4%ED%8A%B8-%EC%A0%80%EC%9E%A5-%EC%A7%88%EB%AC%B8%EC%9D%84-%ED%95%98%EC%A7%80-%EC%95%8A%EB%8F%84%EB%A1%9D-%EC%84%A4%EC%A0%95">[Host PC] SSH config 수정하기 (known_hosts에 호스트 저장 질문을 하지 않도록 설정)</a></li>
<li><a href="#host-pc-docker-%EC%84%A4%EC%B9%98%ED%95%98%EA%B8%B0">[Host PC] Docker 설치하기</a><br>
* <a href="#%EC%B0%B8%EA%B3%A0%EC%82%AC%ED%95%AD-%EA%B8%B0%EC%A1%B4-docker-engine-%EC%82%AD%EC%A0%9C-%EB%B0%A9%EB%B2%95">[참고사항] 기존 docker-engine 삭제 방법</a></li>
<li><a href="#host-pc-nvidia-docker-20-%EC%84%A4%EC%B9%98%ED%95%98%EA%B8%B0">[Host PC] nvidia-docker 2.0 설치하기</a>
<ul>
<li><a href="#%EC%B0%B8%EA%B3%A0%EC%82%AC%ED%95%AD-%EA%B8%B0%EC%A1%B4-nvidia-docker-10-%EB%B2%84%EC%A0%84%EC%9D%84-%EC%82%AD%EC%A0%9C-%EB%B0%A9%EB%B2%95">[참고사항] 기존 nvidia-docker 1.0 버전을 삭제 방법</a></li>
</ul>
</li>
<li><a href="#host-pc-etchosts-%EC%88%98%EC%A0%95%ED%95%98%EA%B8%B0">[Host PC] /etc/hosts 수정하기</a></li>
<li><a href="#host-pc-bashrc-%EC%84%A4%EC%A0%95-%EC%B6%94%EA%B0%80%ED%95%98%EA%B8%B0">[Host PC] bashrc 설정 추가하기</a></li>
<li><a href="#host-pc-%ED%81%AC%EB%A1%AC-%EC%84%A4%EC%B9%98%ED%95%98%EA%B8%B0-optional">[Host PC] 크롬 설치하기 (optional)</a></li>
<li><a href="#host-pc-ksb-%ED%94%84%EB%A0%88%EC%9E%84%EC%9B%8C%ED%81%AC-%EC%84%A4%EC%B9%98-%EB%B0%8F-docker-image-%EB%8B%A4%EC%9A%B4%EB%B0%9B%EA%B8%B0">[Host PC] KSB 프레임워크 설치 및 docker image 다운받기</a></li>
<li><a href="#host-pc-ksb-%ED%88%B4%EB%B0%95%EC%8A%A4-docker-%EC%9D%B4%EB%AF%B8%EC%A7%80%EB%82%B4-ssh-%ED%82%A4%EB%A5%BC-host-pc%EC%97%90-%EB%B3%B5%EC%82%AC%ED%95%98%EA%B8%B0">[Host PC] KSB 툴박스 docker 이미지내 SSH 키를 host pc에 복사하기</a></li>
<li><a href="#host-pc-ssh-%EC%9E%AC%EC%8B%9C%EC%9E%91%ED%95%98%EA%B8%B0">[Host PC] SSH 재시작하기</a></li>
<li><a href="#host-pc-ksbconf-%EC%88%98%EC%A0%95%ED%95%98%EA%B8%B0">[Host PC] ksb.conf 수정하기</a></li>
<li><a href="#host-pc-ksb-csle-%ED%8F%B4%EB%8D%94-%EA%B6%8C%ED%95%9C-%EB%B3%80%EA%B2%BD%ED%95%98%EA%B8%B0">[Host PC] ksb-csle 폴더 권한 변경하기</a></li>
<li><a href="#host-pc-startdockercslesh-stopdockercslesh-%EC%B6%94%EA%B0%80%ED%95%98%EA%B8%B0">[Host PC] startDockerCsle.sh stopDockerCsle.sh 추가하기</a></li>
</ul>
</li>
</ul>
</div>
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