165 lines
No EOL
6.3 KiB
HTML
165 lines
No EOL
6.3 KiB
HTML
<!DOCTYPE html>
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<html>
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<head>
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<meta charset="utf-8">
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<meta name="tool" content="leanote-desktop-app">
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<title>2</title>
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<style>
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*{font-family:"lucida grande","lucida sans unicode",lucida,helvetica,"Hiragino Sans GB","Microsoft YaHei","WenQuanYi Micro Hei",sans-serif;}
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margin: 0;
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}
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/*公用文字样式*/
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h1{font-size:30px}h2{font-size:24px}h3{font-size:18px}h4{font-size:14px}
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margin-bottom:15px
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</style>
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<!-- 该css供自定义样式 -->
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<link href="../leanote-html.css" rel="stylesheet">
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</head>
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<body>
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<div class="note-container">
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<h1 class="title" id="leanote-title">2</h1>
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<div class="content-html" id="leanote-content"><h2>万能的图表</h2><p>我们不能通过多次随机压力的结果来得出结论，因为这样的数据没有意义。为了能够获取有意义的结果，必须设计一系列测试场景。因此我们参照了这个图： </p><p><img id="__LEANOTE_D_IMG_1505975062984" src="2_files/59c3cd3bd01cce1c4d00002a.png" alt="" data-mce-src="/api/file/getImage?fileId=59c3cd3bd01cce1c4d00002a"></p><p>该图表明，直到一个特定的点，随着请求总数的增长，延迟基本上没有变化。然而，当这个拐点之后，响应延迟几乎以指数级增长。这就是我们期望度量的机器或者配置的拐点。</p><h2>Ganglia</h2><p>在提供一些测试结果之前，首先介绍下<a href="http://ganglia.sourceforge.net/" data-mce-href="http://ganglia.sourceforge.net/">Ganglia</a>工具。</p><blockquote><p>Ganglia是一个为高性能计算系统（例如集群和网格计算）设计的可扩展分布式监控系统</p></blockquote><p>下面的一些图表是我们一台服务器的监控数据截图，通过它们我们可以直观的了解Ganglia及其能够提供的图表信息。 </p><p><img id="__LEANOTE_D_IMG_1505975094335" src="2_files/59c3cd3bd01cce1c4d00002b.png" alt="" width="550" data-mce-src="/api/file/getImage?fileId=59c3cd3bd01cce1c4d00002b"><img id="__LEANOTE_D_IMG_1505975094336" src="2_files/59c3cd3bd01cce1c4d000029.png" alt="" width="550" data-mce-src="/api/file/getImage?fileId=59c3cd3bd01cce1c4d000029"></p><p>看起来不错吧？</p><p>我们使用Ganglia来监控HAProxy服务器，以提供一些核心指标，包括：</p><ol><li>TCP连接数：能够让我们了解当前系统上创建创建的TCP连接总数。注意，该数据是输入输出连接的总和。</li><li>数据包收发量：HAProxy实际发送和接收到的TCP包数量。</li><li>数据收发量：实际发送和接收的数据总量。</li><li>内存：压力测试过程中服务器的内存变化情况。</li><li>网络：了解压力测试过程中的网络带宽情况。</li></ol><p>以下是基于之前的测试所得到的一些限制，也是我们希望在这次压力测试中能够达到的成绩：</p><ul><li>TCP连接数700k</li><li>发送数据包50k个，接收数据包60k个</li><li>收发数据量均在10–15MB字节左右</li><li>内存消耗约14–15G</li><li>网络带宽7MB</li></ul><p>以上数据均为每秒数据</p><h2></h2><div class="article_page_left text_content_container" style="margin: 0px; padding: 0px; border: 0px; float: left; width: 610px; color: #000000; font-family: Helvetica, 'Open Sans', Arial, 'Hiragino Sans GB', 'Microsoft YaHei', 微软雅黑, STHeiti, 'WenQuanYi Micro Hei', SimSun, sans-serif; font-variant-ligatures: normal; orphans: 2; widows: 2;" data-mce-style="margin: 0px; padding: 0px; border: 0px; float: left; width: 610px; color: #000000; font-family: Helvetica, 'Open Sans', Arial, 'Hiragino Sans GB', 'Microsoft YaHei', 微软雅黑, STHeiti, 'WenQuanYi Micro Hei', SimSun, sans-serif; font-variant-ligatures: normal; orphans: 2; widows: 2;"></div></div>
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</div>
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