时间:2021-07-01 10:21:17 帮助过:40人阅读
由于WebSocket允许保持长连接,因此当建立连接后服务器可以主动地向Client发送相关信息.下面通过服务端获取当前CPU的使用情况主动发送给网页,让网页实时显示CPU使用情况的曲线图.该事例的主要功能是包括服务端获取CPU使和情况和HTML5使用canvas进行曲线图绘制.
实现效果主要是模仿windows的任务管理器,显示每个核的工作情况.
可能通过PerformanceCounter来获取具本CPU线程的使用情况,不过在构建PerformanceCounter前先获取到CPU对应的线程数量.获取这个数量可以通过Environment.ProcessorCount属性获取,然后遍历构建每个PerformanceCounter
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int coreCount = Environment.ProcessorCount; for
( int i = 0; i < coreCount; i++) { mCounters.Add( new
PerformanceCounter( "Processor" , "% Processor Time" , i.ToString())); } |
为了方便计数器的处理,简单地封装了一个基础类,完整代码如下:
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/// /// Copyright © henryfan 2012 ///Email: henryfan@msn.com ///HomePage: http://www.ikende.com ///CreateTime: 2012/12/24 15:10:44 /// public
class ProcessorCounter { private
List new
List public
IList { get { return
mCounters; } } public
void Open() { int
coreCount = Environment.ProcessorCount; for
( int i = 0; i < coreCount; i++) { mCounters.Add( new
PerformanceCounter( "Processor" , "% Processor Time" , i.ToString())); } } public
ItemUsage[] GetValues() { ItemUsage[] values = new
ItemUsage[mCounters.Count]; for
( int i = 0; i < mCounters.Count; i++) { values[i] = new
ItemUsage(); values[i].ID = i.ToString(); values[i].Name = "CPU "
+i.ToString(); values[i].Percent = mCounters[i].NextValue(); } return
values; } } public
class ItemUsage { public
string Name { get ; set ; } public
float Percent { get ; set ; } public
string ID { get ; set ; } } |
这样一个用于统计CPU所有线程使用情况计数的类就完成了.
首先定义一些简单的处理结构
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function ProcessorInfo() { this .Item = null ; this .Points = new
Array(); for
( var i = 0; i < 50; i++) { this .Points.push( new
Point(0, 0)); } } function
Point(x, y) { this .X = x; this .Y = y; } |
主要定义线程信息结构,默认初始化50个座标,当在接收服务线程使用情况的时候,构建一个点添加到数组件尾部同时把第一个移走.通过定时绘制这50个点的曲线这样一个动态的走势就可以完成了.
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function drawProceessor(item) { var
canvas = document.getElementById( 'processimg'
+ item.Item.ID); var
context = canvas.getContext( '2d' ); context.beginPath(); context.rect(0, 0, 200, 110); context.fillStyle = 'black' ; context.fill(); context.lineWidth = 2; context.strokeStyle = 'white' ; context.stroke(); context.beginPath(); context.moveTo(2, 106); for
( var i = 0; i < item.Points.length; i++) { context.lineTo(4 * i + 2, 110 - item.Points[i].Y - 4); } context.lineTo(200, 106); context.closePath(); context.lineWidth = 1; context.fillStyle = '#7FFF00' ; context.fill(); context.strokeStyle = '#7CFC00' ; context.stroke(); context.font = '12pt Calibri' ; context.fillStyle = 'white' ; context.fillText(item.Item.Name, 60, 20); } function
addUploadItem(info) { if
(cpus[info.ID] == null ) { var
pinfo = new ProcessorInfo(); pinfo.Item = info; $( ' '" width="200" height="110">' ).appendTo($( '#lstProcessors' )); cpus[info.ID] = pinfo; processors.push(pinfo); pinfo.Points.shift(); pinfo.Points.push( new
Point(0, info.Percent)); drawProceessor(pinfo); } else
{ var
pinfo = cpus[info.ID]; pinfo.Points.shift(); pinfo.Points.push( new
Point(0, info.Percent)); } } |
只需要通过定时器来不停地更新线程使用绘制即可.
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setInterval( function
() { for
( var i = 0; i < processors.length; i++) { drawProceessor(processors[i]); } }, 1000); |
对于服务端其实可以根据自己的需要来使用websocket协议实现,.net 4.5也提供相应的封装.而这里则使用了beetle对应websocket的扩展协议包,整体代码如下:
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class
Program : WebSocketJsonServer { static
void Main( string [] args) { TcpUtils.Setup( "beetle" ); Program server = new
Program(); server.Open(8070); Console.WriteLine( "websocket start@8070" ); ProcessorCounter counters = new
ProcessorCounter(); counters.Open(); while
( true ) { ItemUsage[] items = counters.GetValues(); foreach
(ItemUsage item in
items) { Console.WriteLine( "{0}:{1}%" , item.Name, item.Percent); } JsonMessage message = new
JsonMessage(); message.type = "cpu useage" ; message.data = items; foreach
(TcpChannel channel in
server.Server.GetOnlines()) { channel.Send(message); } System.Threading.Thread.Sleep(995); } System.Threading.Thread.Sleep(-1); } protected
override void OnError( object
sender, ChannelErrorEventArgs e) { base .OnError(sender, e); Console.WriteLine(e.Exception.Message); } protected
override void OnConnected( object
sender, ChannelEventArgs e) { base .OnConnected(sender, e); Console.WriteLine( "{0} connected" , e.Channel.EndPoint); } protected
override void OnDisposed( object
sender, ChannelDisposedEventArgs e) { base .OnDisposed(sender, e); Console.WriteLine( "{0} disposed" , e.Channel.EndPoint); } } |
每秒获取一次CPU的使用情况,并把信息以json的方式发送给当前所有在线的连接.
完整代码:ProcessorsMonitor.rar (686.02 kb)
演示地址:http://html5.ikende.com/ProcessorsMonitor.htm (浏览器使用chrome或IE10)
via:http://www.cnblogs.com/smark/archive/2012/12/25/2833129.html