throughput.awk

Question

我编写了以下awk脚本来计算NS2.35中路由协议的平均吞吐量。我的示例代码如下所示。

BEGIN {
   recvdSize = 0
   startTime = 400
   stopTime = 0
}

{
         event = $1
         time = $2
         node_id = $3
         pkt_size = $8
         level = $4

# Store start time
if (level == "AGT" && event == "s" && pkt_size >= 512) {
if (time < startTime) {
         startTime = time
         }
   }

# Update total received packets' size and store packets arrival time
if (level == "AGT" && event == "r" && pkt_size >= 512) {
   if (time > stopTime) {
         stopTime = time
         }
   # Rip off the header
   #hdr_size = pkt_size % 512
   #pkt_size -= hdr_size
   # Store received packet's size
   recvdSize += pkt_size
   }
}

END {
   printf("Average Throughput[kbps] = %.2f\t\t  StartTime=%.2f\tStopTime=%.2f\n",(recvdSize/(stopTime-startTime))*(8/1000),startTime,stopTime)
}

现在我只想计算 CBR数据包（TCP）的吞吐量以及平均吞吐量并显示它。我需要在代码中添加哪些附加内容？

Answer 1

您可以尝试阅读ns2的其他默认吞吐量脚本：awk#perl#python__scripts-10.2015.tar.gz中有大约22个thr * .awk文件，有些perl脚本文件* .pl：$ ls | grep -i thr

链接https://drive.google.com/file/d/0B7S255p3kFXNOUIteTVSWjdzQU0/view?usp=sharing

包中的专用tcp脚本是calc_tcp_goodput.awk，show_tcp_con，show_tcp_con.awk。

Answer 2

throughput.awk

BEGIN {

JavaFX Application Thread

}

{

@Configuration
@EnableAsync
@EnableScheduling
@EnableCaching
// Component scanning for JavaFX Nodes
@ComponentScan("path.to.view.nodes")
public class MyConfiguration {

   // bean definitiions here
}

public class MyApplication extends Application {

    private ConfigurableApplicationContext configurableApplicationContext;

    @Autowired
    private RootPane rootPane;

    @Override
    public void init() throws Exception {
        SpringApplication application;
        application = new SpringApplication();
        application.getSources().add(MyConfiguration.class);
        application.setWebEnvironment(false);
        application.setShowBanner(false);
        application.setRegisterShutdownHook(true);
        configurableApplicationContext = application.run();
        ConfigurableListableBeanFactory beanFactory;
        beanFactory = configurableApplicationContext.getBeanFactory();
        beanFactory.registerSingleton(getClass().getSimpleName(), this);
        beanFactory.autowireBean(this);
    }

    @Override
    public void start(Stage primaryStage) throws Exception {
        primaryStage.setScene(new Scene(rootPane));
        primaryStage.centerOnScreen();
        primaryStage.show();
    }

    @Override
    public void stop() throws Exception {
        configurableApplicationContext.close();
    }

    public static void main(String... args) {
        Application.launch(MyApplication.class, args);
    }

}

@Component
public class RootPane extends BorderPane {

    @PostConstruct
    public void init() {
        setRight(new Button("Click me"));
    }

}

#Store start time

if（level ==“MAC”＆amp;＆amp; event ==“s”＆amp;＆amp; pkt_size＆gt; = 300）{

   recvdSize = 0

   startTime = 400

   stopTime = 0

＃更新总收到数据包的大小并存储数据包到达时间

if（level ==“MAC”＆amp;＆amp; event ==“r”＆amp;＆amp; pkt_size＆gt; = 300）{

         event = $1

         time = $2

         node_id = $3

         pkt_size = $8

         level = $4

}

结束{ 打印“+ =============================================== ======================== + \ n“个;

if (time < startTime) {

         startTime = time

         }

   }

打印“\ n + ============================================= ============================ + \ n“个;

}

执行命令：

awk -f throughput.awk out.tr（tracefile name）

使用awk脚本计算吞吐量

2 个答案:

throughput.awk