Cosbench下载地址：
https://github.com/intel-cloud/cosbench/releases/download/v0.4.0.1/0.4.0.1.zip

Read并发大的情况会存在读异常直接退出，需要关闭MD5校验：

• stop-all.sh 停止 cosbench 进程(controller, drivers)
• 编辑 cosbench-start.sh 文件,找到java启动命令行参数, 增加"-Dcom.amazonaws.services.s3.disableGetObjectMD5Validation=true" 关闭S3的MD5校验功能
• start-all.sh 启动所有的cosbench processes.

进入目录，上传一个任务：
./cli.sh submit ../conf/bjf/cosbench.conf

界面：
http://{ip}:19088/controller

配置用例如下：
workflow下定义多个workstage，workstage之间是串行运行，workstage下的work并行运行。workers指定了并发数。

<?xml version="1.0" encoding="UTF-8" ?>  
<workload name="cosbench 64 driveer" description="64 drivers 10w ops">  

  <storage type="s3" config="accesskey={access-key};secretkey={secret-key};endpoint=http://{endpoint}" />  
  
  <workflow>  
    
    <workstage name="init">  
      <work type="init" workers="1" config="cprefix=cosbench;containers=r(1,1)" />  
    </workstage>  
  
    <workstage name="write">  
      <work name="write" workers="64" totalOps="100000">  
        <operation type="write" config="cprefix=cosbench;containers=r(1,1);objects=r(1,100000);sizes=c(1)MB" />  
      </work>  
    </workstage>  
      
    <workstage name="read">  
      <work name="read" workers="64" totalOps="100000">  
        <operation type="read" config="cprefix=cosbench;containers=r(1,1);objects=r(1,100000)" />  
      </work>  
    </workstage>    
  
    <workstage name="cleanup">  
      <work type="cleanup" workers="64" config="cprefix=cosbench;containers=r(1,1);objects=r(1,100000)" />  
    </workstage>  
      
    <workstage name="dispose">  
      <work type="dispose" workers="1" config="cprefix=cosbench;containers=r(1,1)" />  
    </workstage>  
      
  </workflow>  
  
</workload>