CPU Monitoring and Throttling in IIS 6

IIS CPU与带宽智能调控
本文介绍了一种在IIS中实现基于CPU使用情况智能调节网站带宽的方法。通过启用应用池的CPU监控并结合自定义脚本,可以自动降低高负载站点的带宽限制,有效防止个别网站占用过多资源。

You can enable some basic CPU monitoring in IIS, but the downside is you have very few options if a given site takes up too much CPU. You can either a) record something in the event log, or b) have the site shut down. Step a) doesn't prevent the haywire site from continuing to hog the CPU, yet step b) is too drastic.

What we'd really like is a way to throttle a site based on CPU, similar to IIS bandwidth throttling. Thankfully, there's a general way to accomplish this:

  1. Enable CPU monitoring for each app pool (go with 85% or less) and indicate that you want an event log message ("No action"), not a shutdown.
  2. Enable bandwidth throttling for your sites and choose a high default value.
  3. Write a script and schedule it to run every 5 minutes. This script should:
    • Scan the event log and look for messages indicating an app pool has surpassed its CPU limit. It should only consider messages that were recorded since the script was last run.
    • determine which sites correspond to that app pool.
    • lower the bandwidth throttle of each of those sites to some value, maybe 75% of its current throttle setting or 90% of its currently used bandwidth.
    • send an email notification.
    • repeat the above for any other offending app pools.
    • Record the time it started running so that next time it only looks for newer event log messages.
  4. Write a second script that resets the bandwidth throttle values of all sites to their original high values. Run this script once a day during low traffic, e.g. 3am.

Now, any time a site starts taking up too much CPU, your script should automatically throttle its bandwidth down. If that site continues to consume CPU, the script will throttle its bandwidth down further. You could get fancy and keep track of which sites are behaving very badly (i.e. take up too much CPU regardless of bandwidth throttling) and perform some other action (send an email, restart that web site, etc.).

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内容概要:本文围绕“基于主从博弈的售电商多元零售套餐设计与多级市场购电策略”展开,结合Matlab代码实现,提出了一种适用于电力市场化环境下的售电商优化决策模型。该模型采用主从博弈(Stackelberg Game)理论构建售电商与用户之间的互动关系,售电商作为领导者制定电价套餐策略,用户作为跟随者响应电价并调整用电行为。同时,模型综合考虑售电商在多级电力市场(如日前市场、实时市场)中的【顶级EI复现】基于主从博弈的售电商多元零售套餐设计与多级市场购电策略(Matlab代码实现)购电组合优化,兼顾成本最小化与收益最大化,并引入不确定性因素(如负荷波动、可再生能源出力变化)进行鲁棒或随机优化处理。文中提供了完整的Matlab仿真代码,涵盖博弈建模、优化求解(可能结合YALMIP+CPLEX/Gurobi等工具)、结果可视化等环节,具有较强的可复现性和工程应用价值。; 适合人群:具备一定电力系统基础知识、博弈论初步认知和Matlab编程能力的研究生、科研人员及电力市场从业人员,尤其适合从事电力市场运营、需求响应、售电策略研究的相关人员。; 使用场景及目标:① 掌握主从博弈在电力市场中的建模方法;② 学习售电商如何设计差异化零售套餐以引导用户用电行为;③ 实现多级市场购电成本与风险的协同优化;④ 借助Matlab代码快速复现顶级EI期刊论文成果,支撑科研项目或实际系统开发。; 阅读建议:建议读者结合提供的网盘资源下载完整代码与案例数据,按照文档目录顺序逐步学习,重点关注博弈模型的数学表达与Matlab实现逻辑,同时尝试对目标函数或约束条件进行扩展改进,以深化理解并提升科研创新能力。
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