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首页> 外文期刊>IEEE Transactions on Parallel and Distributed Systems >A Distributed Throttling Approach for Handling High Bandwidth Aggregates
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A Distributed Throttling Approach for Handling High Bandwidth Aggregates

机译：一种处理高带宽聚合的分布式节流方法

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摘要

Public-access networks need to handle persistent congestion and overload caused by high bandwidth aggregates that may occur during times of flooding-based DDoS attacks or flash crowds. The often unpredictable nature of these two activities can severely degrade server performance. Legitimate user requests also suffer considerably when traffic from many different sources aggregates inside the network and causes congestion. This paper studies a family of algorithms that "proactively驴 protect a server from overload by installing rate throttles in a set of upstream routers. Based on an optimal control setting, we propose algorithms that achieve throttling in a distributed and fair manner by taking important performance metrics into consideration, such as minimizing overall load variations. Using ns-2 simulations, we show that our proposed algorithms 1) are highly adaptive by avoiding unnecessary parameter configuration, 2) provide max-min fairness for any number of throttling routers, 3) respond very quickly to network changes, 4) are extremely robust against extrinsic factors beyond the system control, and 5) are stable under given delay bounds.
机译：公共访问网络需要处理由高带宽聚合引起的持续性拥塞和过载，而高带宽聚合可能会在基于泛洪的DDoS攻击或闪存人群中发生。这两种活动通常无法预测的性质会严重降低服务器性能。当来自许多不同来源的流量在网络内部聚集并导致拥塞时，合法的用户请求也将遭受重大损失。本文研究了一系列算法，“通过在一组上游路由器中安装速率调节器来主动保护服务器免受过载的影响。基于最佳控制设置，我们提出了一种算法，该算法以重要的性能实现了分布式公平的调节使用ns-2仿真，我们表明我们提出的算法1）通过避免不必要的参数配置而具有高度自适应性； 2）为任意数量的节流路由器提供了最大-最小公平性； 3）对网络变化的响应非常快； 4）对超出系统控制范围的外部因素非常强大，并且5）在给定的延迟范围内稳定。

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