ECMP下一跳选择算法

Jaeyoung Kim, Byungjun Ahm
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引用次数: 5

摘要

提出了一种基于等价多路径(ECMP)的下一跳选择算法,该算法可实现路由间的负载分担。所提出的素数模n (PMN)算法的主要思想是当一个数的倍数除以素数时,余数是均匀分布的。基于此特定属性,PMN将传入流分配给选定的下一跳。流的散列值除以多条路径的数量。如果有指向剩余部分的下一跳可用,则选择该下一跳转发数据包。但如果不是,则不超过余数的素数除以散列值,并使用该余数选择下一跳。当N为下一跳数且N = 8时,PMN的查找性能为最优的0(1),中断行为在0.14 ~ 0.54之间。PMN的干扰平均值为0.32。当N = 16时,破坏行为在0.07 ~ 0.61之间,破坏平均为0.26。最优中断平均值是0.16,其中N等于16。与其他决定下一跳的算法相比,与modulo-N算法一样,PMN算法的性能是最优的O(1),其破坏行为优于modulo-N算法和哈希阈值算法。但最高随机权值(HRW)在1/N时的破坏行为优于PMN。如果每个流在输入数据包流中具有相同的分布,则每个流的负载均衡几乎是好的
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Next-Hop Selection Algorithm over ECMP
A novel algorithm for next-hop selection over a set of equal cost multiple paths (ECMP) in a router is presented, which provides for load sharing among multiple routes. The main idea of proposed algorithm called prime number modulo-N (PMN) is that the remainders are distributed equally when the multiples of a number are divided by prime number. Based on this specific property, PMN assigns incoming flows to a next-hop selected. The hashed value of flow is divided by the number of multiple paths. If a next-hop pointed the remainder is available, this next-hop selected to forward packet. But if not, prime number not exceeding the remainder divides the hashed value and a next-hop is selected using this remainder. The disruption characteristic is remarkably improved using prime number division scheme The lookup performance of PMN is an optimal O(1) and disruptive behavior is between 0.14 and 0.54 in case N is the number of next-hops and N is equal to eight. And the disruption average of PMN is 0.32. In case N is equal to sixteen, disruptive behavior is between 0.07 and 0.61 and the disruption average is 0.26. The optimal disruption average is 0.16 where N is equal to sixteen. As compared with other algorithm decided which next-hop to use, the performance of PMN like modulo-N is an optimal O(1), disruptive behavior of PMN is better than that of modulo-N and that of hash-threshold algorithm. But highest random weight (HRW)'s disruptive behavior with 1/N is better than that of PMN. Load balancing per flow is nearly good if each flow has the same distribution in input packet streams
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