CTLA:开式流量开关的压缩查表算法

Veeramani Sonai;Indira Bharathi;Muthaiah Uchimucthu;Sountharrajan S;Durga Prasad Bavirisetti
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引用次数: 0

摘要

随着开放式流量交换机流量表条目的增加,TCAM 内存的大小也会随之增加。查找 IP 地址的过程包括查找最长的前缀。为了跟上链路速度,转发表中的 IP 查找操作也需要加快速度。TCAM 的可扩展性和存储能力受到其高能耗和电路密度的限制。目前仅有的时间或空间高效改进算法是多项研究的主题。为了进一步提高性能,本研究侧重于时间和空间高效算法。为了在快速数据访问和高效存储之间取得平衡,本研究提出了压缩和快速查找机制相结合的方法,以满足开放流交换机对空间和速度的要求。随着数据被压缩,性能也随之提高,因为存储查找表所需的内存更少,搜索所需的位数也更少。拟议方法的查找复杂度为 $O(log\,(log\;n/2))$,平均空间减少了 61%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CTLA: Compressed Table Look up Algorithm for Open Flow Switch
The size of the TCAM memory grows as more entries are added to the flow table of Open Flow switch. The procedure of looking up an IP address involves finding the longest prefix. In order to keep up with the link speed, the IP lookup operation in the forwarding table should also need to be speed up. TCAM's scalability and storage are constrained by its high power consumption and circuit density. The only time- or space-efficient algorithms for improvement are the subject of several research studies. In order to boost performance even further, this study focuses on time and space efficient algorithms. To strike a balance between speedy data access and efficient storage, this study proposes a combination of compression and a quick look-up mechanism to satisfy the space and speed requirements of the Open Flow switch. As the data is compressed, performance improves because less memory is required to store the look-up table and fewer bits are required to search. The look up complexity of proposed approach is $O(log\,(log\;n/2))$ and average space reduction is 61%.
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CiteScore
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