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Energy Efficient Exact Matching for Flow Identification with Cuckoo Affinity Hashing

机译:使用杜鹃亲和力散列进行流识别的高能效精确匹配

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摘要

Energy efficiency has become an important design goal for networking equipment. Traditionally routers and switches have been designed to minimize peak power consumption but they operate most of the time with settings and traffic that is far from that peak. Therefore, many elements and functions of networking equipment are being redesigned to improve energy efficiency. A common functionality in networking is flow identification that is needed in many applications. Flow identification can be implemented with Content Addressable Memories (CAMs) or alternatively with several data structures. Among those, one efficient option is Cuckoo hashing that enables fast searches and high memory utilization at the cost of complicating the insertion procedure. In this letter, first the energy efficiency of exact matching using Cuckoo hashing is analyzed and then a technique is presented to improve the energy efficiency of Cuckoo hashing. The proposed scheme is evaluated using a traffic monitoring application and compared with the traditional Cuckoo hashing. The results show that significant energy savings can be obtained by using the proposed technique.
机译:能源效率已经成为网络设备的重要设计目标。传统上,路由器和交换机的设计目的是最大程度地降低峰值功耗,但它们大多数时间都在远离峰值的设置和流量下运行。因此,正在重新设计网络设备的许多元素和功能以提高能源效率。联网中的常见功能是许多应用程序所需的流识别。流识别可以通过内容可寻址内存(CAM)或几种数据结构来实现。其中一个有效的选择是Cuckoo散列,它可以以复杂的插入过程为代价实现快速搜索和较高的内存利用率。在这封信中,首先分析了使用杜鹃哈希的精确匹配的能量效率,然后提出了一种提高杜鹃哈希能量效率的技术。使用流量监控应用程序对提出的方案进行评估,并将其与传统的Cuckoo哈希进行比较。结果表明,使用所提出的技术可以节省大量能源。

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