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Efficient Hashing Technique Based on Bloom Filter for High-Speed Network

机译:基于布隆过滤器的高速散列技术

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Hashing is an extensively used technique for packet-processing of High-Speed Network. Hashing provides a more efficient way for storing and looking up TCP sessions, achieving O(1),query, insert, and delete operations at low loads. However, with the rapid development of Network, we have to deal with packets from higher-speed as well as higher-load Network which means that it should be necessary to process more packets in constant time. In this case, traditional hashing scheme using a single hash function with chaining to deal with collisions cannot alleviate the situation of more frequent collisions caused by increased table occupancy and load. In this paper, we aim to seek what makes a more efficient Hashing Scheme from three aspects: Hash function, data storing structure and collision resolution policy. Also, we will survey much of the recent work in hashing scheme, paying particular attention to their performance in High-Speed Network and the difference in their performance when dealing with various situations. Besides, in this paper, we propose a Hashing-Scheme called PBS-CPE (Previous Bucket Store-Change Priority of Elements). Strictly speaking, PBS-CPE is a fast-querying method instead of a complete set of Hashing Scheme, however, PBS-CPE can fit in as part of any efficient Hashing Scheme just because of this.
机译:散列是用于高速网络的分组处理的广泛使用的技术。散列为存储和查找TCP会话提供了一种更有效的方法,可在低负载下实现O(1),查询,插入和删除操作。但是,随着网络的飞速发展,我们必须处理来自高速网络和高负载网络的数据包,这意味着有必要在恒定的时间内处理更多的数据包。在这种情况下,使用具有链接的单个散列函数来处理冲突的传统散列方案无法缓解表占用量和负载增加导致的更频繁冲突的情况。在本文中,我们旨在从三个方面寻求使哈希方案更有效的方案:哈希函数,数据存储结构和冲突解决策略。另外,我们将调查散列方案中的最新工作,特别注意它们在高速网络中的性能以及它们在处理各种情况时的性能差异。此外,在本文中,我们提出了一种称为PBS-CPE的哈希方案(元素的先前存储区存储更改优先级)。严格来说,PBS-CPE是一种快速查询方法,而不是完整的哈希方案集合,但是,正因为如此,PBS-CPE可以作为任何有效哈希方案的一部分。

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