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Consistent hashing is a special kind of hashing such that when a hash table is resized and consistent hashing is used, only keys need to be remapped on average, where is the number of keys, and is the number of slots. In contrast, in most traditional hash tables, a change in the number of array slots causes nearly all keys to be remapped. Consistent hashing achieves some of the same goals as Rendezvous hashing (also called HRW Hashing). The two techniques use different algorithms, and were devised independently and contemporaneously. ==History== The term "consistent hashing" was introduced by Karger ''et al.'' at MIT for use in distributed caching, the idea has now been expanded to other areas also. An academic paper from 1997 introduced the term "consistent hashing" as a way of distributing requests among a changing population of Web servers. Each slot is then represented by a node in a distributed system. The addition (joins) and removal (leaves/failures) of nodes only requires items to be re-shuffled when the number of slots/nodes change. Consistent hashing has also been used to reduce the impact of partial system failures in large Web applications as to allow for robust caches without incurring the system wide fallout of a failure. The consistent hashing concept also applies to the design of distributed hash tables (DHTs). DHTs use consistent hashing to partition a keyspace among a distributed set of nodes, and additionally provide an overlay network that connects nodes such that the node responsible for any key can be efficiently located. Rendezvous hashing, designed at the same time as consistent hashing, achieves the same goals using the very different Highest Random Weight (HRW) algorithm. 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「consistent hashing」の詳細全文を読む スポンサード リンク
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