Incomputing, adistributed cache is an extension of the traditional concept ofcache used in a singlelocale. A distributed cache may span multiple servers so that it can grow in size and in transactional capacity. It is mainly used to store application data residing indatabase and websession data. The idea of distributed caching[1] has become feasible now becausemain memory has become very cheap andnetwork cards have become very fast, with 1 Gbit now standard everywhere and 10 Gbit gaining traction.[when?] Also, a distributed cache works well on lower cost machines usually employed forweb servers as opposed todatabase servers which require expensive hardware.[2]An emerging internet architecture known asInformation-centric networking (ICN) is one of the best examples of a distributed cache network. The ICN is a network level solution hence the existing distributed network cache management schemes are not well suited for ICN.[3] In thesupercomputer environment, distributed cache is typically implemented in the form ofburst buffer.
In distributed caching, each cache key is assigned to a specificshard (a.k.a partition). There are different sharding strategies:[4]
- Modulus sharding
- Range-based sharding
- Consistent hashing evenly distributes cache keys across shards, even if some of the shards crash or become unavailable.[5]
Examples
editSee also
editReferences
edit- ^Paul, S; Z Fei (1 February 2001). "Distributed caching with centralized control".Computer Communications.24 (2):256–268.CiteSeerX 10.1.1.38.1094.doi:10.1016/S0140-3664(00)00322-4.
- ^Khan, Iqbal."Distributed Caching on the Path To Scalability".MSDN (July 2009). Retrieved30 March 2012.
- ^Bilal, Muhammad; et al. (2017). "A Cache Management Scheme for Efficient Content Eviction and Replication in Cache Networks".IEEE Access.5:1692–1701.arXiv:1702.04078.Bibcode:2017arXiv170204078B.doi:10.1109/ACCESS.2017.2669344.S2CID 14517299.
- ^Foundations of Scalable Systems. O'Reilly Media. 2022.ISBN 9781098106034.
- ^Designing Distributed Systems Patterns and Paradigms for Scalable, Reliable Services. O'Reilly Media. 2018.ISBN 9781491983607.