Distributed cache

In computing, a distributed cache is an extension of the traditional concept of cache used in a single locale. 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 in database and web session data. The idea of distributed caching[1] has become feasible now because main memory has become very cheap and network cards have become very fast, with 1 Gbit now standard everywhere and 10 Gbit gaining traction. Also, a distributed cache works well on lower cost machines usually employed for web servers as opposed to database servers which require expensive hardware.[2] An emerging internet architecture known as Information-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 the supercomputer environment, distributed cache is typically implemented in the form of burst buffer.

Examples

gollark: AES-128. Apioform generation. Euler's totient function. Reversing a string. 2048 (game). 2048 (number). Parse strings to integers. Text RPG (or just a character generator). Draw a Sierpinski triangle textually (or other fractal thing). Abelian sandpile model. Fibonacci sequences. Digital signal processing which is on Rosetta code for some reason. Balanced ternary. Levenshtein distance.
gollark: I was going to use experimental gollarious esolang™ 0.3 but it would have been too obvious so I just did the algorithm. But this was also too obvious?
gollark: Yes, experience 12849127489174 congratulation.
gollark: Huh.
gollark: *Citrons* is on debian?

See also

References

  1. 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.
  2. Khan, Iqbal. "Distributed Caching On The Path To Scalability". MSDN (July 2009). Retrieved 30 March 2012.
  3. 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.
  4. "Distributed Cache for .Net (Open Source) | NCache".
  5. "Redis-compatible cache and datastore for Windows) | Memurai".
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