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In computing, cache algorithms are optimizing instructions—or algorithms—that a computer program or a hardware-maintained structure can follow in order to manage a cache of information stored on the computer. When the cache is full, the algorithm must choose which items to discard to make room for the new ones. Due to the inherent caching capability of nodes in Information-centric networking ICN, the ICN can be viewed as a loosely connect network of caches, which has unique requirements of Caching policies. Unlike proxy servers, in Information-centric networking the cache is a network level solution. Therefore, it has rapidly changing cache states and higher request arrival rates; moreover, smaller cache sizes further impose different kind of requirements on the content eviction policies. In particular, eviction policies for Information-centric networking should be fast and lightweight. Various cache replication and eviction schemes for different Information-centric networking architectures and applications are proposed.
References
- ↑ 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). Retrieved 30 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.