An Efficient Cache Grouping Strategy for Multinode Cache Networks
Shiroma Takayuki, Takuma Nakajima, Kouta Nojima, Masato Yoshimi, Tsutomu Yoshinaga
Abstract
Shiroma Takayuki, Takuma Nakajima, Kouta Nojima, Masato Yoshimi, Tsutomu Yoshinaga
Abstract
Popularizations of Video-On-Demand (VOD) services cause explosive and continuous growth of the Internet traffic. Web cache servers are widely utilized fot reducing such VOD traffic. However, ordinary cache strategies such as LRU often degrade cache efficiency of a multi-node cache network as popular contents are cached on all servers that squeezes the total amount of cache capacity. This paper proposes a novel strategy called Cache Grouping to improve cache efficiency in the multi-node cache network. The Cache Grouping organizes multiple web cache servers into a single cache server to increase virtual cache capacity and diversity of stored contents. Compared to a conventional cache strategy, the Cache Grouping reduces maximum 59% of web server transmissions and improves 20% of download time to process all requests while maintaining a total amount of transmissions.
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Popularizations of Video-On-Demand (VOD) services cause explosive and continuous growth of the Internet traffic. Web cache servers are widely utilized fot reducing such VOD traffic. However, ordinary cache strategies such as LRU often degrade cache efficiency of a multi-node cache network as popular contents are cached on all servers that squeezes the total amount of cache capacity. This paper proposes a novel strategy called Cache Grouping to improve cache efficiency in the multi-node cache network. The Cache Grouping organizes multiple web cache servers into a single cache server to increase virtual cache capacity and diversity of stored contents. Compared to a conventional cache strategy, the Cache Grouping reduces maximum 59% of web server transmissions and improves 20% of download time to process all requests while maintaining a total amount of transmissions.
Key concepts: Cache, Cache invalidation, Page cache, Cache pollution, Cache algorithms, Computer science, Cache coloring, Smart Cache