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The latency of a cache describes how long after requesting a desired item the cache can return that item when there is a hit. Faster replacement strategies typically track of less usage information—or, with a direct-mapped cache, no information—to reduce the time required to update the information.
The partial hydration approach comes with its own issues and compromises. It poses some interesting challenges for caching, and client-side navigation means it cannot be assumed that server-rendered HTML for inert parts of the application will be available without a full page load. [2]
Adaptive Replacement Cache (ARC) is a page replacement algorithm with better performance [1] than LRU (least recently used). This is accomplished by keeping track of both frequently used and recently used pages plus a recent eviction history for both.
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. In distributed caching, each cache key is assigned to a specific shard (a.k.a partition).
The term "consistent hashing" was introduced by David Karger et al. at MIT for use in distributed caching, particularly for the web. [4] This academic paper from 1997 in Symposium on Theory of Computing introduced the term "consistent hashing" as a way of distributing requests among a changing population of web servers. [5]
A forward cache is a cache outside the web server's network, e.g. in the client's web browser, in an ISP, or within a corporate network. [3] A network-aware forward cache only caches heavily accessed items. [4] A proxy server sitting between the client and web server can evaluate HTTP headers and choose whether to store web content.
Memcached (pronounced variously /mɛmkæʃˈdiː/ mem-cash-dee or /ˈmɛmkæʃt/ mem-cashed) is a general-purpose distributed memory-caching system. It is often used to speed up dynamic database-driven websites by caching data and objects in RAM to reduce the number of times an external data source (such as a database or API) must be read.
Cache prefetching can be accomplished either by hardware or by software. [3]Hardware based prefetching is typically accomplished by having a dedicated hardware mechanism in the processor that watches the stream of instructions or data being requested by the executing program, recognizes the next few elements that the program might need based on this stream and prefetches into the processor's ...