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AI Overview: Web caching is a technique used to temporarily store frequently accessed web data, enhancing retrieval speeds and overall performance. It involves using proxy servers like Squid, which store copies of web content to reduce the load on web servers and decrease loading times for users. Caches can operate using various algorithms to manage stored data, ensuring efficiency while maintaining coherence across multiple caches.
Cache (computing)
The Cache (computing) article discusses various aspects of caching in computer systems, detailing its purpose, types, and implementations to enhance data retrieval speeds and system performance.
Caching in Computer Science
Caching refers to the temporary storage of data that is frequently accessed to speed up retrieval times. It involves storing copies of data in a fast-access medium to avoid the slower process of fetching from the original data source. Caches operate using various strategies, such as Least Recently Used (LRU) for replacing old data, and can be found in CPUs, web browsers, and disk systems. Caching policies also address writing strategies to ensure that updated data is eventually saved to the original storage, while maintaining the coherence of multiple caches across different systems.
Cache (computing)
Cache in computing refers to a hardware or software component that stores data so that future requests for that data can be served faster. Caches are typically used to speed up data retrieval and reduce latency by storing frequently accessed information closer to the CPU or application.
Page Cache in Operating Systems
A page cache or disk cache is a memory buffer used by operating systems that utilize paging to enhance efficiency by caching file data as pages rather than as physical disk blocks. This technique is employed by systems like Solaris, Linux, and Windows NT, 2000, and XP, and is referred to as Unified Virtual Memory.
Cache Algorithm Overview
A cache algorithm is a method to manage data storage in a cache. It determines which item to remove when the cache is full, balancing hit rate (frequency of cache hits) and latency (time to retrieve cached items). Key algorithms include Least Recently Used (LRU), Most Recently Used (MRU), Pseudo-LRU, Least Frequently Used (LFU), Adaptive Replacement Cache (ARC), and multi-queue methods. Challenges include handling items with different costs, sizes, and expiration. Cache coherency algorithms are used in scenarios with multiple caches for the same data.
Cache Memory
This page redirects to the topic of cache memory in computing, which refers to a small-sized type of volatile computer memory that provides high-speed data access to a processor and stores frequently used program instructions and data.
CPU Caches
CPU caches are small, high-speed storage locations within a computer's CPU that temporarily hold frequently accessed data and instructions, allowing for faster access times compared to regular RAM. They improve overall system performance by reducing latency and minimizing the time the CPU spends waiting for data retrieval.
Cache Coherence
The page redirects to the topic of cache coherence, which refers to the consistency of data stored in multiple cache memories in a computing environment.
Squid Cache
Squid cache, commonly known as Squid, is a proxy server primarily used to enhance the speed of web servers. It primarily operates with HTTP and FTP protocols, while also supporting SSL, TLS, and HTTPS. Developed over the years by contributors from the University of California, San Diego, Squid is designed for Linux systems but can also run on Windows via Cygwin. It is distributed under the GNU General Public License.
Purge Tab Gadget
This Gadget adds a 'Purge' tab to the top of the page, allowing users to easily purge the cache of the page.