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The effect on application performance of opcode caching varies widely, depending on factors such as the inherent execution time of the PHP application and the percentage of source code actually executed on a given request, and whether additional optimization steps are performed.
Launched in 2001, ionCube PHP Accelerator (PHPA) was the first freely available PHP accelerator to compete with the commercial Zend Cache product. Created before ionCube Ltd. was founded and at a time when the performance of PHP was regarded as lackluster when compared to other popular web programming languages, [citation needed] PHPA showed that PHP can compete with other languages ...
It alerts the client to wait for a final response. The message consists only of the status line and optional header fields, and is terminated by an empty line. As the HTTP/1.0 standard did not define any 1xx status codes, servers must not [ note 1 ] send a 1xx response to an HTTP/1.0 compliant client except under experimental conditions.
Processor affinity can effectively reduce cache problems, but it does not reduce the persistent load-balancing problem. [2] Also note that processor affinity becomes more complicated in systems with non-uniform architectures. For example, a system with two dual-core hyper-threaded CPUs presents a challenge to a scheduling algorithm.
– If there is a M copy in a cache, the transaction is stopped and wait until the M cache updates the MM, then the transaction can continue and the data is read from MM. Both caches are set S – else the data is read from MM. If the "shared line" is "on" the cache is set S else E 2 – MESI "Intervention" from M and E (e.g. Pentium (R) II [14])
The Linux kernel serializes responses for requests to a single file descriptor, so only one thread or process is woken up. [2] For epoll() in version 4.5 of the Linux kernel, the EPOLLEXCLUSIVE flag was added. Thus several epoll sets (different threads or different processes) may wait on the same resource and only one set will be woken up.
The cache manifest file consists of three section headers. [7] Explicit section with the header CACHE. Online whitelist section with the header NETWORK. Fallback section with the header FALLBACK. Note: Example 1 and Example 2 above, do not indicate any section header and are therefore considered an explicit section by default.
Database caching is a process included in the design of computer applications which generate web pages on-demand (dynamically) by accessing backend databases.. When these applications are deployed on multi-tier environments that involve browser-based clients, web application servers and backend databases, [1] [2] middle-tier database caching is used to achieve high scalability and performance.