Caching using Memcached in Open Source Searching. Execution Time and Throughput Improvement using Open Source Key-Value Caching Techniques - Memcached

      Аннотация: This book describes the execution time improvement by using Memcached - a key/value caching solution. Open source search is simply searching using open source technologies like Apache Solr, Apache Lucene, MySQL, Memcached or any other open source technology. Memcached is an open source, high performance, multithreaded, distributed key value object caching solution that is used for caching the objects, queries those results in speeding up the dynamic web application by elevating the database loads. Caching using Memcached in Open Source Searching results in faster web pages loads increases the throughput and improves the response times. Memcached delivers a performance boost for applications because it caches data and objects in memory to reduce the number of times an external data source must be read from disk. The results obtained after implementing, testing and using the Memcached has shown that caching using Memcached has reduced the load on the databases and improved the response times by more than 50% in compared to database response time. Therefore Memcached module increased the site performance and significantly improved the response times.

Ключевые слова: High Performance, Open source, Performance metric, Response time, Web server, memcached module, memcached server, modular memcached perl client, key value, user uploaded data, database response time, physical memory, cache miss, dynamic web application, database table, random access memory, key value store, hit rate, database load, caching solution, static table, hit ratio, site performance, memcached caching solution, improved response time, read request, calcification problem, uploaded data, distributed key value caching