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What is Memcached

Chapter 14
Handbook of Research on Cloud Infrastructures for Big Data Analytics
Memcached is In-Memory key-value storage technique for small chunks of arbitrary data such as strings, objects resulting from database calls, API calls or page rendering etc. are being widely used. In 2009 Facebook used a total of 150 TB of DRAM in memcached and other caches for a database containing 200 TB of disk storage. Major Web search engines have also started keeping their search indexes entirely in DRAM.
Published in Chapter:
Significance of In-Memory Computing for Real-Time Big Data Analytics
Ganesh Chandra Deka (Ministry of Labour and Employment, India)
Copyright: © 2014 |Pages: 18
DOI: 10.4018/978-1-4666-5864-6.ch014
Abstract
Cloud computing provides online access of users’ data anytime, anywhere, any application, and any device. Due to the slower read/write operation of conventional disk resident databases, they are incapable of meeting the real-time, Online Transaction Processing (OLTP) requirements of cloud-based application, specifically e-Commerce application. Since In-Memory database store the database in RAM, In-Memory databases drastically reduce the read/write times leading to high throughput of a cloud-based OLTP systems. This chapter discusses In-Memory real time analytics.
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