A Solid-State Drive (SSD) is a data storage device that emulates a hard disk drive (HDD). NAND Flash SSD’s are essentially arrays of flash memory devices which include a controller that electrically and mechanically emulate and are software compatible with magnetic HDD’s. In an unpowered state, NAND flash can retain memory for seven to 10 years. The features of SDD are: 1) No Moving parts; 2) Generate less heat with no noise; 3) Lower power consumption than traditional HDDs; 3) Zero rotational latency-Faster than HDD; and 4) Durability-Most suitable for high shock and vibration environments. Less susceptible to damage from environmental conditions. NAND flash development road maps show flash circuitry is expected to be only 6.5nm in size. At that time, read/write latency is expected to double in Multilevel Cell (MLC) flash and increase more than 2.5 times in Triple-Level Cell (TLC) flash. NAND Flash-based solid state drives (SSDs) have made inroads as data storage for Web sites, data centers and even some embedded applications. Since the SSD does not have mechanical parts, they can outperform traditional hard disks for data access. Storage on an SSD eliminates physical disk I/O, resulting in better responsiveness. An IMDS boosted database write performance by 420 times. The Semiconductor Industry Association has estimated the annual sales of worldwide semiconductor devices at US $300 billion. The Asia / Pacific region will largest market amounting to 55% of sales. The sales in America will be (18%), Japan (15%) and Europe (12%). The driving force for the higher growth of the semiconductor industry in coming years will be the proliferation of consumer electronic gadgets specifically tablets PCs and Smartphone (Semiconductor and Other Electronic Component Manufacturing, First Research, Inc., January 14, 2013, http://www.marketresearch.com/First-Research-Inc-v3470/Semiconductor-Electronic-Component-Manufacturing-7306997/ ).
Published in Chapter:
Significance of In-Memory Computing for Real-Time Big Data Analytics
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.