Document Type
Article
Publication Title
Handbook of Research on Big Data Storage and Visualization Techniques
Abstract
This chapter deals with a detailed discussion on the storage systems for data-intensive computing using Big Data. The chapter begins with a brief introduction about data-intensive computing and types of parallel processing approaches. It also highlights the points that display how data-intensive computing systems differ from other forms of computing. A discussion on the importance of Big Data computing is put forth. The current and future challenges of storage in genomics are discussed in detail. Also, storage and data management strategies are given. The chapter's focus is then on the software challenges for storage. Storage use cases are provided like DataDirect Networks, SDSC, etc. The list of storage tools and their details are provided. A small section discusses the sensor data storage system. Then a table is provided that shows the top 10 cloud storage systems for data-intensive computing using Big Data in the world. Top 500 Big Data storage servers statistics are also displayed effectively by the images from Top500 website.
First Page
33
Last Page
74
DOI
10.4018/978-1-5225-3142-5.ch002
Publication Date
2018
ISBN
9781522531425
Recommended Citation
Segall, Richard S. and Cook, Jeffrey S., "Overview of Big-Data-Intensive Storage and Its Technologies" (2018). Faculty Publications. 17.
https://arch.astate.edu/busn-isba-facpub/17
