Big Data-Enabled Internet of Things / Muhammad Usman Shahid Khan; Samee U. Khan;Albert Y. Zomaya [Eds].

Format:

Book

Contributor:

Shahid Khan, Muhammad Usman, editor.

Khan, Samee U., editor.

Zomaya, Albert Y., editor.

Series:

Computing.

Computing

Language:

English

Subjects (All):

Analysis.

Information storage and retrieval systems.

Internet.

Physical Description:

1 online resource (492 pages).

Place of Publication:

Stevenage : IET, 2019.

System Details:

text file

Summary:

Since both IoT and Big Data have a lot of overlap, it is an ideal time to present the recent advances which are taking place at the intersections of both these fields to identify future trends. The book covers the important aspects of Big Data-enabled IoT. The main focus of the book is on the analytical techniques for handling the huge amount of data generated by the IoT. The book is oriented toward those professionals and researchers interested in both of these booming fields. The topics covered in the book will be of interest to computing researchers, practitioners, engineers, and Information Technology professionals working in the highly dynamic field of Big Data-enabled IoT. The book can be viewed as an introduction to the area, as it cover the most important issues, presenting applied research works. The book identifies and shows the research challenges that are yet to be solved. Thus, it can also be used by researchers starting their work in the area.

ISBN:

9781785616372

Access Restriction:

Restricted for use by site license.