Mobile Big Data: A Roadmap from Models to Technologies: 10 (Lecture Notes on Data Engineering and Communications Technologies, 10)

ISBN 10: 3319679244 / ISBN 13: 9783319679242

Published by Springer, 2017

About this Item

Most items will be dispatched the same or the next working day. A copy that has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Seller Inventory # wbs2297561559

Bibliographic Details

• Title: Mobile Big Data: A Roadmap from Models to Technologies: 10 (Lecture Notes on Data Engineering and Communications Technologies, 10)
• Publisher: Springer
• Publication Date: 2017
• Language: English
• ISBN 10: 3319679244
• ISBN 13: 9783319679242
• Binding: Soft cover
• Condition: Very Good

About this title

Synopsis

Provides a state-of-the-art reference guide, discussing the progress made, as well as outlining future directions for the theories, practices, standards, and strategies related to the mobile big data domain

Targets methodologies designed to take mobile big data to the Cloud, and to enable processing real-time streaming of events on-the-move

Discusses methods and practices to improve multisource big data collection techniques, as well as the integration of resource availability through the 3As (Anywhere, Anything, Anytime) paradigm

Covers central issues related to big data from the perspective of mobility and engineering

From the Back Cover

This book reports on the latest advances in mobile technologies for collecting, storing and processing mobile big data in connection with wireless communications. It presents novel approaches and applications in which mobile big data is being applied from an engineering standpoint and addresses future theoretical and practical challenges related to the big data field from a mobility perspective.

Further, it provides an overview of new methodologies designed to take mobile big data to the Cloud, enable the processing of real-time streaming events on-the-move and enhance the integration of resource availability through the ‘Anywhere, Anything, Anytime’ paradigm. By providing both academia and industry researchers and professionals with a timely snapshot of emerging mobile big data-centric systems and highlighting related pitfalls, as well as potential solutions, the book fills an important gap in the literature and fosters the further development in the area of mobile technologies for exploiting mobile big data.