Mobile Big Data | A Roadmap from Models to Technologies

Georgios Skourletopoulos (u. a.)

ISBN 10: 3319679244 ISBN 13: 9783319679242

Published by Springer, 2017

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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.

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Bibliographic Details

Title: Mobile Big Data | A Roadmap from Models to ...
Publisher: Springer
Publication Date: 2017
Binding: Taschenbuch
Condition: Neu

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Mobile Big Data: A Roadmap from Models to Technologies (eng)

Skourletopoulos, Georgios

Published by Springer, 2017

ISBN 10: 3319679244 ISBN 13: 9783319679242

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Mobile Big Data

Skourletopoulos, Georgios|Mastorakis, George|Mavromoustakis, Constandinos X.|Dobre, Ciprian|Pallis, Evangelos

Published by Springer International Publishing, 2017

ISBN 10: 3319679244 ISBN 13: 9783319679242

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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 fro. Seller Inventory # 159446103

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Mobile Big Data

Georgios Skourletopoulos

Published by Springer, Springer Nov 2017, 2017

ISBN 10: 3319679244 ISBN 13: 9783319679242

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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 domainTargets methodologies designed to take mobile big data to the Cloud, and to enable processing real-time streaming of events on-the-moveDiscusses methods and practices to improve multisource big data collection techniques, as well as the integration of resource availability through the 3As (Anywhere, Anything, Anytime) paradigmCovers central issues related to big data from the perspective of mobility and engineeringSpringer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 360 pp. Englisch. Seller Inventory # 9783319679242

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Mobile Big Data

Georgios Skourletopoulos

Published by Springer International Publishing Nov 2017, 2017

ISBN 10: 3319679244 ISBN 13: 9783319679242

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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany

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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 360 pp. Englisch. Seller Inventory # 9783319679242

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Mobile Big Data : A Roadmap from Models to Technologies

Georgios Skourletopoulos

Published by Springer International Publishing, Springer International Publishing, 2017

ISBN 10: 3319679244 ISBN 13: 9783319679242

New Taschenbuch

Seller: AHA-BUCH GmbH, Einbeck, Germany

Seller rating 5 out of 5 stars

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Seller Inventory # 9783319679242

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