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  • Format: PDF

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
…mehr

Produktbeschreibung
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


Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Rezensionen
"The content is very mathematical; some chapters are very much geared toward specialists, because of the amount of equations used. Overall, it is a good book on a variety of topics related to mobile big data. It will be useful for researchers in the field." (S. Srinivasan, Computing Reviews, May 31, 2019)