Mobile Big Data (eBook, PDF)
A Roadmap from Models to Technologies
Redaktion: Skourletopoulos, Georgios; Pallis, Evangelos; Dobre, Ciprian; Mavromoustakis, Constandinos X.; Mastorakis, George
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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 ...
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
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
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