Mobile Big Data

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

Inhalt
Part I - Introduction To Mobile Big Data Paradigm.- Big Data Analytics: Applications, Prospects And Challenges.- Levering Mobile Cloud Computing For Mobile Big Data Analytics.- Game Theoretic Approaches In Mobile Cloud Computing Systems For Big Data Applications: A Systematic Literature Review.- Part II - Architectures, Applications And Services For Mobile Big Data.-Evidence-Aware Mobile Cloud Architectures.- Context-Awareness In Location Based Services In The Big Data Era.- Mobile Big Data In Vehicular Networks: The Road To Internet Of Vehicles.- Part III - Data Management For Mobile Big Data.-Mobile Distributed Complex Event Processing - Ubi Sumus? Quo Vadimus?.-Electromagnetic Interference And Discontinuity Effects Of Interconnections On Big Data Performance Of Integrated Circuits.- Evaluating Decision Analytics From Mobile Big Data Using Rough Set Based Ant Colony.- Energy-Aware Issues For Handling Big Data In Mobile Cloud Computing.- Part IV - Industrial Practices Of Mobile BigData-Driven Models.- Big Data A New Technology Trend And Factors Affecting The Implementation Of Big Data In Australian Industries.- Extending The SANA Mobile Healthcare Platform With Features Providing ECG Analysis.-Social Networking In Higher Education In India.