This book presents current progress on challenges related to Big
Data management by focusing on the particular challenges associated
with context-aware data-intensive applications and services. The
book is a state-of-the-art reference discussing progress made, as
well as prompting future directions on the theories, practices,
standards and strategies that are related to the emerging
computational technologies and their association with supporting
the Internet of Things advanced functioning for organizational
settings including both business and e-science. Apart from
inter-operable and inter-cooperative aspects, the book deals with a
notable opportunity namely, the current trend in which a
collectively shared and generated content is emerged from Internet
end-users. Specifically, the book presents advances on managing and
exploiting the vast size of data generated from within the smart
environment (i.e. smart cities) towards an integrated, collective
intelligence approach. The book also presents methods and practices
to improve large storage infrastructures in response to increasing
demands of the data intensive applications. The book contains 19
self-contained chapters that were very carefully selected based on
peer review by at least two expert and independent reviewers and is
organized into the three sections reflecting the general themes of
interest to the IoT and Big Data communities: Section I:
Foundations and Principles Section II: Advanced Models and
Architectures Section III: Advanced Applications and Future Trends
The book is intended for researchers interested in joining
interdisciplinary and transdisciplinary works in the areas of Smart
Environments, Internet of Things and various computational
technologies for the purpose of an integrated collective
computational intelligence approach into the Big Data era.
General
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