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The major subjects of the book cover modeling, analysis and
efficient management of information in Internet of Everything (IoE)
applications and architectures. As the first book of its kind, it
addresses the major new technological developments in the field and
will reflect current research trends, as well as industry needs. It
comprises of a good balance between theoretical and practical
issues, covering case studies, experience and evaluation reports
and best practices in utilizing IoE applications. It also provides
technical/scientific information about various aspects of IoE
technologies, ranging from basic concepts to research grade
material, including future directions.
As more and more of our data is stored remotely, accessing that
data wherever and whenever it is needed is a critical concern. More
concerning is managing the databanks and storage space necessary to
enable cloud systems. Resource Management of Mobile Cloud Computing
Networks and Environments reports on the latest advances in the
development of computationally intensive and cloud-based
applications. Covering a wide range of problems, solutions, and
perspectives, this book is a scholarly resource for specialists and
end-users alike making use of the latest cloud technologies.
This book gathers recent research work on emerging Artificial
Intelligence (AI) methods for processing and storing data generated
by cloud-based Internet of Things (IoT) infrastructures. Major
topics covered include the analysis and development of AI-powered
mechanisms in future IoT applications and architectures. Further,
the book addresses new technological developments, current research
trends, and industry needs. Presenting case studies, experience and
evaluation reports, and best practices in utilizing AI applications
in IoT networks, it strikes a good balance between theoretical and
practical issues. It also provides technical/scientific information
on various aspects of AI technologies, ranging from basic concepts
to research grade material, including future directions. The book
is intended for researchers, practitioners, engineers and
scientists involved in the design and development of protocols and
AI applications for IoT-related devices. As the book covers a wide
range of mobile applications and scenarios where IoT technologies
can be applied, it also offers an essential introduction to the
field.
This book gathers recent research works in emerging Artificial
Intelligence (AI) methods for the convergence of communication,
caching, control, and computing resources in cloud-based Internet
of Vehicles (IoV) infrastructures. In this context, the book's
major subjects cover the analysis and the development of AI-powered
mechanisms in future IoV applications and architectures. It
addresses the major new technological developments in the field and
reflects current research trends and industry needs. It comprises a
good balance between theoretical and practical issues, covering
case studies, experience and evaluation reports, and best practices
in utilizing AI applications in IoV networks. It also provides
technical/scientific information about various aspects of AI
technologies, ranging from basic concepts to research-grade
material, including future directions. This book is intended for
researchers, practitioners, engineers, and scientists involved in
designing and developing protocols and AI applications and services
for IoV-related devices.
The incredible growth in the development and use of wireless
communication technologies has led to research in both academia and
industry on artificial intelligence (AI) methods that enable
intelligent technologies, smarter services and applications,
business processes and social interactions to satisfy future
requirements. AI mechanisms are being exploited in smart
intelligent network applications to provide insights from collected
data by identifying patterns and allowing operational predictions
with higher accuracy in smaller time periods. The future of
AI-powered wireless networking infrastructures depends on finding
effective solutions to a number of technical challenges that such
paradigms introduce, including better intelligent sensor
capabilities, smarter big data analytics, automated remote data
management, as well as open and secure processes. This book
presents innovative research in emerging artificial intelligence
methods for the processing, storing and analysing of large date
sets generated by wireless communication infrastructures. It
addresses major new technological developments, reflects on
industry needs, current research trends and future directions. The
authors focus on the development of AI-powered mechanisms for
future wireless networking applications and architectures which
will lead to more performant, resilient and valuable ecosystems and
automated services. The book is aimed at researchers, engineers and
scientists involved in the design and development of protocols and
AI applications for wireless communication devices, and wireless
networking technologies.
This book reports on the latest advances in the design and
development of mobile computing systems and describes their
applications in the context of modeling, analysis and efficient
resource management. It explores challenges in mobile computing and
resource management paradigms, including research efforts and
approaches recently carried out in response to them and addresses
future open-ended issues. The book, which includes 26 rigorously
refereed chapters written by leading international researchers,
provides the readers with technical and scientific information
about various aspects of mobile computing, from basic concepts to
advanced findings and reports on the state-of-the-art in resource
management in such environments. Mainly intended as reference guide
for researchers and practitioners involved in the design,
development and applications of mobile computing systems and
seeking solutions to related issues, it also represents a useful
textbook for advanced undergraduate and graduate courses,
addressing special topic such as: mobile and ad-hoc wireless
networks; peer-to-peer systems for mobile computing; novel resource
management techniques in cognitive radio networks; and power
management in mobile computing systems.
The major subjects of the book cover modeling, analysis and
efficient management of information in Internet of Everything (IoE)
applications and architectures. As the first book of its kind, it
addresses the major new technological developments in the field and
will reflect current research trends, as well as industry needs. It
comprises of a good balance between theoretical and practical
issues, covering case studies, experience and evaluation reports
and best practices in utilizing IoE applications. It also provides
technical/scientific information about various aspects of IoE
technologies, ranging from basic concepts to research grade
material, including future directions.
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.
This book reports the latest advances on the design and development
of mobile computing systems, describing their applications in the
context of modeling, analysis and efficient resource management. It
explores the challenges on mobile computing and resource management
paradigms, including research efforts and approaches recently
carried out in response to them to address future open-ended
issues. The book includes 26 rigorously refereed chapters written
by leading international researchers, providing the readers with
technical and scientific information about various aspects of
mobile computing, from basic concepts to advanced findings,
reporting the state-of-the-art on resource management in such
environments. It is mainly intended as a reference guide for
researchers and practitioners involved in the design, development
and applications of mobile computing systems, seeking solutions to
related issues. It also represents a useful textbook for advanced
undergraduate and graduate courses, addressing special topics such
as: mobile and ad-hoc wireless networks; peer-to-peer systems for
mobile computing; novel resource management techniques in cognitive
radio networks; and power management in mobile computing systems.
This book gathers recent research works in emerging Artificial
Intelligence (AI) methods for the convergence of communication,
caching, control, and computing resources in cloud-based Internet
of Vehicles (IoV) infrastructures. In this context, the book's
major subjects cover the analysis and the development of AI-powered
mechanisms in future IoV applications and architectures. It
addresses the major new technological developments in the field and
reflects current research trends and industry needs. It comprises a
good balance between theoretical and practical issues, covering
case studies, experience and evaluation reports, and best practices
in utilizing AI applications in IoV networks. It also provides
technical/scientific information about various aspects of AI
technologies, ranging from basic concepts to research-grade
material, including future directions. This book is intended for
researchers, practitioners, engineers, and scientists involved in
designing and developing protocols and AI applications and services
for IoV-related devices.
This book gathers recent research work on emerging Artificial
Intelligence (AI) methods for processing and storing data generated
by cloud-based Internet of Things (IoT) infrastructures. Major
topics covered include the analysis and development of AI-powered
mechanisms in future IoT applications and architectures. Further,
the book addresses new technological developments, current research
trends, and industry needs. Presenting case studies, experience and
evaluation reports, and best practices in utilizing AI applications
in IoT networks, it strikes a good balance between theoretical and
practical issues. It also provides technical/scientific information
on various aspects of AI technologies, ranging from basic concepts
to research grade material, including future directions. The book
is intended for researchers, practitioners, engineers and
scientists involved in the design and development of protocols and
AI applications for IoT-related devices. As the book covers a wide
range of mobile applications and scenarios where IoT technologies
can be applied, it also offers an essential introduction to the
field.
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