INTELLIGENT IOT FOR THE DIGITAL WORLD
DISCOVER HOW THE INTELLIGENT INTERNET OF THINGS WILL CHANGE THE INFORMATION AND COMMUNICATION TECHNOLOGY INDUSTRY IN THE NEXT DECADE
In the digital world, most data and Internet of Things (Io T) services need to be efficiently processed and executed by intelligent algorithms using local or regional computing resources, thus greatly saving and reducing communication bandwidth, end-to-end service delay, long-distance data transmissions, and potential privacy breaches. This book proposes a pyramid model, where data, computing and algorithm jointly constitute the triangular base to support a variety of user-centric intelligent Io T services at the spire by using different kinds of smart terminals or devices.
This book provides a state-of-the-art review of intelligent Io T technologies and applications, discusses the key challenges and opportunities facing the digital world, and answers the following five critical questions:
* What is the most feasible network architecture to effectively provide sufficient resources anywhere anytime for intelligent Io T application scenarios?
* How do we efficiently discover, allocate and manage computing, communication and caching resources in heterogeneous networks across multiple domains and operators?
* How do we agilely achieve adaptive service orchestration and reliable service provisioning to meet dynamic user requirements in real time?
* How do we effectively protect data privacy in Io T applications, where Io T devices and edge/fog computing nodes only have limited resources and capabilities?
* How do we continuously guarantee and maintain the synchronization and reliability of wide-area Io T systems and applications?
Written for professionals working in 5G/Io T technology development, service management and big data analytics, this book offers an overview of intelligent Io T service architecture, key technologies, important applications and future technological trends.
Giới thiệu về tác giả
YANG YANG, Ph D, IEEE Fellow, is a Professor with Shanghai Tech University and an Adjunct Professor with Peng Cheng Laboratory, China.
XU CHEN, Ph D, IEEE Senior Member, is a Professor with Sun Yat-sen University, China.
RUI TAN, Ph D, IEEE Senior Member, is an Associate Professor with Nanyang Technological University, Singapore.
YONG XIAO, Ph D, IEEE Senior Member, is a Professor with Huazhong University of Science and Technology, China.
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