RESOURCE MANAGEMENT FOR ON-DEMAND MISSION-CRITICAL INTERNET OF THINGS APPLICATIONS
Discover an insightful and up-to-date treatment of resource management in Internet of Things technology
In Resource Management for On-Demand Mission-Critical Internet of Things -Applications, an expert team of engineers delivers an insightful analytical perspective on modeling and decision support for mission-critical Internet of Things applications. The authors dissect the complex Io T ecosystem and provide a cross-layer perspective on the design and operation of Io T, especially in the context of smart and connected communities.
The book offers an economic perspective on resource management in Io T systems with a particular emphasis on three main areas: spectrum management via reservation, allocation of cloud/fog resources to Io T applications, and resource provisioning to smart city service requests. It leverages theories from dynamic mechanism design, optimal control theory, and spatial point processes, providing an overview of integrated decision-making frameworks.
Finally, the authors discuss future directions and relevant problems on the economics of resource management from new perspectives, like security and resilience. Readers will also enjoy the inclusion of:
* A thorough introduction and overview of Io T applications in smart cities, mission critical Io T services and requirements, and key metrics and research challenges
* A comprehensive exploration of the allocation of spectrum resources to mission critical Io T applications, including the massive surge of Io T and spectrum scarcity problem
* Practical discussions of the provisioning of cloud/fog computing resources to Io T applications, including allocation policy
* In-depth examinations of resource provisioning to spatio-temporal service requests in smart cities
Perfect for engineers working on Internet of Things and cyber-physical systems, Resource Management for On-Demand Mission-Critical Internet of Things Applications is also an indispensable reference for graduate students, researchers, and professors with an interest in Io T resource management.
Über den Autor
Junaid Farooq is an Assistant Professor with the Department of Electrical and Computer Engineering at the University of Michigan-Dearborn. His research focus is on system level modeling, analysis, and the optimization of wireless communication networks.
Quanyan Zhu, Ph D, is Associate Professor with the Department of Electrical and Computer Engineering at New York University.
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