Virtual Machines: Advances in Applications and Research
In this compilation, the authors abstract software from hardware by introducing a domain-specific virtual machine that provides an efficient implementation of computations related to radio signal processing in a variety of platforms.
Additionally, the advantages and disadvantages of solutions for the management of smart city sensing applications are explored, considering architectures, optimization models, and algorithms for service deployment.
In closing, recently proposed virtual machine placement approaches are reviewed and analyzed for the reduction of carbon emissions in different types of clouds.
Table of Contents
Chapter 1. A Radio Virtual Machine and Its Applications
(Vladimir Ivanov, PhD, Markus Mueck, PhD, and Seungwon Choi, PhD, Department of Aerospace Computer and Software Systems, State University of Aerospace Instrumentation, St. Petersburg, Russia, and others)
Chapter 2. Smart Cities in the Fog: Clearing the Vision of Innovative Sensing Applications
(Nicola Bicocchi, Claudia Canali and Riccardo Lancellotti, Department of Engineering “Enzo Ferrari”, University of Modena and Reggio Emilia, Modena and Reggio Emilia, Emilia-Romagna, Italy)
Chapter 3. Energy-Efficient Green Virtual Machine Placement Techniques: From Centralized to Distributed Clouds
(Ehsan Ahvar and Shohreh Ahvar, Lecturer at ESIEA Engineering School, Paris, France, and others)