Fog Computing

Prof. Dr. Zaigham Mahmood is a Senior Technology Consultant at Debesis Education UK and a Professor at the Shijiazhuang Tiedao University in Hebei, China. He also holds positions as Foreign Professor at NUST and IIU in Islamabad, Pakistan. He has previously served as a Reader (Associate Professor) at the University of Derby, UK, and Professor Extraordinaire at the North West University Potchefstroom, South Africa. Among his many publications are the Springer titles Smart Cities, Connected Environments for the Internet of Things, Software Project Management for Distributed Computing, Requirements Engineering for Service and Cloud Computing, Connectivity Frameworks for Smart Devices, Data Science and Big Data Computing, Cloud Computing: Challenges, Limitations and R&D Solutions, Continued Rise of the Cloud, Cloud Computing: Methods and Practical Approaches, Software Engineering Frameworks for the Cloud Computing Paradigm, and Cloud Computing for Enterprise Architectures.

PART I: Concepts and Principles.- Fog Computing: Concepts, Principles and Related Paradigms.- Fog Computing in the IoT Environment: Principles, Features and Models.- Dichotomy of Fog Computing in the Realm of Cloud Computing: Exploring the Emerging Dimensions.- Fog Computing in a Developing World Context: Jumping on the Bandwagon.- PART II: Frameworks and Technologies.- Analyzing IoT, Fog and Cloud Environments using Real Sensor Data.- Performance Enhancement of Fog Computing Using SDN and NFV Technologies.- Mechanisms Towards Enhanced Quality of Experience (QoE) in Fog Computing Environments.- Specifying Software Services for Fog Computing Architectures Using Recursive Model Transformations.- A Data Utility Model for Data Intensive Applications in Fog Computing Environments.- PART III: Advanced Topics and Future Directions.- Context-Aware Intelligent Systems for Fog Computing Environments for Cyber-Threat Intelligence.- SEF-SCC: Software Engineering Framework for Service and Cloud Computing.- Data and Computation Movement in Fog Environments: the DITAS Approach.- Towards Edge-Based Caching in Software-Defined Heterogeneous Vehicular Networks.