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Fog Computing is a distributed computing environment that extends the Cloud Computing paradigm to fully support the Internet of Things (IoT) vision. It aims to push the intelligence, processing and storage of data closer to the Edge of the network to provide computer-related services more immediately and near to the interconnected smart things that form part of the IoT. For this reason, Fog Computing is sometimes also referred to as Edge Computing. The two terms are often used interchangeably however, there are subtle differences. Fog Computing market is currently valued at $22.3 million in 2018 it is expected to expand at an explosive rate to grow to around $205 million over the next five years. With such high level of connectivity of smart devices, Fog Computing appears to be the next big thing for the IoT vision.
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
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
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
Toward Edge-based Caching in Software-defined Heterogeneous Vehicular Networks