Fog and Fogonomics

1Fog Computing and Fogonomics

Yang Yang¹, Jianwei Huang², Tao Zhang³, and Joe Weinman⁴

¹Shanghai Institute of Fog Computing Technology (SHIFT), ShanghaiTech University, Shanghai, China

²School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, China

³National Institute of Standards and Technology (NIST), Gaithersburg, MD, USA

⁴XFORMA LLC, Flanders, NJ, USA

As a new computing paradigm, fog computing serves as the bridge that connects centralized clouds and distributed edges of the network and plays the crucial role in managing and coordinating multitier computing resources at the cloud, in the network, at the edge, and on the things (devices). In other words, fog computing provides a new architecture that spans along the cloud‐to‐things continuum, thus effectively pooling dispersive computing resources at global, regional, local, and device levels to quickly meet various service requirements. Together with the edge, fog computing ensures timely data processing, situation analysis, and decision‐making at the locations close to where the data are generated and should be used. Together with the cloud, fog computing supports more intelligent applications and sophisticated services in different industrial verticals and scenarios, such as cross‐domain data analysis, pattern recognition, and behavior prediction. Some infrastructure challenges and constraints in communication bandwidth, network connectivity, and service latency can be successfully addressed ...