Currently, an efficient interplay of the different computing and storage capabilities of Fog/Edge networks and IoT sensor devices is a fundamental challenge that needs to be overcome in order to give rise to the highly-demanded integrated services. In spite of the advances in the separate areas of Fog/Edge Networks (typically associated with Cloud infrastructures) and IoT sensor devices, research in the interplay between these areas is still in its initial stages, and we have a long way to go to achieve their global management and harnessing. Particularly, the incorporation and design of intelligent strategies in the management, analysis, and use of the interconnection and planning of networks by Soft-Computing, Big Data or Machine Learning must be regarded as especially important for a deep transformation of and advancement in current associated technologies. The objective of this Special Issue is to support the study, analysis, and implementation of diverse enabling advances in the field of Fog/Edge networks and IoT sensor devices and their interconnection, such as the improvement of virtualization of applications and microservices in IoT sensor devices and Fog/Edge systems, the compatible integration of containers with the main function and performance of containers in IoT sensor devices and Fog/Edge equipment, the security in Fog/Edge and IoT device transactions with Blockchain technology, the improvement of lightweight virtualization systems for deployment in low-performance nodes, such as sensor devices of Fog/Edge networks and IoT or end users, energy reduction in the different layers of a Fog/Edge and IoT network through knowledge-based strategies, accelerating workflow processing in Fog systems, distributed data storage and Big Data tools, intelligent scheduling for container allocation, etc.
Topics to be covered include but are not limited to the following:
IoT sensor devices
Fog/Edge and IoT Networks Interplay
Content delivery networks
Energy consumption in computing distributed networks
Latency-aware application in distributed networks
Dr. Rocío Pérez de Prado