397 research outputs found
Emerging Edge Computing Technologies for Distributed Internet of Things (IoT) Systems
The ever-increasing growth in the number of connected smart devices and
various Internet of Things (IoT) verticals is leading to a crucial challenge of
handling massive amount of raw data generated from distributed IoT systems and
providing real-time feedback to the end-users. Although existing
cloud-computing paradigm has an enormous amount of virtual computing power and
storage capacity, it is not suitable for latency-sensitive applications and
distributed systems due to the involved latency and its centralized mode of
operation. To this end, edge/fog computing has recently emerged as the next
generation of computing systems for extending cloud-computing functions to the
edges of the network. Despite several benefits of edge computing such as
geo-distribution, mobility support and location awareness, various
communication and computing related challenges need to be addressed in
realizing edge computing technologies for future IoT systems. In this regard,
this paper provides a holistic view on the current issues and effective
solutions by classifying the emerging technologies in regard to the joint
coordination of radio and computing resources, system optimization and
intelligent resource management. Furthermore, an optimization framework for
edge-IoT systems is proposed to enhance various performance metrics such as
throughput, delay, resource utilization and energy consumption. Finally, a
Machine Learning (ML) based case study is presented along with some numerical
results to illustrate the significance of edge computing.Comment: 16 pages, 4 figures, 2 tables, submitted to IEEE Wireless
Communications Magazin
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