Green Internet of Things Using Mobile Cloud Computing: Architecture, Applications, and Future Directions

Edge AI: A survey

“…Nascent commercial opportunities have been identified for mDCS and in proof of concept studies for MEC [49]. Edge Computing will be an enabling technology for future wireless systems when trying to meet challenging latency and data rate requirements of applications [34].…”

“…To run neural networks, recent developments in massively parallel GPUs have been applied. The proliferation of IoT-connected devices is largely responsible for the current era's unprecedented growth in data volume [34]. Now that we have the data and the devices required to implement AI models at the edge, we can start doing so in practically every facet of the industry, thanks to the proliferation of sensors, smart cameras, robotics, and other data-gathering tools [35].…”

“…Edge Computing projects and proposals are distributed across academic, industry and standardization activities and standardization initiatives have been active since 2009 [34]. The challenge for edge computing is to provide standardized means of access for users and novel service providers as well as an efficient interface to the cloud as shown in Fig.…”