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Edge Computing Resource Allocation for Dynamic Networks: The DRUID-NET Vision and Perspective
2020
Zenodo
The potential offered by the abundance of sensors, actuators and communications in the IoT era is hindered by the limited computational capacity of local nodes. Several key challenges should be addressed to optimally and jointly exploit the network, computing, and storage resources, guaranteeing at the same time feasibility for time-critical and mission-critical tasks. We propose the DRUID-NET framework to take upon these challenges by dynamically distributing resources when the demand is
doi:10.5281/zenodo.5958132
fatcat:ag46ygtlejfxfn7pnxncuite3a