Task Replication in Unreliable Edge Networks

Edge networks provide ample resources for low-latency service recruitment, unlike remote resources in the Cloud. As such, smart devices and Internet of Things (IoT) nodes form a pool of Extreme Edge Devices (EED) that are within reach of Mist and Fog networks, providing significant advantages in latency, geographic cognizance, and reduced communication costs. EEDs are often recruited in Edge networks assuming they are reliable in their commitment to tasks. However, many EEDs may fail to fulfill their tasks because they operate under opportunistic approaches and are prone to intermittent connectivity. To ameliorate task failure, we aim to optimize task allocation under the assumption of failure. Additionally, we optimize CPU utilization to engage reliable EEDs, resorting to replication when needed to exceed a tunable reliability margin. We demonstrate the efficacy of our model in multiple scenarios and present future work in EED utilization.