Task Allocation in Extreme Edge Computing for Complex IoT Services

The rise of 6G technology will enable various innovative applications to deliver transformative experiences and services with unprecedented speed, reliability, and interactivity. On one hand, the realization of such innovative applications relies on the processing of large volumes of data generated at the Extreme Edge of the network, requiring time-critical and resource-intensive processing. On the other hand, these applications require handling multi-modal data or inputs from several sensing data sources, and as a result, the resulting computing tasks encompass multiple subtasks that are crucial to service delivery. Conventional offloading schemes overlook the complexity of these applications, jeopardizing the task success rate and application QoS. In this work, we highlight the dire need for a computational offloading scheme that addresses the intricate nature of such applications and their computing tasks, and present a preliminary problem formulation to tackle these needs.