AirDnD -- Asynchronous In-Range Dynamic and Distributed Network Orchestration Framework

TL;DR

AirDnD is a framework that enables dynamic, asynchronous, and distributed orchestration of computing tasks across edge devices and data centers, optimizing resource utilization and reducing data transfer in IoT and autonomous vehicle scenarios.

Contribution

It introduces a novel mesh network-based approach for resource sharing among distributed edge devices, enhancing efficiency in IoT and autonomous vehicle applications.

Findings

Effective resource sharing in distributed edge networks.

Reduced data transfer between nodes.

Improved computational efficiency in autonomous vehicle scenarios.

Abstract

The increasing usage of IoT devices has generated an extensive volume of data which resulted in the establishment of data centers with well-structured computing infrastructure. Reducing underutilized resources of such data centers can be achieved by monitoring the tasks and offloading them across various compute units. This approach can also be used in mini mobile data ponds generated by edge devices and smart vehicles. This research aims to improve and utilize the usage of computing resources in distributed edge devices by forming a dynamic mesh network. The nodes in the mesh network shall share their computing tasks with another node that possesses unused computing resources. This proposed method ensures the minimization of data transfer between entities. The proposed AirDnD vision will be applied to a practical scenario relevant to an autonomous vehicle that approaches an intersection commonly known as ``looking around the corner'' in related literature, collecting essential computational results from nearby vehicles to enhance its perception. The proposed solution consists of three models that transform growing amounts of geographically distributed edge devices into a living organism.