AirDnD-Asynchronous In-Range Dynamic and Distributed Network Orchestration Framework
Paper i proceeding, 2023

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.

Författare

Malsha Ashani Mahawatta Dona

Göteborgs universitet

Christian Berger

Göteborgs universitet

Yinan Yu

Chalmers, Data- och informationsteknik, Funktionell programmering

Proceedings - International Conference on Distributed Computing Systems

Vol. 2023-July 953-954
9798350339864 (ISBN)

43rd IEEE International Conference on Distributed Computing Systems, ICDCS 2023
Hong Kong, China,

Ämneskategorier

Datavetenskap (datalogi)

Datorsystem

DOI

10.1109/ICDCS57875.2023.00108

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Senast uppdaterat

2024-01-03