AI-Driven QoS-Aware Scheduling for Serverless Video Analytics at the Edge

AI-Driven QoS-Aware Scheduling for Serverless Video Analytics at the Edge

Today, video analytics are becoming extremely popular due to the increasing need for extracting valuable information from videos available in public sharing services through camera-driven streams in IoT environments. To avoid data communication overheads, a common practice is to have computation clo...

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Bibliographic Details
Main Authors: Dimitrios Giagkos, Achilleas Tzenetopoulos, Dimosthenis Masouros, Sotirios Xydis, Francky Catthoor, Dimitrios Soudris
Format: Article
Language:English
Published: MDPI AG 2024-08-01
Series:Information
Subjects:
edge computing
serverless computing
deep reinforcement learning
IoT video processing
resource management
Online Access:https://www.mdpi.com/2078-2489/15/8/480

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https://www.mdpi.com/2078-2489/15/8/480

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