EHGA: A Genetic Algorithm Based Approach for Scheduling Tasks on Distributed Edge-Cloud Infrastructures

Due to cloud computing's limitations, edge computing has emerged to address computation-intensive and time-sensitive applications. In edge computing, users can offload their tasks to edge servers. However, the edge servers' resources are limited, making task scheduling everything but easy....

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Veröffentlicht in:	International Conference on the Network of the Future (Online) S. 1 - 5
Hauptverfasser:	Mahjoubi, Ayeh, Grinnemo, Karl-Johan, Taheri, Javid
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 05.10.2022
Schlagworte:	Cloud computing Delays edge/cloud computing genetic algorithm Mixed integer linear programming problem solving time Processor scheduling Reliability Scheduling Servers system delay task offloading
ISSN:	2833-0072
Online-Zugang:	Volltext
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