An optimization framework for task allocation in the edge/hub/cloud paradigm

With the advent of the Internet of Things (IoT), novel critical applications have emerged that leverage the edge/hub/cloud paradigm, which diverges from the conventional edge computing perspective. A growing number of such applications require a streamlined architecture for their effective execution...

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Bibliographic Details

Published in:	Future generation computer systems Vol. 155; pp. 354 - 366
Main Authors:	Kouloumpris, Andreas, Stavrinides, Georgios L., Michael, Maria K., Theocharides, Theocharis
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.06.2024
Subjects:	Binary integer linear programming Edge/hub/cloud continuum Energy optimization Latency optimization Task allocation Task flow graph Edge/hub/cloud continuum Latency optimization Binary integer linear programming Task flow graph Task allocation Energy optimization
ISSN:	0167-739X, 1872-7115
Online Access:	Get full text
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