Robust & Low-Complexity Task Scheduling Algorithms for a Mobile Edge Computing System

With the advent of Mobile Edge Computing (MEC), the arriving tasks in an Internet of Things (IoT) network can be executed locally or at an MEC server. A Constrained Markov Decision Process (CMDP) formulation can capture the trade-off between computation time and power consumption. However, the optim...

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Veröffentlicht in:	IEEE transactions on green communications and networking Jg. 9; H. 3; S. 1340 - 1353
Hauptverfasser:	Roy, Arghyadip, Biswas, Nilanjan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.09.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	5G mobile communication Algorithms Complexity Constraints Delays Dynamic programming Edge computing Heuristic algorithms Internet of Things IoT Markov processes Mobile computing Mobile edge computing Power consumption Power demand Resource management robust MDP Robustness Scheduling algorithms Servers Task scheduling Wireless communication
ISSN:	2473-2400, 2473-2400
Online-Zugang:	Volltext
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