Efficient deep-reinforcement learning aware resource allocation in SDN-enabled fog paradigm

These days, fog computing is an emerging paradigm that offers ubiquitous and omnipresent latency-aware services to delay applications. However, due to the mobility features of applications, the resource allocation to the workload of applications in distributed dynamic fog networks is becoming a chal...

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Veröffentlicht in:	Automated software engineering 2022-05, Vol.29 (1), p.20, Article 20
Hauptverfasser:	Lakhan, Abdullah, Mohammed, Mazin Abed, Obaid, Omar Ibrahim, Chakraborty, Chinmay, Abdulkareem, Karrar Hameed, Kadry, Seifedine
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial Intelligence Computer architecture Computer Science Deep learning Edge computing Energy consumption Energy costs Network latency Nodes Performance evaluation Resource allocation Software Engineering/Programming and Operating Systems Software-defined networking Special Issue on Software Defined Networks (SDNs) for Environmental Surveillance
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