A job scheduling algorithm for delay and performance optimization in fog computing

Summary Due to an ever‐increasing number of Internet of Everything (IoE) devices, massive amounts of data are produced daily. Cloud computing offers storage, processing, and analysis services for handling of such large quantities of data. The increased latency and bandwidth consumption is not accept...

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Veröffentlicht in:	Concurrency and computation 2020-04, Vol.32 (7), p.n/a
Hauptverfasser:	Jamil, Bushra, Shojafar, Mohammad, Ahmed, Israr, Ullah, Atta, Munir, Kashif, Ijaz, Humaira
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Case studies Cloud computing Delay Electronic devices Energy consumption fog computing Internet Internet of Everything (IoE) job scheduling Optimization Performance evaluation Performance measurement Provisioning Resource scheduling Response time (computers) Schedules Scheduling sensors
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