PRESENTATION OF A REAL-TIME SOLUTION FOR THE OPTIMAL RESOURCES ASSIGNMENT IN TRACKING THE BRAIN SIGNALS BASED ON FOG ARCHITECTURE
Publish place: Eighth international Conference on Knowledge and Technology of Mechanical, Electrical Engineering and Computer Of Iran
Publish Year: 1401
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
DMECONF08_033
تاریخ نمایه سازی: 31 فروردین 1402
Abstract:
Internet of Things has increased the amount of generated data in the computer networks. Fog computingaims to curb such amounts of data. Timing in distributed environments is a NP-hard problem. In thispaper, timing in fog has been done through Bayesian classification. Bayesian classification has beenapplied to obtain processing requirements of tasks. After classification, virtual machines will be createdaccording to each class. iFogsim simulator has been used to check the performance of the proposedmethod in the fog environment. Algorithms have been evaluated upon the program of brain signaltracking system. According to the results, smart decision making in a cloud environment which iscombined with fog has been caused to reduction in energy consumption in the cloud, the cost of executingthe task in the cloud and the average energy consumption of mobile devices.
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Authors
Mehdi Beyzaee Nejad
Master's degree in software engineering from Basir University