Performance Modeling and Optimization for a Fog-Based IoT Platform
A fog-based IoT platform model involving three layers, i.e., IoT devices, fog nodes, and the cloud, was proposed using an open Jackson network with feedback. The system performance was analyzed for individual subsystems, and the overall system was based on different input parameters. Interesting per...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-06-01
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| Series: | IoT |
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| Online Access: | https://www.mdpi.com/2624-831X/4/2/10 |
| _version_ | 1797594143280594944 |
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| author | Shensheng Tang |
| author_facet | Shensheng Tang |
| author_sort | Shensheng Tang |
| collection | DOAJ |
| description | A fog-based IoT platform model involving three layers, i.e., IoT devices, fog nodes, and the cloud, was proposed using an open Jackson network with feedback. The system performance was analyzed for individual subsystems, and the overall system was based on different input parameters. Interesting performance metrics were derived from analytical results. A resource optimization problem was developed and solved to determine the optimal service rates at individual fog nodes under some constraint conditions. Numerical evaluations for the performance and the optimization problem are provided for further understanding of the analysis. The modeling and analysis, as well as the optimization design method, are expected to provide a useful reference for the design and evaluation of fog computing systems. |
| first_indexed | 2024-03-11T02:19:23Z |
| format | Article |
| id | doaj.art-64e74556fa2040c1b11983638d7598b8 |
| institution | Directory Open Access Journal |
| issn | 2624-831X |
| language | English |
| last_indexed | 2024-03-11T02:19:23Z |
| publishDate | 2023-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | IoT |
| spelling | doaj.art-64e74556fa2040c1b11983638d7598b82023-11-18T10:57:00ZengMDPI AGIoT2624-831X2023-06-014218320110.3390/iot4020010Performance Modeling and Optimization for a Fog-Based IoT PlatformShensheng Tang0Department of Electrical and Computer Engineering, St. Cloud State University, St. Cloud, MN 56301, USAA fog-based IoT platform model involving three layers, i.e., IoT devices, fog nodes, and the cloud, was proposed using an open Jackson network with feedback. The system performance was analyzed for individual subsystems, and the overall system was based on different input parameters. Interesting performance metrics were derived from analytical results. A resource optimization problem was developed and solved to determine the optimal service rates at individual fog nodes under some constraint conditions. Numerical evaluations for the performance and the optimization problem are provided for further understanding of the analysis. The modeling and analysis, as well as the optimization design method, are expected to provide a useful reference for the design and evaluation of fog computing systems.https://www.mdpi.com/2624-831X/4/2/10fog computingIoTqueueing networkJackson networkperformance modelingoptimization |
| spellingShingle | Shensheng Tang Performance Modeling and Optimization for a Fog-Based IoT Platform IoT fog computing IoT queueing network Jackson network performance modeling optimization |
| title | Performance Modeling and Optimization for a Fog-Based IoT Platform |
| title_full | Performance Modeling and Optimization for a Fog-Based IoT Platform |
| title_fullStr | Performance Modeling and Optimization for a Fog-Based IoT Platform |
| title_full_unstemmed | Performance Modeling and Optimization for a Fog-Based IoT Platform |
| title_short | Performance Modeling and Optimization for a Fog-Based IoT Platform |
| title_sort | performance modeling and optimization for a fog based iot platform |
| topic | fog computing IoT queueing network Jackson network performance modeling optimization |
| url | https://www.mdpi.com/2624-831X/4/2/10 |
| work_keys_str_mv | AT shenshengtang performancemodelingandoptimizationforafogbasediotplatform |