Internet of Things Based Application Placement Technique in Fog Environment
Fog computing bridges the gap between IoT devices and cloud servers by providing low-latency computational resources closer to the network edge. Despite its potential, the rapid increase in IoT applications with diverse resource and quality-of-service (QoS) requirements presents significant challeng...
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| Format: | Article |
| Language: | English |
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An-Najah National University
2025-05-01
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| Series: | مجلة جامعة النجاح للأبحاث العلوم الطبيعية |
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| Online Access: | https://journals.najah.edu/media/journals/full_texts/3638.pdf |
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| author | N Malathy M Ruba S Vinothini |
| author_facet | N Malathy M Ruba S Vinothini |
| author_sort | N Malathy |
| collection | DOAJ |
| description | Fog computing bridges the gap between IoT devices and cloud servers by providing low-latency computational resources closer to the network edge. Despite its potential, the rapid increase in IoT applications with diverse resource and quality-of-service (QoS) requirements presents significant challenges in application deployment and resource optimization. This paper addresses these challenges by introducing a comprehensive application placement framework designed to optimize execution time and energy consumption in a heterogeneous fog environment. The proposed framework consists of three phases. A pre-scheduling method is developed to efficiently allocate tasks by analyzing workflows to reduce computation delays and energy usage. Leveraging an Improved Memetic Algorithm (IMA), this strategy enables effective scheduling of parallel IoT workflows across fog and cloud servers, ensuring balanced resource utilization and enhanced scalability. A lightweight recovery method is incorporated to address runtime failures, ensuring the robustness and reliability of task execution. The performance of the proposed framework is evaluated using real and synthetic IoT workflows in the iFogSim environment. Experimental results demonstrate that the framework achieves a 65% reduction in the weighted cost and a 51% decrease in execution time compared to existing approaches. This makes it a promising solution for managing resource-intensive IoT applications in fog computing environments. |
| format | Article |
| id | doaj-art-9a07ee02694e453badf36a6dc3f1a5b3 |
| institution | DOAJ |
| issn | 1727-2114 2311-8865 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | An-Najah National University |
| record_format | Article |
| series | مجلة جامعة النجاح للأبحاث العلوم الطبيعية |
| spelling | doaj-art-9a07ee02694e453badf36a6dc3f1a5b32025-08-20T03:23:37ZengAn-Najah National Universityمجلة جامعة النجاح للأبحاث العلوم الطبيعية1727-21142311-88652025-05-0140110.35552/anujr.a.40.1.2497Internet of Things Based Application Placement Technique in Fog EnvironmentN Malathy0M Ruba1S Vinothini2Department of Information Technology, Mepco Schlenk Engineering CollegeDepartment of Information Technology, Mepco Schlenk Engineering CollegeDepartment of Information Technology, Mepco Schlenk Engineering CollegeFog computing bridges the gap between IoT devices and cloud servers by providing low-latency computational resources closer to the network edge. Despite its potential, the rapid increase in IoT applications with diverse resource and quality-of-service (QoS) requirements presents significant challenges in application deployment and resource optimization. This paper addresses these challenges by introducing a comprehensive application placement framework designed to optimize execution time and energy consumption in a heterogeneous fog environment. The proposed framework consists of three phases. A pre-scheduling method is developed to efficiently allocate tasks by analyzing workflows to reduce computation delays and energy usage. Leveraging an Improved Memetic Algorithm (IMA), this strategy enables effective scheduling of parallel IoT workflows across fog and cloud servers, ensuring balanced resource utilization and enhanced scalability. A lightweight recovery method is incorporated to address runtime failures, ensuring the robustness and reliability of task execution. The performance of the proposed framework is evaluated using real and synthetic IoT workflows in the iFogSim environment. Experimental results demonstrate that the framework achieves a 65% reduction in the weighted cost and a 51% decrease in execution time compared to existing approaches. This makes it a promising solution for managing resource-intensive IoT applications in fog computing environments.https://journals.najah.edu/media/journals/full_texts/3638.pdffog computingapplication placementschedulingimproved memetic algorithmpartitioning |
| spellingShingle | N Malathy M Ruba S Vinothini Internet of Things Based Application Placement Technique in Fog Environment مجلة جامعة النجاح للأبحاث العلوم الطبيعية fog computing application placement scheduling improved memetic algorithm partitioning |
| title | Internet of Things Based Application Placement Technique in Fog Environment |
| title_full | Internet of Things Based Application Placement Technique in Fog Environment |
| title_fullStr | Internet of Things Based Application Placement Technique in Fog Environment |
| title_full_unstemmed | Internet of Things Based Application Placement Technique in Fog Environment |
| title_short | Internet of Things Based Application Placement Technique in Fog Environment |
| title_sort | internet of things based application placement technique in fog environment |
| topic | fog computing application placement scheduling improved memetic algorithm partitioning |
| url | https://journals.najah.edu/media/journals/full_texts/3638.pdf |
| work_keys_str_mv | AT nmalathy internetofthingsbasedapplicationplacementtechniqueinfogenvironment AT mruba internetofthingsbasedapplicationplacementtechniqueinfogenvironment AT svinothini internetofthingsbasedapplicationplacementtechniqueinfogenvironment |