Network Usage and Time Efficient Performance Enhancement Model for IoT Applications in Fog Cloud Computing
Fog computing bridges IoT applications and cloud computing, providing low latency services through local computation and storage. Despite its advantages, challenges such as efficient scheduling and placement of IoT applications on fog cloud nodes hinder its widespread adoption. This manuscript prese...
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| Format: | Article |
| Language: | English |
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Ram Arti Publishers
2025-04-01
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| Series: | International Journal of Mathematical, Engineering and Management Sciences |
| Subjects: | |
| Online Access: | https://www.ijmems.in/cms/storage/app/public/uploads/volumes/25-IJMEMS-24-0459-10-2-506-521-2025.pdf |
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| _version_ | 1825201938227003392 |
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| author | Upma Arora Nipur Singh |
| author_facet | Upma Arora Nipur Singh |
| author_sort | Upma Arora |
| collection | DOAJ |
| description | Fog computing bridges IoT applications and cloud computing, providing low latency services through local computation and storage. Despite its advantages, challenges such as efficient scheduling and placement of IoT applications on fog cloud nodes hinder its widespread adoption. This manuscript presents a Performance Enhancement Algorithm for scheduling IoT applications in a fog cloud environment. The algorithm comprises four key procedures that schedule application modules across the available infrastructure devices. Merge sort along with the heterogeneous shortest module first strategy is used in fusion as the key to improve the performance. The effectiveness of this proposed algorithm was evaluated using the iFogSim simulator and the results demonstrate significant improvements, with total network usage improvement of 66.31% over HSMF, 88.40% over edge-wards, and 98.66% over the cloud-only method. Also, it improves the execution time significantly in most network configurations. Our research contributes to providing a very reliable means for placing applications in the fog-cloud infrastructure as our fusion algorithm makes it a very stable and scalable for CPU bound tasks in fog and cloud computing environment. |
| format | Article |
| id | doaj-art-b66f280ad31146cbb28622d2a77ce996 |
| institution | Kabale University |
| issn | 2455-7749 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Ram Arti Publishers |
| record_format | Article |
| series | International Journal of Mathematical, Engineering and Management Sciences |
| spelling | doaj-art-b66f280ad31146cbb28622d2a77ce9962025-02-07T16:23:26ZengRam Arti PublishersInternational Journal of Mathematical, Engineering and Management Sciences2455-77492025-04-01102506521https://doi.org/10.33889/IJMEMS.2025.10.2.025Network Usage and Time Efficient Performance Enhancement Model for IoT Applications in Fog Cloud ComputingUpma Arora0Nipur Singh1Department of Computer Science, Gurukul Kangri (Deemed to be) University, Haridwar, Uttarakhand, India.Department of Computer Science, Gurukul Kangri (Deemed to be) University, Haridwar, Uttarakhand, India.Fog computing bridges IoT applications and cloud computing, providing low latency services through local computation and storage. Despite its advantages, challenges such as efficient scheduling and placement of IoT applications on fog cloud nodes hinder its widespread adoption. This manuscript presents a Performance Enhancement Algorithm for scheduling IoT applications in a fog cloud environment. The algorithm comprises four key procedures that schedule application modules across the available infrastructure devices. Merge sort along with the heterogeneous shortest module first strategy is used in fusion as the key to improve the performance. The effectiveness of this proposed algorithm was evaluated using the iFogSim simulator and the results demonstrate significant improvements, with total network usage improvement of 66.31% over HSMF, 88.40% over edge-wards, and 98.66% over the cloud-only method. Also, it improves the execution time significantly in most network configurations. Our research contributes to providing a very reliable means for placing applications in the fog-cloud infrastructure as our fusion algorithm makes it a very stable and scalable for CPU bound tasks in fog and cloud computing environment. https://www.ijmems.in/cms/storage/app/public/uploads/volumes/25-IJMEMS-24-0459-10-2-506-521-2025.pdfiot applicationsfog computingcloud computingifogsimperformancenetwork usage |
| spellingShingle | Upma Arora Nipur Singh Network Usage and Time Efficient Performance Enhancement Model for IoT Applications in Fog Cloud Computing International Journal of Mathematical, Engineering and Management Sciences iot applications fog computing cloud computing ifogsim performance network usage |
| title | Network Usage and Time Efficient Performance Enhancement Model for IoT Applications in Fog Cloud Computing |
| title_full | Network Usage and Time Efficient Performance Enhancement Model for IoT Applications in Fog Cloud Computing |
| title_fullStr | Network Usage and Time Efficient Performance Enhancement Model for IoT Applications in Fog Cloud Computing |
| title_full_unstemmed | Network Usage and Time Efficient Performance Enhancement Model for IoT Applications in Fog Cloud Computing |
| title_short | Network Usage and Time Efficient Performance Enhancement Model for IoT Applications in Fog Cloud Computing |
| title_sort | network usage and time efficient performance enhancement model for iot applications in fog cloud computing |
| topic | iot applications fog computing cloud computing ifogsim performance network usage |
| url | https://www.ijmems.in/cms/storage/app/public/uploads/volumes/25-IJMEMS-24-0459-10-2-506-521-2025.pdf |
| work_keys_str_mv | AT upmaarora networkusageandtimeefficientperformanceenhancementmodelforiotapplicationsinfogcloudcomputing AT nipursingh networkusageandtimeefficientperformanceenhancementmodelforiotapplicationsinfogcloudcomputing |