Saadian, Fatemeh, Motameni, Homayun, Golsorkhtabaramiri, Mehdi. (1405). Bi-objective IoT applications deployment in fog environment using parallel ACO. هنرهای کاربردی, 17(7), 157-170. doi: 10.22075/ijnaa.2023.31875.4729
Fatemeh Saadian; Homayun Motameni; Mehdi Golsorkhtabaramiri. "Bi-objective IoT applications deployment in fog environment using parallel ACO". هنرهای کاربردی, 17, 7, 1405, 157-170. doi: 10.22075/ijnaa.2023.31875.4729
Saadian, Fatemeh, Motameni, Homayun, Golsorkhtabaramiri, Mehdi. (1405). 'Bi-objective IoT applications deployment in fog environment using parallel ACO', هنرهای کاربردی, 17(7), pp. 157-170. doi: 10.22075/ijnaa.2023.31875.4729
Saadian, Fatemeh, Motameni, Homayun, Golsorkhtabaramiri, Mehdi. Bi-objective IoT applications deployment in fog environment using parallel ACO. هنرهای کاربردی, 1405; 17(7): 157-170. doi: 10.22075/ijnaa.2023.31875.4729

Bi-objective IoT applications deployment in fog environment using parallel ACO

International Journal of Nonlinear Analysis and Applications
مقاله 14، دوره 17، شماره 7، مهر 2026، صفحه 157-170    اصل مقاله (1.24 M)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22075/ijnaa.2023.31875.4729
نویسندگان
Fatemeh Saadian1؛ Homayun Motameni* 2؛ Mehdi Golsorkhtabaramiri1
1Department of Computer Engineering, Babol Branch, Islamic Azad University, Babol, Iran
2Department of Computer Engineering, Sari Branch, Islamic Azad University, Sari, Iran
چکیده
Nowadays, the Internet of Things (IoT) is inevitable in human daily life. Many IoT-based applications are executed on interoperable devices via the IoT-Fog-Cloud continuum to satisfy users’ requirements. Such applications are generally time-sensitive, so they must be executed in real-time. The time constraint satisfaction strongly depends on the strategy of application placement on processing nodes. In this paper, a multi-objective optimization strategy for deploying microservices of real-time IoT applications is presented, which is considered among the challenging problems in fog and edge environments. A bi-objective optimization model for three-level deadline-aware application services is proposed, which is solved by using a parallel version of the Ant Colony Optimization (ACO) metaheuristic. The simulation results using IFogSim2, the new release of the famous Fog simulator IFogSim, show the superiority of the proposed approach compared to counterpart algorithms in terms of total resource wastage, total network latency, the main objective function, and execution time.
کلیدواژه‌ها
Fog computing؛ Internet of things؛ service placement problem؛ real-time applications
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