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Communication Dans Un Congrès Année : 2021

Optimization of Function Chaining on the Edge for IoT applications

Mohamed Khaledi
  • Fonction : Auteur
Makhlouf Hadji

Résumé

With the rapid deployment of Internet of Things (IoT) applications, video processing and streaming requirements are increasing, and edge computing is a good candidate to cope with strong latency and throughput expectations. In this paper, we consider the optimal routing, placement and scaling of IoT-based service function chains for object detection. We propose an edge networking approach dealing with limited CPU and network bandwidth resources in a joint optimization based on Integer Linear Programming for small problem instances, and a graph-based approximation to cope with scalability issues. We evaluate the efficiency of our algorithms through simulations and show that the graph-based approach converges towards a near-optimal solution in negligible time and is thus suitable for real-time function chain placement.
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Dates et versions

hal-03093708 , version 1 (11-12-2023)

Identifiants

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Mohamed Khaledi, Makhlouf Hadji, Salah Eddine Elayoubi, Dusit Niyato. Optimization of Function Chaining on the Edge for IoT applications. IEEE WCNC 2021, Mar 2021, Nanjing, China. ⟨10.1109/WCNC49053.2021.9417362⟩. ⟨hal-03093708⟩
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