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Optimization of Function Chaining on the Edge for IoT applications

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Makhlouf Hadji
Mohamed Khaledi
  • Function : Author
Salah Eddine Elayoubi

Abstract

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 and versions

hal-03093708 , version 1 (04-01-2021)

Identifiers

  • HAL Id : hal-03093708 , version 1

Cite

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