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Optimization of Function Chaining on the Edge for IoT applications

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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Contributor : Makhlouf Hadji Connect in order to contact the contributor
Submitted on : Monday, January 4, 2021 - 9:28:40 AM
Last modification on : Thursday, May 27, 2021 - 10:34:29 AM


  • HAL Id : hal-03093708, version 1


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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