Name
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. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/WCNC49053.2021.9417362 | 2021 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC) |
Keywords | DocType | ISSN |
IoT function chaining, Combinatorial Optimization, Edge Networking | Conference | 1525-3511 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mohamed-Idriss Khaledi | 1 | 0 | 0.34 |
| Hadji, M. | 2 | 22 | 4.19 |
| Salah Eddine El Ayoubi | 3 | 0 | 0.34 |
| Niyato Dusit | 4 | 9486 | 547.06 |