Smart City Gnosys
Smart city article details
| Title | Efficient Edge Server Placement Under Latency And Load Balancing Constraints For Vehicular Networks |
|---|---|
| ID_Doc | 22296 |
| Authors | Khamari S.; Ahmed T.; Mosbah M. |
| Year | 2022 |
| Published | Proceedings - IEEE Global Communications Conference, GLOBECOM |
| DOI | http://dx.doi.org/10.1109/GLOBECOM48099.2022.10000721 |
| Abstract | Vehicular applications in smart cities, such as assisted and autonomous driving, require sophisticated data processing, low latency, and high throughput data transmission. Edge Computing is a leading approach designed to meet those application requirements. By deploying Edge servers at the network's edge, close to the vehicles, such applications can be successfully delivered while adhering to low-latency and high-throughput requirements. However, optimal placement of Edge servers is challenging since it necessitates a trade-off between quality of service and deployment cost. Latency can be reduced by placing as many Edge servers as feasible close to the vehicles, however, this results in significant deployment costs. This work addresses the problem of optimal Edge server placement. It solves this problem using integer linear programming, considering the relation between delay and cost, as well as the capacity of Edge servers in realistic road traffic scenarios. The proposed generic methodology is designed to reduce the cost of deploying Edge servers by combining the achievement of the desired latency threshold with workload balancing between Edge servers. We evaluate the efficiency of the proposed solution mathematically and through simulations based on open data from real vehicles traffic on roadways of Bordeaux, France. The obtained results demonstrate that our solution outperforms existing Edge server placement approaches, especially on workload balancing. © 2022 IEEE. |
| Author Keywords | Edge Computing; Edge servers' placement; Optimization; Vehicular networks |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
21262  | 0.912 | Nakrani D.; Khuman J.; Yadav R.N. | Dynamic Edge Server Placement For Computation Offloading In Vehicular Edge Computing | International Conference on Information Networking, 2023-January (2023) |
| 21801 | 0.907 | Laha M.; Kamble S.; Datta R. | Edge Nodes Placement In 5G Enabled Urban Vehicular Networks: A Centrality-Based Approach | 26th National Conference on Communications, NCC 2020 (2020) |
| 16314 | 0.885 | Wang F.; Huang X.; Nian H.; He Q.; Yang Y.; Zhang C. | Cost-Effective Edge Server Placement In Edge Computing | ACM International Conference Proceeding Series (2019) |
| 32466 | 0.884 | Wu Y.; Fang X.; Min G.; Chen H.; Luo C. | Intelligent Offloading Balance For Vehicular Edge Computing And Networks | IEEE Transactions on Intelligent Transportation Systems, 26, 5 (2025) |
| 34289 | 0.882 | Khdr S.O.; Azizi S.; Hassan H.O. | Iterative Weighted Randomized Algorithm For Edge Server Deployment In Mobile Edge Computing | Passer Journal of Basic and Applied Sciences, 7, 1 (2025) |
| 36543 | 0.878 | Yao Y.; He R. | Mean Field Analysis Of Serverless Edge Computing For Smart Vehicle Applications | 2024 4th International Conference on Electronic Information Engineering and Computer Communication, EIECC 2024 (2024) |
| 38362 | 0.878 | Bréhon–Grataloup L.; Kacimi R.; Beylot A.-L. | Multi-Rat-Enabled Edge Computing For Vehicle-To-Everything Architectures | Ad Hoc Networks, 154 (2024) |
| 25414 | 0.874 | El-Sayed, H; Chaqfeh, M | Exploiting Mobile Edge Computing For Enhancing Vehicular Applications In Smart Cities | SENSORS, 19, 5 (2019) |
| 7252 | 0.872 | Guo H.; Shi R.-C.; Gu P.-L.; Li J.-L.; Wang S.-L. | Allocating Edge Service Resources To The Up-Offloaded Vehicle Tasks In Icv Environment | Computer Networks, 227 (2023) |
| 26799 | 0.871 | Rehman M.A.U.; Salah Ud Din M.; Mastorakis S.; Kim B.-S. | Foggyedge: An Information-Centric Computation Offloading And Management Framework For Edge-Based Vehicular Fog Computing | IEEE Intelligent Transportation Systems Magazine, 15, 5 (2023) |