Abstract
Many vehicular tasks shall be completed in a timely manner as they move. In automotive edge computing, a vehicle can offload such tasks to an edge server in proximity to process them faster than using the cloud computing model. However, such an edge server has limited communication coverage and relatively smaller computing power compared to the general cloud server, it is important to distribute the offloaded workloads appropriately. One needs to understand such workload patterns and quantitatively analyze them for such workload distribution. We propose a preliminary hybrid simulation framework that generates compute workloads via a combination of the virtual vehicular traffic and the physical edge-server platforms.
| Original language | English |
|---|---|
| Title of host publication | ICTC 2024 - 15th International Conference on ICT Convergence |
| Subtitle of host publication | AI-Empowered Digital Innovation |
| Publisher | IEEE Computer Society |
| Pages | 617-618 |
| Number of pages | 2 |
| ISBN (Electronic) | 9798350364637 |
| DOIs | |
| State | Published - 2024 |
| Event | 15th International Conference on Information and Communication Technology Convergence, ICTC 2024 - Jeju Island, Korea, Republic of Duration: 16 Oct 2024 → 18 Oct 2024 |
Publication series
| Name | International Conference on ICT Convergence |
|---|---|
| ISSN (Print) | 2162-1233 |
| ISSN (Electronic) | 2162-1241 |
Conference
| Conference | 15th International Conference on Information and Communication Technology Convergence, ICTC 2024 |
|---|---|
| Country/Territory | Korea, Republic of |
| City | Jeju Island |
| Period | 16/10/24 → 18/10/24 |
Bibliographical note
Publisher Copyright:© 2024 IEEE.
Keywords
- Computation Offloading
- Computing Workload
- Edge Server