Dynamic Hardware Accelerator Selection Achieving Optimal Utilization of Resources
Year: 2024
Type: article
Abstract: Edge computing with offloading over a network is being considered for enabling users to use advanced applications such as autonomous control applications. When network transmission time and/or task-processing time change, the total offloading time also varies. To guarantee low latency of offloading service in this case, over-performance hardware accelerator (HWA) must be assigned on edge computing, which leads to inefficient HWA resource allocation. To address this issue, we propose a method of selecting a HWA corresponding to change of the network transmission time and/or task-processing time. The proposed method refers past transmission times and input data size for the offload, enabling the prediction of changes in network transmission time and/or task-processing time. We evaluated the time for offloading through simulation and found that our method achieves a high percentage of offloads requested by users while efficiently using HWAs.
Source: IEICE Communications Express
Institution: NTT (Japan)
Language: English
Topic: IoT and Edge/Fog Computing
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4403296130