Online Collaborative Task Offloading and Resource Allocation for MEC System
Zemin Sun, Geng Sun, Minghua Yuan · 2024
Mobile edge computing (MEC) has been regarded as a promising paradigm to provide flexible services in close proximity to internet-of-things (IoT) users. However, meeting the delay-sensitive and computation-intensive requirements could be challenging due to the limited sources of MEC servers and the difficulty of edge-cloud collaboration. To overcome these issues, we propose an online two-stage joint task offloading and resource allocation algorithm (TJTORA). Moreover, simulation results demonstrate that the proposed approach can effectively reduce the energy consumption and satisfy the constraint of long-term queuing delay.