Online Collaborative Task Offloading and Resource Allocation for MEC System

被引：0
|
作者：
Sun, Zemin [1 ]
Sun, Geng [1 ]
Yuan, Minghua [1 ]
机构：
[1] Jilin Univ, Changchun, Peoples R China
来源：
PROCEEDINGS OF THE ACM TURING AWARD CELEBRATION CONFERENCE-CHINA 2024, ACM-TURC 2024 | 2024年
关键词：
Mobile edge computing; Task offloading; Resource allocation;
D O I：
10.1145/3674399.3674476
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：224 / 225
页数：2
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