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- Title
不确定网络环境中任务卸载和资源分配联合优化方法.
- Authors
王 昭; 张承宇; 左琳立; 刘超超
- Abstract
In an uncertain wireless network environment, the randomness of task arrival, user movement, and the time-varying nature of wireless channel states lead to uncertain network environment characteristics such as cloud queuing delay and device network connection time, which greatly affect the efficiency of computing offloading and network resource utilization. To address this issue, this paper establishes a dynamic task offloading and edge resource adaptive allocation model for computing and network coordination. A multi-stage stochastic programming optimization algorithm (SS-MSSP) for task offloading and joint resource allocation based on stochastic simulation was proposed with the goal of minimizing the total energy consumption of the system. The multi-stage stochastic programming theory was used to formulate multi-stage strategies, and the posteriori computing network resource allocation method was used to compensate for the impact of uncertain network environments. Simulation results show that in an uncertain network environment, the SS-MSSP algorithm ensures the user’s computing delay requirements while effectively reducing system energy consumption.
- Subjects
OPTIMIZATION algorithms; DELAY lines; RESOURCE allocation; ENERGY consumption; MOBILE computing; STOCHASTIC programming; WIRELESS channels
- Publication
Journal of Chongqing University of Posts & Telecommunications (Natural Science Edition), 2024, Vol 36, Issue 4, p836
- ISSN
1673-825X
- Publication type
Article
- DOI
10.3979/j.issn.1673-825X.202404260104