燕山大学学报2025，Vol.49Issue(4)：319-331,13.DOI:10.3969/j.issn.1007-791X.2025.04.005
智能电网云边协同机制下计算任务雾-雾-云优化分配策略
Optimization allocation strategy for calculating tasks with fog-fog-cloud under cloud edge collaboration mechanism in smart grid
摘要
Abstract
The problem of high latency in calculating task processing is exposed when cloud computing is applied to data processing in smart grid power consumption information management.A system architecture is established that takes into account the differences in computing resource capacity,computing power,and network transmission between fog layer nodes,as well as between cloud and fog layers,and a new fog cloud calculating task allocation strategy for smart grids is proposed in this paper.Firstly,a task allocation model for power computing considering dynamic priority is established.The dynamic priority of power computing task requirements is set based on their inherent priority and execution urgency,and a value coefficient is introduced to comprehensively consider the processing delay of calculating tasks and the value of decision allocation.The calculation task processing delay and decision allocation value are comprehensively considered.Secondly,a load balancing based fog-fog-cloud calculating task allocation strategy is proposed,which minimizes the total service delay of the calculating task set under the acceptable delay threshold for users,and obtains the optimal power calculating task allocation scheme to achieve load balancing in the fog layer computing network.Finally,the ant colony optimization algorithm is used to simulate the example.The results shows that the fog-fog-cloud calculating task allocation strategy proposed in this paper can effectively reduce the processing delay of power grid business,improve the resource utilization of server clusters,and reduce the risk of network congestion in cloud edge collaborative computing.关键词
雾-雾-云计算系统/智能电网/计算任务分配策略/负载均衡Key words
fog-fog-cloud computing system/smart grid/calculating task allocation strategy/load balance分类
信息技术与安全科学引用本文复制引用
王宏,尹超,孙博,蔡俊鑫,贾清泉..智能电网云边协同机制下计算任务雾-雾-云优化分配策略[J].燕山大学学报,2025,49(4):319-331,13.基金项目
国家自然科学基金资助项目(51877186) （51877186）
