基于雾计算的动态任务规划
ynamic task planning based on fog calculation
在雾计算相关的技术越来越广泛地应用于各个领域,在我们的雾计算业务场景下,需要解决动态的任务规划问题,如何在雾计算场景下解决动态任务规划的问题,从而更好分配任务,从而优化整个流程,亟需解决。本文提出基于雾计算的动态任务规划的方法,该方法通过模拟了一个一个虚拟的雾计算的边缘区域,通过路径预测规划,动态的进行任务规划和分配。通过随机生成的场景,预先分配小任务,最终使得整个流程中小任务能够正确分配准确率从贪心规则的方案提升了10个百分点。
he technology of fog calculation is more and more widely used in various fields, in our fog computing business scenario, We need to solve the dynamic task planning problem, How to solve the problem of dynamic task planning under the fog calculation scenario, so as to better distribute the task, so as to optimize the whole process and urgently need to Solve. In this paper, a method of dynamic task planning based on fog calculation is proposed, which simulates a virtual fog computing edge region, and dynamically carries out task planning and allocation through path prediction Planning. By randomly generating the scene, pre-allocating small tasks, resulting in the entire process small and medium-sized tasks can be correctly assigned accuracy rate reached at 10%
林荣恒、黄兴勃、邹华
计算技术、计算机技术
雾计算动态任务规划路径预测任务分配
fog computedynamic task planning problempath predictiontask allocation
林荣恒,黄兴勃,邹华.基于雾计算的动态任务规划[EB/OL].(2018-12-19)[2025-08-10].http://www.paper.edu.cn/releasepaper/content/201812-74.点此复制
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