目前研究人员针对雾计算环境中的任务调度问题已经展开了研究并取得了一定成果,但是仍然存在不足.当前研究在任务调度中着重考虑了用户对低时延的需求,而未能针对用户的多维服务质量(Quality of Service,简称 QoS)需求进行优化.事实上用户在使用雾端资源节点处理任务请求时对时延、安全性、可靠性等方面均有需求.因此,文章将对目前研究中存在的不足展开讨论,提出基于多维QoS约束的任务调度算法,该算法考虑了用户的多维QoS需求.
Task Scheduling Algorithm Based on Multi-dimensional QoS Constraints in Fog Computing Environment
Researchers have studied the task scheduling problem in fog computing environments and achieved some results,but there are still shortcomings.Current research focuses on users'demand for low latency in task scheduling,but fails to optimize for users'multi-dimensional Quality of Service(QoS)requirements.In fact,users have demands for latency,security,relia-bility,and other aspects when using fog resource nodes to process task requests.Therefore,this article will discuss the shortcomings in current research,and propose a task scheduling algorithm based on multi-dimensional QoS constraints,which takes into account users'multi-dimensional QoS requirements.
task schedulingresource nodefog computingQuality of Service
万方数据
维普
