应用感知的容器资源调度优化方法

资源调度作为容器管理的关键技术之一，已有研究工作或满足公平性目标，将工作负载平均调度到所有物理节点上，关注吞吐率指标；或满足性能目标，将工作负载关联的多个容器载体调度到相同或相近的物理节点上，关注响应时间.提出应用感知的容器资源调度方法，采用多队列模型兼顾公平性和性能目标.实验结果显示，对于典型的大数据处理场景，本方法和已有公平性调度方法具有相当的吞吐率；对于典型的事务型应用场景，本方法相对于已有的公平性调度方法，事务型应用的延迟最多可减少100%.

Application-Aware Container-Oriented Resource Scheduling Optimized Approach

Resource scheduling is a key technique for container management. Prior work or meets the goal of fairness, the work load average is scheduled to all physical nodes, pays attention to the throughput indicator; or to meets performance targets, multiple carrier scheduling the workload related to physical nodes in the same or similar, pay attention to the response time. In this paper, it presents an application-aware resource scheduling approach, and employs a multi-queue model to meet both fairness and performance targets. Experimental results show that the approach has equal throughput for typical big data processing scenarios, and can reduce latency by up to 100% for typical transactional application scenarios.