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RB-storm: Resource Balance Scheduling in Apache Storm

机译:RB-storm:Apache Storm中的资源平衡调度

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Apache Storm is a distributed stream processing computation framework, which has become a preferred technology for near-realtime big data processing by many organizations worldwide. However, Storm lacks an intelligent scheduling mechanism. The default round-robin scheduling which ignores the imbalance of resource requirements of tasks and resource availability of work nodes can leads to serious resource wastage. In this paper, by defining the Resource Requirement Vector (RRV) of tasks and the Resource Utilization Vector (RUV) of work nodes, we propose a resource balance scheduling algorithm, namely RB-storm, to minimize the resources wastage with the consideration of the load of work nodes. The experimental results show that RB-storm algorithm can reduce resources wastage and ensure the performance of Storm cluster.
机译:Apache Storm是一个分布式流处理计算框架,已成为全球许多组织近乎实时处理大数据的首选技术。但是,Storm缺乏智能的调度机制。默认的轮询调度会忽略任务的资源需求和工作节点的资源可用性的不平衡,这会导致严重的资源浪费。在本文中,通过定义任务的资源需求向量(RRV)和工作节点的资源利用向量(RUV),我们提出了一种资源平衡调度算法,即RB-storm,以最大程度地减少资源浪费。工作节点的负载。实验结果表明,RB-storm算法可以减少资源浪费,保证Storm集群的性能。

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