An Architecture for Fast and General Data Processing on Large Clusters
作者:Matei Zaharia 作者单位:University of California 加工时间:2014-03-17 信息来源:EECS 索取原文[127 页]
关键词:大型集群;体系结构;弹性分布式数据集;数据处理 摘 要:This dissertation proposes an architecture for cluster computing systems that can tackle emerging data processing workloads while coping with larger and larger scales.