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1.发明申请DISTRIBUTED RESOURCE-AWARE TASK SCHEDULING WITH REPLICATED DATA PLACEMENT IN PARALLEL DATABASE CLUSTERS 审中-公开分布式资源 - 特征任务调度与并行数据库中的替换数据放置公开(公告)号：US20170039239A1
公开(公告)日：2017-02-09
申请号：US14816681
申请日：2015-08-03
Applicant: SAP SE
Inventor： Pooya Saadat-Panah , Anisoara Nica , Nathan Auch , Peter Bumbulis , Anil Kumar Goel , Jeffrey Pound
CPC classification number: G06F17/30463 , G06F17/30312 , G06F17/30958 , H04L67/1023 , H04L67/1097 , H04L67/325
Abstract: A method and system, the system including a plurality of machines each having a processor and a main memory component; a shared distributed storage facility storing a set of data and accessible by the plurality of machines over a communication network; a controller to select, in response to a state of a query execution plan comprising a plurality of executable jobs for the set of data, which one of a set of scheduling algorithms to execute; an execution engine to execute the selected scheduling algorithm to determine, for each job in the plurality of jobs, which server to schedule to execute the respective job; and providing an indication of the scheduling of the servers determined to be schedules for the execution of the jobs.
Abstract translation: 一种方法和系统，所述系统包括多个机器，每个机器具有处理器和主存储器部件; 共享分布式存储设备，其存储一组数据，并且可由所述多个机器通过通信网络访问; 控制器，响应于包括用于所述数据集合的多个可执行作业的查询执行计划的状态，以执行一组调度算法中的哪一个; 执行引擎，用于执行所选择的调度算法，以针对所述多个作业中的每个作业来确定哪个服务器计划执行相应的作业; 以及提供被确定为用于执行作业的日程表的服务器的调度的指示。
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公开(公告)号：US10042886B2
公开(公告)日：2018-08-07
申请号：US14816681
申请日：2015-08-03
Applicant: SAP SE
Inventor： Pooya Saadat-Panah , Anisoara Nica , Nathan Auch , Peter Bumbulis , Anil Kumar Goel , Jeffrey Pound
Abstract: A method and system, the system including a plurality of machines each having a processor and a main memory component; a shared distributed storage facility storing a set of data and accessible by the plurality of machines over a communication network; a controller to select, in response to a state of a query execution plan comprising a plurality of executable jobs for the set of data, which one of a set of scheduling algorithms to execute; an execution engine to execute the selected scheduling algorithm to determine, for each job in the plurality of jobs, which server to schedule to execute the respective job; and providing an indication of the scheduling of the servers determined to be schedules for the execution of the jobs.
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