发明公开
EP3198479A1 ENRICHING EVENTS WITH DYNAMICALLY TYPED BIG DATA FOR EVENT PROCESSING
审中-公开
利用事件处理的动态类型大数据丰富活动
- 专利标题: ENRICHING EVENTS WITH DYNAMICALLY TYPED BIG DATA FOR EVENT PROCESSING
- 专利标题(中): 利用事件处理的动态类型大数据丰富活动
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申请号: EP15778105.5申请日: 2015-09-21
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公开(公告)号: EP3198479A1公开(公告)日: 2017-08-02
- 发明人: DE CASTRO ALVES, Alexandre , DESHMUKH, Unmesh Anil , BEDEKAR, Yogesh , THUKKARAM, Prabhu , MAHENDRU, Ashish
- 申请人: Oracle International Corporation
- 申请人地址: 500 Oracle Parkway M/S 5OP7 Redwood Shores, California 94065 US
- 专利权人: Oracle International Corporation
- 当前专利权人: Oracle International Corporation
- 当前专利权人地址: 500 Oracle Parkway M/S 5OP7 Redwood Shores, California 94065 US
- 代理机构: Gill Jennings & Every LLP
- 优先权: US201462054732P 20140924; US201514755088 20150630
- 国际公布: WO2016048912 20160331
- 主分类号: G06F17/30
- IPC分类号: G06F17/30
摘要:
Some event ordering requirements can be determined based on continuous event processing queries. Other event ordering requirements can be determined based on distribution flow types being used to distribute events from event streams to node executing the queries. Events from event streams can be ordered according to ordering semantics that are based on a combination of all of these event ordering requirements. Additionally, virtual computing nodes can be associated with constraints, and computing processors can be associated with capabilities. Virtual computing nodes for processing event streams can be assigned to execute on various computing processors based on both these constraints and capabilities. Additionally, for each of several events in an event stream, a ratio between a total latency and a communication latency can be for determined. Based on an average of these ratios, a quantity of reducing nodes that will be involved in a map-reduce operation can be selected.
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