TY - JOUR
AU - Zhang, Dong
AB - In general, a large number of data streams are regarded as a continuous, continuous and infinite data series. It is used in network monitoring, sensor network, aerospace, meteorological measurement and control, financial services and other fields. Stream computing has the characteristics of large data scale, continuous, fast and disordered data arrival, easy data loss and diverse data processing. In view of these characteristics, there are new challenges in resource scheduling, data distribution and fault tolerance in task management of flow computing. This paper uses multi-layer Association big data rules to process the data wheel. The experimental results show that compared with the traditional task management method, the proposed method can provide the efficiency and accuracy of task management.
TI - Key Technologies of Large Data Stream System
JO - Journal of Physics: Conference Series
DO - 10.1088/1742-6596/1881/4/042088
DA - 2021-04-26
UR - https://www.deepdyve.com/lp/iop-publishing/key-technologies-of-large-data-stream-system-UBWgtoTLzS
SP - 042088
VL - 1881
IS - 4
DP - DeepDyve
ER -