Research on Load Adaptive Balancing Method for Energy Meter Data Collection Terminals
In order to face the load imbalance problem caused by the high data volume and access volume of energy meter data collection terminal,the load adaptive balancing method for energy meter data collection terminal based on metamodel is studied.The energy meter data of the energy meter data collection terminal is used as the model metadata,and after data extraction,transformation and loading processing,the processed data is stored in the metadata warehouse.Under the condition that the metadata load size is unknown,the basic load balancing algorithm is innovatively used to allocate the metadata load in the metadata warehouse,and the load volume of metadata is solved.When the load is too large,the load of metadata is balanced by migrating the catalog subtree of the node with low load,and the load balancing of access to the energy meter data collection terminal is realized.The results of the case test show that the method responds quickly.The method can reduce the load of the energy meter data collection terminal,solve the metadata request surge problem,and improve the balance of the cluster load.
Energy meterMetamodelData collection terminalAdaptiveLoad balancing methodMetadataLoad volume