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- W2371858061 abstract "In order to improve the accuracy of decision-making in monitor services of distributed environment,a new multi-level multi-aspect framework for monitor data was proposed,and a data fusion algorithm was introduced. Firstly,the resource data,including host,process and network, were collected on the platform of publish / subscribe middleware.Secondly,the resource data were fused into logical data through threshold method and Three-Sigma method. The experimental evaluation results show that the threshold method can find the user-defined events timely and accurately,but need strong empirical parameter settings. Three-Sigma method can do it without any setting,but has a poor anti-interference,resulting in a higher false alarm rate. At last,the trend moving average method was used to analyze the used memory in a process and detected that the process leaked memory periodically." @default.
- W2371858061 created "2016-06-24" @default.
- W2371858061 creator A5083909530 @default.
- W2371858061 date "2015-01-01" @default.
- W2371858061 modified "2023-09-23" @default.
- W2371858061 title "Experimental research of data fusion algorithms in monitoring services under distributed environment" @default.
- W2371858061 hasPublicationYear "2015" @default.
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