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Test Codes for Efficient Correlation Analytics over Large Event Logs

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ECA

Test code for the paper "Efficient Event Correlation over Distributed Systems" [1]

1, The used METIS graph paritioner is avialble at (http://glaros.dtc.umn.edu/gkhome/metis/metis/download).

2, After exporting the jar file from the souce code, an sample of the job submission command is shown as below. Namely, besides the first four system parameters, there are 6 other parameters in our codes. There, "spark://taurusi5429:7077" is the sparkcontext, "hdfs://taurusi5429:54310/input/" is the file input path over HDFS, "32" is the number of executor cores, "Scm-250.csv.2" is the input event log, "0.1" is the value of \alpha and "0.5" is the value of \beta .

spark-submit \
--class RF_Graph \
--master spark://taurusi5429:7077 \
--executor-memory 30G \
ECA.jar \
spark://taurusi5429:7077 \
hdfs://taurusi5429:54310/input/ \
32 \
Scm-250.csv.2 \
0.1 \
0.5

3, How to set Spark, please refer to http://spark.apache.org/.

4, If any questions, please email to l.cheng(AT)tue.nl

[1] Long Cheng, Boudewijn van Dongen and Wil van der Aalst. Efficient Event Correlation over Distributed Systems. Proc. 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, May 2017.

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