Solving Manufacturing Equipment Monitoring Through Efficient Complex Event Processing Tilmann Rabl, Kaiwen Zhang, Mohammad Sadoghi, Navneet Kumar Pandey, Aakash Nigam, Chen Wang, Hans-Arno Jacobsen Middleware Systems Research Group, University of Toronto DEBS Grand Challenge 2012
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Solving Manufacturing Equipment Monitoring Through Efficient Complex Event Processing Tilmann Rabl, Kaiwen Zhang, Mohammad Sadoghi, Navneet Kumar Pandey,
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Solving Manufacturing EquipmentMonitoring Through Efficient
Data set: 5 min + 18 days + synthetic Synthetic data
Many errors (every 2 - 3 min) Maximum throughput (no network)
Metrics: latency & throughput18/07/2012
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Processing Overhead Real Workload
0 – 200 queries (Q1,Q2 repeated) Linear in the number of queries Stable with increasing generator speedup
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ThroughputReal Workload
Throughput controlled by data generator Data generator does not saturate system Peak 9000 events/sec ~ 0.11 ms arrival rate Well below maximum throughput
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LatencySynthetic Workload
Maximum throughput Minimum latency
0.019 ms (10 queries) Maximum latency
0.63 ms (1400 queries)
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Throughput Synthetic Workload
Maximum throughput 40000 events / sec (20 queries)