Sampling from a moving window over streaming data
SODA '02 Proceedings of the thirteenth annual ACM-SIAM symposium on Discrete algorithms
The CQL continuous query language: semantic foundations and query execution
The VLDB Journal — The International Journal on Very Large Data Bases
Monitoring streams: a new class of data management applications
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
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In this demo, we present real-time log analysis using Hitachi uCosminexus Stream Data Platform, uCSDP for short. Real-time log analysis is one of the key applications that offers preventive measures to detect irregular manipulations and human mistakes in system management, and reduces the risk and loss caused by such operations to the minimum in advance. uCSDP is the stream data processing system featuring its declarative query processing language, flexible time management, RAS support for high-available processing, and eager scheduling for ultra low latency processing. This demo highlights the uCSDP features for realizing real-time log analysis very easily and effectively.