Daytona and the fourth-generation language Cymbal
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
Gigascope: a stream database for network applications
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Stream warehousing with DataDepot
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
Towards highly parallel event processing through reconfigurable hardware
Proceedings of the Seventh International Workshop on Data Management on New Hardware
fpga-ToPSS: line-speed event processing on fpgas
Proceedings of the 5th ACM international conference on Distributed event-based system
Exploratory monitoring of large-scale networks using clustering algorithms
Proceedings of the First International Workshop on Data Mining for Service and Maintenance
Towards an extensible efficient event processing kernel
PhD '12 Proceedings of the on SIGMOD/PODS 2012 PhD Symposium
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Network-based services have become a ubiquitous part of our lives, to the point where individuals and businesses have often come to critically rely on them. Building and maintaining such reliable, high performance network and service infrastructures requires the ability to rapidly investigate and resolve complex service and performance impacting issues. To achieve this, it is important to collect, correlate and analyze massive amounts of data from a diverse collection of data sources in real time. We have designed and implemented a variety of data systems at AT&T Labs-Research to build highly scalable databases that support real time data collection, correlation and analysis, including (a) the Daytona data management system, (b) the DataDepot data warehousing system, (c) the GS tool data stream management system, and (d) the Bistro data feed manager. Together, these data systems have enabled the creation and maintenance of a data warehouse and data analysis infrastructure for troubleshooting complex issues in the network. We describe these data systems and their key research contributions in this paper.