Multidimensional access methods
ACM Computing Surveys (CSUR)
Matching events in a content-based subscription system
Proceedings of the eighteenth annual ACM symposium on Principles of distributed computing
Filtering algorithms and implementation for very fast publish/subscribe systems
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Efficient filtering in publish-subscribe systems using binary decision diagrams
ICSE '01 Proceedings of the 23rd International Conference on Software Engineering
Efficient Filtering of XML Documents for Selective Dissemination of Information
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
Cayuga: a high-performance event processing engine
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
Early profile pruning on XML-aware publish-subscribe systems
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
A survey of top-k query processing techniques in relational database systems
ACM Computing Surveys (CSUR)
Routing of XML and XPath Queries in Data Dissemination Networks
ICDCS '08 Proceedings of the 2008 The 28th International Conference on Distributed Computing Systems
Scalable ranked publish/subscribe
Proceedings of the VLDB Endowment
The Claremont report on database research
ACM SIGMOD Record
A distributed service-oriented architecture for business process execution
ACM Transactions on the Web (TWEB)
Efficiently evaluating complex boolean expressions
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
Enabling real time data analysis
Proceedings of the VLDB Endowment
Efficient event processing through reconfigurable hardware for algorithmic trading
Proceedings of the VLDB Endowment
GPX-matcher: a generic boolean predicate-based XPath expression matcher
Proceedings of the 14th International Conference on Extending Database Technology
Introducing the guard-stage-milestone approach for specifying business entity lifecycles
WS-FM'10 Proceedings of the 7th international conference on Web services and formal methods
Proceedings of the 2011 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
Towards vulnerability-based intrusion detection with event processing
Proceedings of the 5th ACM international conference on Distributed event-based system
fpga-ToPSS: line-speed event processing on fpgas
Proceedings of the 5th ACM international conference on Distributed event-based system
Multi-query Stream Processing on FPGAs
ICDE '12 Proceedings of the 2012 IEEE 28th International Conference on Data Engineering
Relevance Matters: Capitalizing on Less (Top-k Matching in Publish/Subscribe)
ICDE '12 Proceedings of the 2012 IEEE 28th International Conference on Data Engineering
Location-based matching in publish/subscribe revisited
Proceedings of the Posters and Demo Track
Analysis and optimization for boolean expression indexing
ACM Transactions on Database Systems (TODS)
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The efficient processing of large collections of patterns (Boolean expressions, XPath queries, or continuous SQL queries) over data streams plays a central role in major data intensive applications ranging from user-centric processing and personalization to real-time data analysis. On the one hand, emerging user-centric applications, including computational advertising and selective information dissemination, demand determining and presenting to an end-user only the most relevant content that is both user-consumable and suitable for limited screen real estate of target (mobile) devices. We achieve these user-centric requirements through novel high-dimensional indexing structures and (parallel) algorithms. On the other hand, applications in real-time data analysis, including computational finance and intrusion detection, demand meeting stringent subsecond processing requirements and providing high-frequency and low-latency event processing over data streams. We achieve real-time data analysis requirements by leveraging reconfigurable hardware -- FPGAs -- to sustain line-rate processing by exploiting unprecedented degrees of parallelism and potential for pipelining, only available through custom-built, application-specific, and low-level logic design. Finally, we conduct a comprehensive evaluation to demonstrate the superiority of our proposed techniques in comparison with state-of-the-art algorithms designed for event processing.