Indexing Valid Time Databases via B+-Trees
IEEE Transactions on Knowledge and Data Engineering
ICDE '96 Proceedings of the Twelfth International Conference on Data Engineering
Optimizing Queries with Materialized Views
ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
Semantic Data Caching and Replacement
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
Implementing Incremental View Maintenance in Nested Data Models
DBLP-6 Proceedings of the 6th International Workshop on Database Programming Languages
A predicate-based caching scheme for client-server database architectures
The VLDB Journal — The International Journal on Very Large Data Bases
A nested relational approach to processing SQL subqueries
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Adaptive load shedding for windowed stream joins
Proceedings of the 14th ACM international conference on Information and knowledge management
Run-time operator state spilling for memory intensive long-running queries
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
High-performance complex event processing over streams
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
ZStream: a cost-based query processor for adaptively detecting composite events
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
Processing nested complex sequence pattern queries over event streams
Proceedings of the Seventh International Workshop on Data Management for Sensor Networks
Query-answering algorithms for information agents
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
E-Cube: multi-dimensional event sequence analysis using hierarchical pattern query sharing
Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
High-performance nested CEP query processing over event streams
ICDE '11 Proceedings of the 2011 IEEE 27th International Conference on Data Engineering
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Complex Event Processing (CEP) has become increasingly important for tracking and monitoring anomalies and trends in event streams emitted from business processes such as supply chain management to online stores in e-commerce. These monitoring applications submit complex event queries to track sequences of events that match a given pattern. While the state-of-the-art CEP systems mostly focus on the execution of flat sequence queries, we instead support the execution of nested CEP queries specified by the (NEsted Event Language) NEEL. However the iterative execution often results in the repeated recomputation of similar or even identical results for nested subexpressions as the window slides over the event stream. In this work we thus propose to optimize NEEL execution performance by caching intermediate results. In particular we design two methods of applying selective caching of intermediate results. The first is the Continuous Sliding Caching technique. The second is a further optimization of the previous technique which we call the Interval-Driven Semantic Caching. Techniques for incrementally loading, purging and exploiting the cache content are described. Our experimental study using real-world stock trades evaluates the performance of our proposed caching strategies for different query types.