A predicate matching algorithm for database rule systems
SIGMOD '90 Proceedings of the 1990 ACM SIGMOD international conference on Management of data
The R*-tree: an efficient and robust access method for points and rectangles
SIGMOD '90 Proceedings of the 1990 ACM SIGMOD international conference on Management of data
Matching events in a content-based subscription system
Proceedings of the eighteenth annual ACM symposium on Principles of distributed computing
The SIFT information dissemination system
ACM Transactions on Database Systems (TODS)
NiagaraCQ: a scalable continuous query system for Internet databases
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Filtering algorithms and implementation for very fast publish/subscribe systems
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Rate-based query optimization for streaming information sources
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Continuously adaptive continuous queries over streams
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
R-trees: a dynamic index structure for spatial searching
SIGMOD '84 Proceedings of the 1984 ACM SIGMOD international conference on Management of data
Integrating the UB-Tree into a Database System Kernel
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
The Multilevel Grid File - A Dynamic Hierarchical Multidimensional File Structure
Proceedings of the Second International Symposium on Database Systems for Advanced Applications
Efficient Distribution-Based Event Filtering
ICDCSW '02 Proceedings of the 22nd International Conference on Distributed Computing Systems
ICDE '99 Proceedings of the 15th International Conference on Data Engineering
Streaming queries over streaming data
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Design of B+tree-based predicate index for efficient event matching
APWeb'03 Proceedings of the 5th Asia-Pacific web conference on Web technologies and applications
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Publish/subscribe system captures the dynamic aspect of the specified information by notifying users of interesting events as soon as possible. Fast response time is important for event filtering which requires multiple step processing and is also one of important factors to provide good service for subscribers. Generally the event arrival rate is time varying and unpredictable. It is very possible that no event arrives in one unit time and multiple events arrive in another unit time. When multiple events with different workloads arrive at the same time, the average response time of multiple-event filtering depends on the sequence of event by event filtering. As far as we know, significant research efforts have been dedicated to the techniques of single event filtering, they can not efficiently filter multiple events in fast response time. In this paper, we first propose a multiple-event filtering algorithm based on R-tree. By calculating relative workload of each event, event by event filtering can be executed with short-job first policy so as to improve average response time of multiple-event filtering. Furthermore, a self-adaptive model is proposed to filter multiple events in dynamically changing environment. The multiple-event filtering algorithm and the self-adaptive model are evaluated in a simulated environment. The results show that the average response time can be improved maximum up to nearly 50%. With the self-adaptive model, multiple events can be filtered with average response time always same as or close to the possible best time in the dynamically changing environment.