Real-time, load-adaptive processing of continuous queries over data streams
Proceedings of the second international conference on Distributed event-based systems
Prioritized Evaluation of Continuous Moving Queries over Streaming Locations
SSDBM '08 Proceedings of the 20th international conference on Scientific and Statistical Database Management
Real-time scheduling for continuous queries with deadlines
Proceedings of the 2009 ACM symposium on Applied Computing
Class-based continuous query scheduling for data streams
Proceedings of the Sixth International Workshop on Data Management for Sensor Networks
Significance-Based Failure and Interference Detection in Data Streams
DEXA '09 Proceedings of the 20th International Conference on Database and Expert Systems Applications
Review: Real-time data management on wireless sensor networks: A survey
Journal of Network and Computer Applications
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Many real-time applications, such as traffic control systems, surveillance systems and health monitoring systems, need to operate on continuous unbounded streams of data. These applications also have inherent real-time performance requirements that have to be met under high-volume, time-varying incoming data streams. In this paper, we present a real-time data stream query model named PQuery, which provides periodic real-time queries on data streams for the aforementioned real-time applications. To support the PQuery model, a real-time data stream management prototype system named RTSTREAM is developed to provide deadline miss ratio guarantees for periodic queries over continuous and unbounded data streams. We describe the periodic query semantics and discuss why the periodic query model is appropriate for real-time applications. To handle irregular data arrival patterns and query workloads, we propose data admission as an overload protection mechanism. We conduct performance studies with synthetic workloads as well as real workloads from network traffic monitoring applications. The experimental results show that the proposed periodic query model suits the need of the real-time applications and the data admission overload protection approach is effective in managing the workload fluctuations.