NDLI: Earliest Deadline Scheduling for Continuous Queries over Data Streams

Content Provider	IEEE Xplore Digital Library
Author	Xin Li Zhiping Jia Li Ma Ruihua Zhang Haiyang Wang
Copyright Year	2009
Abstract	Many stream-based applications have real-time performance requirements for continuous queries over time varying data streams. In order to address this challenge, a real-time continuous query model is presented to process multiple queries with timing constraints. In this model, the execution of one tuple passing through an operator path is modeled as a real-time task instance. A fine-grained scheduling strategy named OP-EDF is proposed for real-time scheduling, which schedules the operator path with the earliest deadline of the waiting tuples at any time slot. The performance of the OP-EDF is analyzed from three aspects: schedulability, response time and system overhead. Furthermore, two improved batch scheduling algorithms, termed OP-EDF-Batch and OP-EDF-Gate, are introduced to decrease system overhead of the OP-EDF. The experiment results show that the proposed continuous query model and improved scheduling algorithms are effective in real-time query processing for data streams with bursty arrival rates.
Starting Page	57
Ending Page	64
File Size	761254
Page Count	8
File Format	PDF
ISBN	9781424443598
DOI	10.1109/ICESS.2009.14
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-05-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Real time systems continuous query Data engineering data stream Scheduling algorithm Embedded software Computer science Processor scheduling Databases Query processing real-time scheduling Timing deadline Monitoring
Content Type	Text
Resource Type	Article

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