Advertisement
Published in:
2006 | OriginalPaper | Chapter
Buffer-Preposed QoS Adaptation Framework and Load Shedding Techniques over Streams
Authors : Rui Zhou, Guoren Wang, Donghong Han, Pizhen Gong, Chuan Xiao, Hongru Li
Published in: Web Information Systems – WISE 2006
Publisher: Springer Berlin Heidelberg
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
Maintaining the quality of queries over streaming data is often thought to be of tremendous challenge since data arrival rate and average per-tuple CPU processing cost are highly unpredictable. In this paper, we address a novel buffer-preposed QoS adaptation framework on the basis of control theory and present several load shedding techniques and scheduling strategies in order to guarantee the QoS of processing streaming data. As the most significant part of our framework, buffer manager consisting of scheduler, adaptor and cleaner, is deliberately introduced and analyzed. The experiments on both synthetic data and real life data show that our system, which is built by adding several concrete strategies on the framework, outperforms existing works on both resource utilization and QoS assurance.