NDLI: Load Shedding for Window Joins over Streams

Content Provider	Springer Nature Link
Author	Han, Dong Hong Wang, Guo Ren Xiao, Chuan Zhou, Rui
Copyright Year	2007
Abstract	We address several load shedding techniques over sliding window joins. We first construct a dual window architectural model including aux-windows and join-windows, and build statistics on aux-windows. With the statistics, we develop an effective load shedding strategy producing maximum subset join outputs. In order to accelerate the load shedding process, binary indexed trees have been utilized to reduce the cost on shedding evaluation. When streams have high arrival rates, we propose an approach incorporating front-shedding and rear-shedding, and find an optimal trade-off between them. As for the scenarios of variable speed ratio, we develop a plan reallocating CPU resources and dynamically resizing the windows. In addition, we prove that load shedding is not affected during the process of reallocation. Both synthetic and real data are used in our experiments, and the results show the promise of our strategies.
Starting Page	182
Ending Page	189
Page Count	8
File Format	PDF
ISSN	10009000
Journal	Journal of Computer Science and Technology
Volume Number	22
Issue Number	2
e-ISSN	18604749
Language	English
Publisher	Kluwer Academic Publishers
Publisher Date	2007-04-17
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	data stream window joins load shedding dual window model window resizing Computer Science Software Engineering Theory of Computation Data Structures, Cryptology and Information Theory Artificial Intelligence (incl. Robotics) Information Systems Applications (incl.Internet)
Content Type	Text
Resource Type	Article
Subject	Theoretical Computer Science Computational Theory and Mathematics Computer Science Applications Software Hardware and Architecture

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