Cart (Loading....) | Create Account
Close category search window
 

An Approach to Handle Overload in Real-Time Data Stream Management System

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Li Ma ; Inst. of Software, Chinese Acad. of Sci., Beijing ; Xin Li ; Yongyan Wang ; Hong-an Wang

Load shedding is a challengeable issue in data stream management systems (DSMSs). When data stream rates exceed system capacity, the overloaded DSMS fails to process all of its input data and keep up with the rate of data arrival. Especially, in a time-critical environment, queries should be completed not just timely but within certain deadlines. Existing strategies are poor at handling huge fluctuant overload with deadline. In this paper, an Effective Deadline-Aware Random Load Shedding algorithm (named RLS-EDA) is proposed to handle real-time system overload effectively. The RLS-EDA algorithm can make full use of the system idle time by buffering dropped tuples which would have opportunities to be executed when the workload is fade. Experiment results show that our algorithm can reduce average deadline miss ratio and increase system throughput during the period of huge workload fluctuations.

Published in:

Fuzzy Systems and Knowledge Discovery, 2008. FSKD '08. Fifth International Conference on  (Volume:3 )

Date of Conference:

18-20 Oct. 2008

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.