Performance evaluation of interactive data services under sharing and preemptive scheduling disciplines

Authors:
Wei Song;Weihua Zhuang;Dongmei Zhao
Affiliations:
Electrical Engineering and Computer Sciences, University of California, Berkeley;Electrical and Computer Engineering, University of Waterloo, Waterloo, Canada;Electrical and Computer Engineering, McMaster University, Hamilton, Canada
Venue:
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Year:
2009

Citing 6
Cited 0

Self-similarity in World Wide Web traffic: evidence and possible causes

IEEE/ACM Transactions on Networking (TON)
Analysis of SRPT scheduling: investigating unfairness

Proceedings of the 2001 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Integrated Admission Control for Streaming and Elastic Traffic

COST 263 Proceedings of the Second International Workshop on Quality of Future Internet Services
How heavy-tailed distributions affect simulation-generated time averages

ACM Transactions on Modeling and Computer Simulation (TOMACS)
Multi-service load sharing for resource management in the cellular/WLAN integrated network

IEEE Transactions on Wireless Communications
Improving Voice and Data Services in Cellular/WLAN Integrated Networks by Admission Control

IEEE Transactions on Wireless Communications

Quantified Score

Hi-index	0.00

Visualization

Abstract

As specified by the third-generation (3G) wireless networks such as the universal mobile telecommunication system (UMTS), interactive data services, such as Web browsing, voice messaging, and file transfer, represent a major service class in operation nowadays. In this paper, we develop an analytical approach to evaluate the performance of interactive data services under sharing and preemptive scheduling. Specifically, we take into account user interactions in data sessions and the heavy-tailed data file size. Both the mean and the standard deviation of data transfer delay are investigated for the two representative scheduling disciplines. Numerical results are given to show the validity of the evaluation approach and the impact of the on-off user behavior under the scheduling disciplines.