Time-critical on-demand data broadcast: Algorithms, analysis, and performance evaluation

Jianliang Xu, Xueyan Tang, Wang Chien Lee

Research output: Contribution to journalArticlepeer-review

150 Scopus citations

Abstract

On-demand broadcast is an effective wireless data dissemination technique to enhance system scalability and deal with dynamic user access patterns. With the rapid growth of time-critical information services in emerging applications, there is an increasing need for the system to support timely data dissemination. This paper investigates online scheduling algorithms for time-critical on-demand data broadcast. We propose a novel scheduling algorithm called SIN-α that takes the urgency and number of outstanding requests into consideration. An efficient implementation of SIN-α is presented. We also analyze the theoretical bound of request drop rate when the request arrival rate rises toward infinity. Trace-driven experiments show that SIN-α significantly outperforms existing algorithms over a wide range of workloads and approaches the analytical bound at high request rates.

Original languageEnglish (US)
Pages (from-to)3-14
Number of pages12
JournalIEEE Transactions on Parallel and Distributed Systems
Volume17
Issue number1
DOIs
StatePublished - Jan 2006

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Hardware and Architecture
  • Computational Theory and Mathematics

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