On co-scheduling of periodic update and application transactions with fixed priority assignment for real-time monitoring

  • Jiantao Wang
  • , Kam Yiu Lam
  • , Song Han
  • , Sang H. Son
  • , Aloysius K. Mok

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

In a real-time database system for detection of critical events, meeting the deadlines of the application transactions and maintaining the quality of the real-time data objects are two critical issues in ensuring the effectiveness of performing the real-time monitoring tasks. Unfortunately, these two goals conflict with each other and are difficult to be achieved at the same time. To address this update and application transaction co-scheduling problem, in this paper, we propose a fixed priority scheduling algorithm called Periodic Co-Scheduling (PCS). PCS uses periodic update transactions to maintain the temporal validity of real-time data objects. It judiciously decides the priority order among all the update and application transactions so that the constructed co-schedule can satisfy the deadline constraints of all the application transactions while maximizing the qualities of the real-time data objects. The effectiveness of the PCS algorithm is validated through our extensive simulation experiments.

Original languageEnglish
Title of host publicationProceedings - 26th IEEE International Conference on Advanced Information Networking and Applications, AINA 2012
Pages253-260
Number of pages8
DOIs
StatePublished - 2012
Event26th IEEE International Conference on Advanced Information Networking and Applications, AINA 2012 - Fukuoka, Japan
Duration: 26 Mar 201229 Mar 2012

Publication series

NameProceedings - International Conference on Advanced Information Networking and Applications, AINA
ISSN (Print)1550-445X

Conference

Conference26th IEEE International Conference on Advanced Information Networking and Applications, AINA 2012
Country/TerritoryJapan
CityFukuoka
Period26/03/1229/03/12

Keywords

  • Co-scheduling
  • Critical events
  • Quality of data (QoD)
  • Real-time data monitoring

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