Skip to content Skip to navigation
University of Warwick
  • Study
  • |
  • Research
  • |
  • Business
  • |
  • Alumni
  • |
  • News
  • |
  • About

University of Warwick
Publications service & WRAP

Highlight your research

  • WRAP
    • Home
    • Search WRAP
    • Browse by Warwick Author
    • Browse WRAP by Year
    • Browse WRAP by Subject
    • Browse WRAP by Department
    • Browse WRAP by Funder
    • Browse Theses by Department
  • Publications Service
    • Home
    • Search Publications Service
    • Browse by Warwick Author
    • Browse Publications service by Year
    • Browse Publications service by Subject
    • Browse Publications service by Department
    • Browse Publications service by Funder
  • Help & Advice
University of Warwick

The Library

  • Login
  • Admin

Scheduling analysis with martingales

Tools
- Tools
+ Tools

Poloczek, Felix and Ciucu, Florin (2014) Scheduling analysis with martingales. Performance Evaluation, Volume 79 . pp. 56-72. doi:10.1016/j.peva.2014.07.004 ISSN 0166-5316.

[img]
Preview
PDF
WRAP_Ciucu_envelopecr.pdf - Accepted Version - Requires a PDF viewer.

Download (1240Kb) | Preview
Official URL: http://dx.doi.org/10.1016/j.peva.2014.07.004

Request Changes to record.

Abstract

This paper proposes a new characterization of queueing systems by bounding a suitable exponential transform with a martingale. The constructed martingale is quite versatile in the sense that it captures queueing systems with Markovian and autoregressive arrivals in a unified manner; the second class is particularly relevant due to Wold’s decomposition of stationary processes. Moreover, using the framework of stochastic network calculus, the martingales allow for a simple handling of typical queueing operations: (1) flows’ multiplexing translates into multiplying the corresponding martingales, and (2) scheduling translates into time-shifting the martingales. The emerging calculus is applied to estimate the per-flow delay for FIFO, SP, and EDF scheduling. Unlike state-of-the-art results, our bounds capture a fundamental exponential leading constant in the number of multiplexed flows, and additionally are numerically tight.

Item Type: Journal Article
Subjects: Q Science > QA Mathematics
Divisions: Faculty of Science, Engineering and Medicine > Science > Computer Science
Library of Congress Subject Headings (LCSH): Martingales (Mathematics) , Queuing theory, Scheduling, Stochastic analysis
Journal or Publication Title: Performance Evaluation
Publisher: Elsevier Science BV
ISSN: 0166-5316
Official Date: September 2014
Dates:
DateEvent
September 2014Published
11 July 2014Available
Volume: Volume 79
Page Range: pp. 56-72
DOI: 10.1016/j.peva.2014.07.004
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
Date of first compliant deposit: 4 April 2016
Date of first compliant Open Access: 26 July 2016
Embodied As: 1

Request changes or add full text files to a record

Repository staff actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics

twitter

Email us: wrap@warwick.ac.uk
Contact Details
About Us