Repository logo
Log in(current)
Repository logoMIT Open ScholarshipDSpace@MIT
  1. Home
  2. MIT Open Access Articles
  3. MIT Open Access Articles
  4. Qualitative properties of α-weighted scheduling policies

Qualitative properties of α-weighted scheduling policies

Thumbnail Image
Download
Name

Tsitsiklis_Qualitative properties.pdf

Size

219.58 KB

Format

Adobe PDF

Checksum (MD5)

e7ee9590616e9cd0f247024a7d28bce7

Author(s)
Shah, Devavrat
•
Zhong, Yuan
•
Tsitsiklis, John N
Alternative Title
Qualitative properties of α-weighted [alpha weighted] scheduling policies
Date Issued
June 2010
Journal
International Conference on Measurement and Modeling of Computer Systems (2010). ACM SIGMETRICS
Publisher
Association for Computing Machinery
Citation
Shah, Devavrat, John N. Tsitsiklis, and Yuan Zhong. “Qualitative properties of α-weighted scheduling policies.” ACM SIGMETRICS Performance Evaluation Review 38.1 (2010) : 239. Copyright 2010 ACM
Version
Author's final manuscript
Abstract
We consider a switched network, a fairly general constrained queueing network model that has been used successfully to model the detailed packet-level dynamics in communication networks, such as input-queued switches and wireless networks. The main operational issue in this model is that of deciding which queues to serve, subject to certain constraints. In this paper, we study qualitative performance properties of the well known α-weighted [alpha weighted] scheduling policies. The stability, in the sense of positive recurrence, of these policies has been well understood. We establish exponential upper bounds on the tail of the steady-state distribution of the backlog. Along the way, we prove finiteness of the expected steady-state backlog when α < 1 [alpha < 1], a property that was known only for α ≥ 1 [alpha ≥ 1]. Finally, we analyze the excursions of the maximum backlog over a finite time horizon for α ≥ 1 [alpha ≥ 1]. As a consequence, for α ≥ 1 [alpha ≥ 1], we establish the full state space collapse property [17, 18].
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Laboratory for Information and Decision Systems
Massachusetts Institute of Technology. Operations Research Center
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike 3.0
http://creativecommons.org/licenses/by-nc-sa/3.0/
Persistent DSpace Link
http://hdl.handle.net/1721.1/62864
DOI of Published Version
https://doi.org/10.1145/1811039.1811067
Repository logo
PrivacyPermissionsAccessibilityContact us
Repository logo
Notify us about copyright concerns.