Publication
Title
A better model for job redundancy : decoupling server slowdown and job size
Author
Abstract
Recent computer systems research has proposed using redundant requests to reduce latency. The idea is to replicate a request so that it joins the queue at multiple servers. The request is considered complete as soon as any one of its copies completes. Redundancy allows us to overcome server-side variability-the fact that a server might be temporarily slow due to factors such as background load, network interrupts, and garbage collection to reduce response time. In the past few years, queueing theorists have begun to study redundancy, first via approximations, and, more recently, via exact analysis. Unfortunately, for analytical tractability, most existing theoretical analysis has assumed an Independent Runtimes (IR) model, wherein the replicas of a job each experience independent runtimes (service times) at different servers. The IR model is unrealistic and has led to theoretical results that can be at odds with computer systems implementation results. This paper introduces a much more realistic model of redundancy. Our model decouples the inherent job size (X) from the server-side slowdown (S), where we track both S and X for each job. Analysis within the S&X model is, of course, much more difficult. Nevertheless, we design a dispatching policy, Redundant-to-Idle-Queue, which is both analytically tractable within the S&X model and has provably excellent performance.
Language
English
Source (journal)
IEEE/ACM transactions on networking / Institute of Electrical and Electronics Engineers [New York, N.Y.]; Association for Computing Machinery. - Piscataway, N.J.
Publication
Piscataway, N.J. : 2017
ISSN
1063-6692
DOI
10.1109/TNET.2017.2744607
Volume/pages
25 :6 (2017) , p. 3353-3367
ISI
000418581900009
Full text (Publisher's DOI)
Full text (open access)
UAntwerpen
Faculty/Department
Research group
Project info
A new paradigm for the service process in queueing systems, with applications in computer and communication networks.
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identifier
Creation 27.09.2017
Last edited 09.10.2023
To cite this reference