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AMVA techniques for high service time variability

Authors:

Derek L. Eager,

Daniel J. Sorin,

Mary K. VernonAuthors Info & Claims

SIGMETRICS '00: Proceedings of the 2000 ACM SIGMETRICS international conference on Measurement and modeling of computer systems

Pages 217 - 228

https://doi.org/10.1145/339331.339418

Published: 01 June 2000 Publication History

Abstract

Motivated by experience gained during the validation of a recent Approximate Mean Value Analysis (AMVA) model of modern shared memory architectures, this paper re-examines the “standard” AMVA approximation for non-exponential FCFS queues. We find that this approximation is often inaccurate for FCFS queues with high service time variability. For such queues, we propose and evaluate: (1) AMVA estimates of the mean residual service time at an arrival instant that are much more accurate than the standard AMVA estimate, (2) a new AMVA technique that provides a much more accurate estimate of mean center residence time than the standard AMVA estimate, and (3) a new AMVA technique for computing the mean residence time at a “downstream” queue which has a more bursty arrival process than is assumed in the standard AMVA equations. Together, these new techniques increase the range of applications to which AMVA may be fruitfully applied, so that for example, the memory system architecture of shared memory systems with complex modern processors can be analyzed with these computationally efficient methods.

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cover image ACM Conferences

SIGMETRICS '00: Proceedings of the 2000 ACM SIGMETRICS international conference on Measurement and modeling of computer systems

June 2000

329 pages

ISBN:1581131941

DOI:10.1145/339331

Chairmen:
Alexandre Brandwajn
Univ. of California, Santa Cruz, Santa Cruz
,
Jim Kurose
Univ. of Massachusetts-Amherst, Amherst
,
Phillippe Nain
INRIA, Sophia Antipolis, France

ACM SIGMETRICS Performance Evaluation Review Volume 28, Issue 1
Special issue on proceedings of ACM SIGMETRICS 2000
June 2000
327 pages
ISSN:0163-5999
DOI:10.1145/345063
Chairmen:
Alexandre Brandwajn
Univ. of California, Santa Cruz, Santa Cruz
,
Jim Kurose
Univ. of Massachusetts-Amherst, Amherst
,
Phillippe Nain
INRIA Sophia Antipolis, France
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Copyright © 2000 ACM.

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Published: 01 June 2000

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SIGMETRICS00: The International Conference on Measurement and Modeling of Computer Systems

June 18 - 21, 2000

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SIGMETRICS '00 Paper Acceptance Rate 28 of 165 submissions, 17%;

Overall Acceptance Rate 459 of 2,691 submissions, 17%

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Sadiq SDasu TDong XFreire JIlyas ILink SMiller MNaumann FZhou XSrivastava D(2018)Data QualityACM SIGMOD Record10.1145/3186549.318655946:4(35-43)Online publication date: 22-Feb-2018
https://dl.acm.org/doi/10.1145/3186549.3186559
Spyropoulos VKotidis Y(2018)DigreeACM SIGMOD Record10.1145/3186549.318655546:4(22-27)Online publication date: 22-Feb-2018
https://dl.acm.org/doi/10.1145/3186549.3186555
Pitoura ETsaparas PFlouris GFundulaki IPapadakos PAbiteboul SWeikum G(2018)On Measuring Bias in Online InformationACM SIGMOD Record10.1145/3186549.318655346:4(16-21)Online publication date: 22-Feb-2018
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