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Determining a computing center environment

Author:

Robert F. RosinAuthors Info & Claims

Communications of the ACM, Volume 8, Issue 7

Pages 463 - 468

https://doi.org/10.1145/364995.365690

Published: 01 July 1965 Publication History

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Abstract

An investigation is described in which several generally unavailable parameters descriptive of a computing center environment are obtained. The actual data collection and reduction is described, and the results of one month of this collection are tabulated and summarized.

References

[1]

Ford Foundation Project on the Use of Computers in Engineering Education. Final Report. U. of Michigan College of Engineering, Aim Arbor, 1963.

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[2]

CORBATO, et al. The MIT Time-Sharing System, MIT Press, Cambridge, Mass., 1963.

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Cited By

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Abyaneh ALiao MZahedi S(2022)Malcolm: Multi-agent Learning for Cooperative Load Management at Rack ScaleProceedings of the ACM on Measurement and Analysis of Computing Systems10.1145/35706116:3(1-25)Online publication date: 8-Dec-2022
https://dl.acm.org/doi/10.1145/3570611
Ghasemi MLubin B(2015)Modeling multi-attribute demand for sustainable cloud computing with copulaeProceedings of the 24th International Conference on Artificial Intelligence10.5555/2832581.2832612(2596-2602)Online publication date: 25-Jul-2015
https://dl.acm.org/doi/10.5555/2832581.2832612
Campbell S(2013)"Wat For EverIEEE Annals of the History of Computing10.1109/MAHC.2012.135:1(11-22)Online publication date: 1-Jan-2013
https://dl.acm.org/doi/10.1109/MAHC.2012.1
Show More Cited By

Index Terms

Determining a computing center environment
1. Social and professional topics
  1. Professional topics
    1. Management of computing and information systems

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Published In

Communications of the ACM Volume 8, Issue 7

July 1965

49 pages

ISSN:0001-0782

EISSN:1557-7317

DOI:10.1145/364995

Editor:
C. C. Gotlieb
Univ. of Toronto, Toronto, Canada

Issue’s Table of Contents

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 July 1965

Published in CACM Volume 8, Issue 7

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Abyaneh ALiao MZahedi S(2022)Malcolm: Multi-agent Learning for Cooperative Load Management at Rack ScaleProceedings of the ACM on Measurement and Analysis of Computing Systems10.1145/35706116:3(1-25)Online publication date: 8-Dec-2022
https://dl.acm.org/doi/10.1145/3570611
Ghasemi MLubin B(2015)Modeling multi-attribute demand for sustainable cloud computing with copulaeProceedings of the 24th International Conference on Artificial Intelligence10.5555/2832581.2832612(2596-2602)Online publication date: 25-Jul-2015
https://dl.acm.org/doi/10.5555/2832581.2832612
Campbell S(2013)"Wat For EverIEEE Annals of the History of Computing10.1109/MAHC.2012.135:1(11-22)Online publication date: 1-Jan-2013
https://dl.acm.org/doi/10.1109/MAHC.2012.1
Iosup ASonmez OAnoep SEpema DParashar MSchwan KWeissman JLaforenza D(2008)The performance of bags-of-tasks in large-scale distributed systemsProceedings of the 17th international symposium on High performance distributed computing10.1145/1383422.1383435(97-108)Online publication date: 23-Jun-2008
https://dl.acm.org/doi/10.1145/1383422.1383435
Feitelson D(2008)Looking at data2008 IEEE International Symposium on Parallel and Distributed Processing10.1109/IPDPS.2008.4536092(1-9)Online publication date: Apr-2008
https://doi.org/10.1109/IPDPS.2008.4536092
Feitelson D(2001)Metrics for Parallel Job Scheduling and Their ConvergenceRevised Papers from the 7th International Workshop on Job Scheduling Strategies for Parallel Processing10.5555/646382.689681(188-206)Online publication date: 16-Jun-2001
https://dl.acm.org/doi/10.5555/646382.689681
Feitelson D(2001)Metrics for Parallel Job Scheduling and Their ConvergenceJob Scheduling Strategies for Parallel Processing10.1007/3-540-45540-X_11(188-205)Online publication date: 19-Oct-2001
https://doi.org/10.1007/3-540-45540-X_11
Harchol-Balter MDowney A(1997)Exploiting process lifetime distributions for dynamic load balancingACM Transactions on Computer Systems10.1145/263326.26334415:3(253-285)Online publication date: 1-Aug-1997
https://dl.acm.org/doi/10.1145/263326.263344
Harchol-Balter MDowney AReed D(1996)Exploiting process lifetime distributions for dynamic load balancingProceedings of the 1996 ACM SIGMETRICS international conference on Measurement and modeling of computer systems10.1145/233013.233019(13-24)Online publication date: 15-May-1996
https://dl.acm.org/doi/10.1145/233013.233019
Harchol-Balter MDowney A(1996)Exploiting process lifetime distributions for dynamic load balancingACM SIGMETRICS Performance Evaluation Review10.1145/233008.23301924:1(13-24)Online publication date: 15-May-1996
https://dl.acm.org/doi/10.1145/233008.233019
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Metacomputing in a High Performance Computing Center

Meta-scheduling of level-set methods in a grid computing environment

Building and Operating a Distributed Regional Centre for LHC Computing and Data Storage

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