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QBETS: queue bounds estimation from time series

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SIGMETRICS '07: Proceedings of the 2007 ACM SIGMETRICS international conference on Measurement and modeling of computer systems

Pages 379 - 380

https://doi.org/10.1145/1254882.1254939

Published: 12 June 2007 Publication History

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Ding QZheng PKudari SVenkataraman SZhang ZMohror KArnold DBadia R(2023)Mirage: Towards Low-interruption Services on Batch GPU Clusters with Reinforcement LearningProceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis10.1145/3581784.3607042(1-13)Online publication date: 12-Nov-2023
https://dl.acm.org/doi/10.1145/3581784.3607042
Samandi VTiňo PBahsoon R(2023)Real-Time Workflow Scheduling in Cloud with Recursive Neural Network and List SchedulingHybrid Artificial Intelligent Systems10.1007/978-3-031-40725-3_21(244-255)Online publication date: 5-Sep-2023
https://dl.acm.org/doi/10.1007/978-3-031-40725-3_21
Seneviratne SLevy DDe Silva L(2023)A Taxonomy of Performance Forecasting Systems in the Serverless Cloud Computing EnvironmentsServerless Computing: Principles and Paradigms10.1007/978-3-031-26633-1_4(79-120)Online publication date: 12-May-2023
https://doi.org/10.1007/978-3-031-26633-1_4
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QBETS: queue bounds estimation from time series
1. Mathematics of computing
  1. Probability and statistics
    1. Nonparametric statistics

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Published In

SIGMETRICS '07: Proceedings of the 2007 ACM SIGMETRICS international conference on Measurement and modeling of computer systems

June 2007

398 pages

ISBN:9781595936394

DOI:10.1145/1254882

General Chair:
Leana Golubchik
University of Southern California, USA
,
Program Chairs:
Mostafa Ammar
Georgia Institute of Technology, USA
,
Mor Harchol-Balter
Carnegie Mellon University, USA

ACM SIGMETRICS Performance Evaluation Review Volume 35, Issue 1
SIGMETRICS '07 Conference Proceedings
June 2007
382 pages
ISSN:0163-5999
DOI:10.1145/1269899
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: 12 June 2007

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SIGMETRICS07

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SIGMETRICS07: ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems

June 12 - 16, 2007

California, San Diego, USA

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

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Cited By

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Ding QZheng PKudari SVenkataraman SZhang ZMohror KArnold DBadia R(2023)Mirage: Towards Low-interruption Services on Batch GPU Clusters with Reinforcement LearningProceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis10.1145/3581784.3607042(1-13)Online publication date: 12-Nov-2023
https://dl.acm.org/doi/10.1145/3581784.3607042
Samandi VTiňo PBahsoon R(2023)Real-Time Workflow Scheduling in Cloud with Recursive Neural Network and List SchedulingHybrid Artificial Intelligent Systems10.1007/978-3-031-40725-3_21(244-255)Online publication date: 5-Sep-2023
https://dl.acm.org/doi/10.1007/978-3-031-40725-3_21
Seneviratne SLevy DDe Silva L(2023)A Taxonomy of Performance Forecasting Systems in the Serverless Cloud Computing EnvironmentsServerless Computing: Principles and Paradigms10.1007/978-3-031-26633-1_4(79-120)Online publication date: 12-May-2023
https://doi.org/10.1007/978-3-031-26633-1_4
Wyatt MHerbein SGamblin TTaufer M(2022)AI4IO: A suite of AI-based tools for IO-aware schedulingThe International Journal of High Performance Computing Applications10.1177/1094342022107976536:3(370-387)Online publication date: 3-Apr-2022
https://doi.org/10.1177/10943420221079765
Li BArora RSamsi SPatel TArcand WBestor DByun CRoy RBergeron BHolodnak JHoule MHubbell MJones MKepner JKlein AMichaleas PMcDonald JMilechin LMullen JProut APrice BReuther ARosa AWeiss MYee CEdelman DVanterpool ACheng AGadepally VTiwari D(2022)AI-Enabling Workloads on Large-Scale GPU-Accelerated System: Characterization, Opportunities, and Implications2022 IEEE International Symposium on High-Performance Computer Architecture (HPCA)10.1109/HPCA53966.2022.00093(1224-1237)Online publication date: Apr-2022
https://doi.org/10.1109/HPCA53966.2022.00093
Ambati PBashir NIrwin DShenoy P(2021)Good Things Come to Those Who WaitProceedings of the ACM Symposium on Cloud Computing10.1145/3472883.3487007(229-242)Online publication date: 1-Nov-2021
https://dl.acm.org/doi/10.1145/3472883.3487007
Seneviratne SDe Silva LWitharana S(2021)Taxonomy And Survey Of Performance Prediction Systems For The Distributed Systems Including The Clouds2021 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, Physical & Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics)10.1109/iThings-GreenCom-CPSCom-SmartData-Cybermatics53846.2021.00051(262-268)Online publication date: Dec-2021
https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData-Cybermatics53846.2021.00051
Pal AMalakar P(2021)An Integrated Job Monitor, Analyzer and Predictor2021 IEEE International Conference on Cluster Computing (CLUSTER)10.1109/Cluster48925.2021.00091(609-617)Online publication date: Sep-2021
https://doi.org/10.1109/Cluster48925.2021.00091
Souza APelckmans KGhoshal DRamakrishnan LTordsson JParashar MVlassov VIrwin DMohror K(2020)ASA - The Adaptive Scheduling ArchitectureProceedings of the 29th International Symposium on High-Performance Parallel and Distributed Computing10.1145/3369583.3392693(161-165)Online publication date: 23-Jun-2020
https://dl.acm.org/doi/10.1145/3369583.3392693
Patel TLiu ZKettimuthu RRich PAllcock WTiwari D(2020)Job Characteristics on Large-Scale Systems: Long-Term Analysis, Quantification, and ImplicationsSC20: International Conference for High Performance Computing, Networking, Storage and Analysis10.1109/SC41405.2020.00088(1-17)Online publication date: Nov-2020
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