tag :: Automated_model_learning prediction

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5Baloo: Measuring and Modeling the Performance Configurations of Distributed DBMS
J. Grohmann, D. Seybold, S. Eismann, M. Leznik, S. Kounev, и J. Domaschka. 2020 28th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS), стр. 1--8. IEEE, (ноября 2020)Acceptance Rate: 27%.
4 лет назад , @samuel.kounev
automated_model_learning
descartes
myown
performance
performance_modeling
prediction
statistical_estimation_and_machine_learning
t_full
automated_model_learningdescartesmyownperformanceperformance_modelingpredictionstatistical_estimation_and_machine_learningt_full
(0)
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5Baloo: Measuring and Modeling the Performance Configurations of Distributed DBMS
J. Grohmann, D. Seybold, S. Eismann, M. Leznik, S. Kounev, и J. Domaschka. 2020 28th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS), стр. 1--8. IEEE, (ноября 2020)Acceptance Rate: 27%.
4 лет назад , @simon.eismann
automated_model_learning
descartes
myown
performance
performance_modeling
prediction
statistical_estimation_and_machine_learning
t_full
automated_model_learningdescartesmyownperformanceperformance_modelingpredictionstatistical_estimation_and_machine_learningt_full
(0)
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5Baloo: Measuring and Modeling the Performance Configurations of Distributed DBMS
J. Grohmann, D. Seybold, S. Eismann, M. Leznik, S. Kounev, и J. Domaschka. 2020 28th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS), стр. 1--8. IEEE, (ноября 2020)Acceptance Rate: 27%.
4 лет назад , @se-group
automated_model_learning
descartes
myown
performance
performance_modeling
prediction
statistical_estimation_and_machine_learning
t_full
automated_model_learningdescartesmyownperformanceperformance_modelingpredictionstatistical_estimation_and_machine_learningt_full
(0)
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5Baloo: Measuring and Modeling the Performance Configurations of Distributed DBMS
J. Grohmann, D. Seybold, S. Eismann, M. Leznik, S. Kounev, и J. Domaschka. 2020 28th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS), стр. 1--8. IEEE, (ноября 2020)Acceptance Rate: 27%.
4 лет назад , @joh.grohmann
performance
select
t_full
automated_model_learning
statistical_estimation_and_machine_learning
myown
performance_modeling
prediction
descartes
performanceselectt_fullautomated_model_learningstatistical_estimation_and_machine_learningmyownperformance_modelingpredictiondescartes
(0)
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3Incremental Calibration of Architectural Performance Models with Parametric Dependencies
M. Mazkatli, D. Monschein, J. Grohmann, и A. Koziolek. 2020 IEEE International Conference on Software Architecture (ICSA 2020), стр. 23--34. IEEE, (марта 2020)
4 лет назад , @se-group
Automated_model_learning
descartes
modeling
myown
performance
prediction
statistical_estimation_and_machine_learning
t_full
Automated_model_learningdescartesmodelingmyownperformancepredictionstatistical_estimation_and_machine_learningt_full
(0)
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3Incremental Calibration of Architectural Performance Models with Parametric Dependencies
M. Mazkatli, D. Monschein, J. Grohmann, и A. Koziolek. 2020 IEEE International Conference on Software Architecture (ICSA 2020), стр. 23--34. IEEE, (марта 2020)
5 лет назад , @joh.grohmann
Automated_model_learning
descartes
modeling
myown
performance
prediction
statistical_estimation_and_machine_learning
t_full
Automated_model_learningdescartesmodelingmyownperformancepredictionstatistical_estimation_and_machine_learningt_full
(0)
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3Dynamic Hybrid Forecasting for Self-Aware Systems
M. Züfle. University of Würzburg, Am Hubland, Informatikgebäude, 97074 Würzburg, Germany, Master Thesis, (октября 2017)Würzburg Software Engineering Award sponsored by infosim.
5 лет назад , @andre.bauer
Automated_model_learning
Chameleon
Online_monitoring_and_forecasting
Optimization
Performance
Prediction
Self-aware-computing
Supervised_by_Nikolas_Herbst
Telescope
Thesis_supervised_by_Andre_Bauer
Thesis_supervised_by_SE_member
descartes
se2_mastersthesis
t_studentthesis
Automated_model_learningChameleonOnline_monitoring_and_forecastingOptimizationPerformancePredictionSelf-aware-computingSupervised_by_Nikolas_HerbstTelescopeThesis_supervised_by_Andre_BauerThesis_supervised_by_SE_memberdescartesse2_mastersthesist_studentthesis
(0)
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1Modeling Server Energy Consumption using Machine Learning
T. Oestreicher. University of Würzburg, Am Hubland, Informatikgebäude, 97074 Würzburg, Germany, Master Thesis, (октября 2016)
5 лет назад , @se-group
Automated_model_learning
Thesis_supervised_by_Joakim_vonKistowski
Performance
Power
Prediction
descartes
Power-energy_efficient_computing
Thesis_supervised_by_SE_member
Tool
se2_mastersthesis
Automated_model_learningThesis_supervised_by_Joakim_vonKistowskiPerformancePowerPredictiondescartesPower-energy_efficient_computingThesis_supervised_by_SE_memberToolse2_mastersthesis
(0)
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3Dynamic Hybrid Forecasting for Self-Aware Systems
M. Züfle. University of Würzburg, Am Hubland, Informatikgebäude, 97074 Würzburg, Germany, Master Thesis, (октября 2017)Würzburg Software Engineering Award sponsored by infosim.
5 лет назад , @se-group
Automated_model_learning
Chameleon
Online_monitoring_and_forecasting
Optimization
Performance
Prediction
Self-aware-computing
Supervised_by_Nikolas_Herbst
Telescope
Thesis_supervised_by_Andre_Bauer
Thesis_supervised_by_SE_member
descartes
se2_mastersthesis
t_studentthesis
Automated_model_learningChameleonOnline_monitoring_and_forecastingOptimizationPerformancePredictionSelf-aware-computingSupervised_by_Nikolas_HerbstTelescopeThesis_supervised_by_Andre_BauerThesis_supervised_by_SE_memberdescartesse2_mastersthesist_studentthesis
(0)
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3Dynamic Hybrid Forecasting for Self-Aware Systems
M. Züfle. University of Würzburg, Am Hubland, Informatikgebäude, 97074 Würzburg, Germany, Master Thesis, (октября 2017)Würzburg Software Engineering Award sponsored by infosim.
5 лет назад , @marwin.zuefle
Automated_model_learning
Chameleon
Online_monitoring_and_forecasting
Optimization
Performance
Prediction
Self-aware-computing
Supervised_by_Nikolas_Herbst
Telescope
Thesis_supervised_by_Andre_Bauer
Thesis_supervised_by_SE_member
descartes
myown
se2_mastersthesis
t_studentthesis
Automated_model_learningChameleonOnline_monitoring_and_forecastingOptimizationPerformancePredictionSelf-aware-computingSupervised_by_Nikolas_HerbstTelescopeThesis_supervised_by_Andre_BauerThesis_supervised_by_SE_memberdescartesmyownse2_mastersthesist_studentthesis
(0)
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1Automated Extraction of Palladio Component Models from Running Enterprise Java Applications
F. Brosig. Universität Karlsruhe (TH), Karlsruhe, Germany, (июня 2009)FZI Prize "Best Diploma Thesis".
5 лет назад , @se-group
Automated_model_learning
Award
Instrumentation_profiling_and_workload_characterization
Performance
Prediction
Thesis_supervised_by_SE_member
descartes
se2_mastersthesis
t_studentthesis
Automated_model_learningAwardInstrumentation_profiling_and_workload_characterizationPerformancePredictionThesis_supervised_by_SE_memberdescartesse2_mastersthesist_studentthesis
(0)
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2Flexible Performance Predictions at Run-time
S. Eismann. HotCloudperf 2018, (апреля 2018)
5 лет назад , @se-group
DML
Statistical_estimation_and_machine_learning
se2_talk
Performance
Simulation
t_talk
Prediction
descartes
Automated_model_learning
Meta-models
Analytical_and_simulation-based_analysis
DMLStatistical_estimation_and_machine_learningse2_talkPerformanceSimulationt_talkPredictiondescartesAutomated_model_learningMeta-modelsAnalytical_and_simulation-based_analysis
(0)
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1Performance Evaluation: Metrics, Models and Benchmarks, Proceedings of the 2008 SPEC International Performance Evaluation Workshop (SIPEW 2008), Darmstadt, Germany, June 27-28
K. Sachs. том 5119 из Lecture Notes in Computer Science (LNCS), Heidelberg, Germany, Springer, (июня 2008)
5 лет назад , @se-group
Analytical_and_simulation-based_analysis
Application_quality_of_service_management
Automated_model_learning
Formal_architecture_modeling
Instrumentation_profiling_and_workload_characterization
Meta-models
Metrics_and_benchmarking_methodologies
Online_monitoring_and_forecasting
Optimization
Performance
Power
Power-energy_efficient_computing
Prediction
Resource_management
SPEC
Simulation
t_workshop
Analytical_and_simulation-based_analysisApplication_quality_of_service_managementAutomated_model_learningFormal_architecture_modelingInstrumentation_profiling_and_workload_characterizationMeta-modelsMetrics_and_benchmarking_methodologiesOnline_monitoring_and_forecastingOptimizationPerformancePowerPower-energy_efficient_computingPredictionResource_managementSPECSimulationt_workshop
(0)
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5A Concept for Crowd-sensed Prediction of Mobile Network Connectivity
S. Herrnleben, B. Zeidler, M. Züfle, C. Krupitzer, и S. Kounev. GI/ITG Workshop on Machine Learning in the Context of Communication Networks 2020, (февраля 2020)
5 лет назад , @chris.krupitzer
Application-aware
Automated_model_learning
Cloud
Internet_of_Things
Networking
Prediction
Self-adaptive-systems
descartes
t_workshop
myown
Application-awareAutomated_model_learningCloudInternet_of_ThingsNetworkingPredictionSelf-adaptive-systemsdescartest_workshopmyown
(0)
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5A Concept for Crowd-sensed Prediction of Mobile Network Connectivity
S. Herrnleben, B. Zeidler, M. Züfle, C. Krupitzer, и S. Kounev. GI/ITG Workshop on Machine Learning in the Context of Communication Networks 2020, (февраля 2020)
5 лет назад , @samuel.kounev
Application-aware
Automated_model_learning
Cloud
Internet_of_Things
Networking
Prediction
Self-adaptive-systems
descartes
t_workshop
myown
Application-awareAutomated_model_learningCloudInternet_of_ThingsNetworkingPredictionSelf-adaptive-systemsdescartest_workshopmyown
(0)
копироватьудалитьдобавить публикацию в буфер
5A Concept for Crowd-sensed Prediction of Mobile Network Connectivity
S. Herrnleben, B. Zeidler, M. Züfle, C. Krupitzer, и S. Kounev. GI/ITG Workshop on Machine Learning in the Context of Communication Networks 2020, (февраля 2020)
5 лет назад , @se-group
Application-aware
Automated_model_learning
Cloud
Internet_of_Things
Networking
Prediction
Self-adaptive-systems
descartes
t_workshop
Application-awareAutomated_model_learningCloudInternet_of_ThingsNetworkingPredictionSelf-adaptive-systemsdescartest_workshop
(0)
копироватьудалитьдобавить публикацию в буфер
5A Concept for Crowd-sensed Prediction of Mobile Network Connectivity
S. Herrnleben, B. Zeidler, M. Züfle, C. Krupitzer, и S. Kounev. GI/ITG Workshop on Machine Learning in the Context of Communication Networks 2020, (февраля 2020)
5 лет назад , @marwin.zuefle
Application-aware
Automated_model_learning
Cloud
Internet_of_Things
Networking
Prediction
Self-adaptive-systems
descartes
myown
t_workshop
Application-awareAutomated_model_learningCloudInternet_of_ThingsNetworkingPredictionSelf-adaptive-systemsdescartesmyownt_workshop
(0)
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6On Learning Parametric Dependencies from Monitoring Data
J. Grohmann, S. Eismann, и S. Kounev. Proceedings of the 10th Symposium on Software Performance 2019 (SSP'19), (ноября 2019)
5 лет назад , @se-group
Automated_model_learning
Performance
Prediction
Self-adaptive-systems
Self-aware-computing
Statistical_estimation_and_machine_learning
descartes
t_workshop
Automated_model_learningPerformancePredictionSelf-adaptive-systemsSelf-aware-computingStatistical_estimation_and_machine_learningdescartest_workshop
(0)
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6On Learning Parametric Dependencies from Monitoring Data
J. Grohmann, S. Eismann, и S. Kounev. Proceedings of the 10th Symposium on Software Performance 2019 (SSP'19), (ноября 2019)
5 лет назад , @samuel.kounev
Automated_model_learning
Performance
Prediction
Self-adaptive-systems
Self-aware-computing
Statistical_estimation_and_machine_learning
descartes
t_workshop
myown
Automated_model_learningPerformancePredictionSelf-adaptive-systemsSelf-aware-computingStatistical_estimation_and_machine_learningdescartest_workshopmyown
(0)
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6On Learning Parametric Dependencies from Monitoring Data
J. Grohmann, S. Eismann, и S. Kounev. Proceedings of the 10th Symposium on Software Performance 2019 (SSP'19), (ноября 2019)
5 лет назад , @simon.eismann
Automated_model_learning
Performance
Prediction
Self-adaptive-systems
Self-aware-computing
Statistical_estimation_and_machine_learning
descartes
t_workshop
myown
Automated_model_learningPerformancePredictionSelf-adaptive-systemsSelf-aware-computingStatistical_estimation_and_machine_learningdescartest_workshopmyown
(0)
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5Baloo: Measuring and Modeling the Performance Configurations of Distributed DBMS

5Baloo: Measuring and Modeling the Performance Configurations of Distributed DBMS

5Baloo: Measuring and Modeling the Performance Configurations of Distributed DBMS

5Baloo: Measuring and Modeling the Performance Configurations of Distributed DBMS

3Incremental Calibration of Architectural Performance Models with Parametric Dependencies

3Incremental Calibration of Architectural Performance Models with Parametric Dependencies

3Dynamic Hybrid Forecasting for Self-Aware Systems

1Modeling Server Energy Consumption using Machine Learning

3Dynamic Hybrid Forecasting for Self-Aware Systems

3Dynamic Hybrid Forecasting for Self-Aware Systems

1Automated Extraction of Palladio Component Models from Running Enterprise Java Applications

2Flexible Performance Predictions at Run-time

1Performance Evaluation: Metrics, Models and Benchmarks, Proceedings of the 2008 SPEC International Performance Evaluation Workshop (SIPEW 2008), Darmstadt, Germany, June 27-28

5A Concept for Crowd-sensed Prediction of Mobile Network Connectivity

5A Concept for Crowd-sensed Prediction of Mobile Network Connectivity

5A Concept for Crowd-sensed Prediction of Mobile Network Connectivity

5A Concept for Crowd-sensed Prediction of Mobile Network Connectivity

6On Learning Parametric Dependencies from Monitoring Data

6On Learning Parametric Dependencies from Monitoring Data

6On Learning Parametric Dependencies from Monitoring Data

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