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3Dynamic Hybrid Forecasting for Self-Aware Systems
M. Züfle. University of Würzburg, Am Hubland, Informatikgebäude, 97074 Würzburg, Germany, Master Thesis, (Oktober 2017)Würzburg Software Engineering Award sponsored by infosim.
vor 5 Jahren von @andre.bauer
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Online_monitoring_and_forecasting
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Automated_model_learningChameleonOnline_monitoring_and_forecastingOptimizationPerformancePredictionSelf-aware-computingSupervised_by_Nikolas_HerbstTelescopeThesis_supervised_by_Andre_BauerThesis_supervised_by_SE_memberdescartesse2_mastersthesist_studentthesis
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3Dynamic Hybrid Forecasting for Self-Aware Systems
M. Züfle. University of Würzburg, Am Hubland, Informatikgebäude, 97074 Würzburg, Germany, Master Thesis, (Oktober 2017)Würzburg Software Engineering Award sponsored by infosim.
vor 5 Jahren von @se-group
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Automated_model_learning
Chameleon
Online_monitoring_and_forecasting
Optimization
Performance
Prediction
Self-aware-computing
Supervised_by_Nikolas_Herbst
Telescope
Thesis_supervised_by_Andre_Bauer
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Automated_model_learningChameleonOnline_monitoring_and_forecastingOptimizationPerformancePredictionSelf-aware-computingSupervised_by_Nikolas_HerbstTelescopeThesis_supervised_by_Andre_BauerThesis_supervised_by_SE_memberdescartesse2_mastersthesist_studentthesis
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3Dynamic Hybrid Forecasting for Self-Aware Systems
M. Züfle. University of Würzburg, Am Hubland, Informatikgebäude, 97074 Würzburg, Germany, Master Thesis, (Oktober 2017)Würzburg Software Engineering Award sponsored by infosim.
vor 5 Jahren von @marwin.zuefle
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Automated_model_learning
Chameleon
Online_monitoring_and_forecasting
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Self-aware-computing
Supervised_by_Nikolas_Herbst
Telescope
Thesis_supervised_by_Andre_Bauer
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myown
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Automated_model_learningChameleonOnline_monitoring_and_forecastingOptimizationPerformancePredictionSelf-aware-computingSupervised_by_Nikolas_HerbstTelescopeThesis_supervised_by_Andre_BauerThesis_supervised_by_SE_memberdescartesmyownse2_mastersthesist_studentthesis
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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. Volume 5119 von Lecture Notes in Computer Science (LNCS), Heidelberg, Germany, Springer, (Juni 2008)
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5The Vision of Self-Aware Performance Models
J. Grohmann, S. Eismann, und S. Kounev. 2018 IEEE International Conference on Software Architecture Companion (ICSA-C), Seite 60--63. (April 2018)
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5The Vision of Self-Aware Performance Models
J. Grohmann, S. Eismann, und S. Kounev. 2018 IEEE International Conference on Software Architecture Companion (ICSA-C), Seite 60--63. (April 2018)
vor 5 Jahren von @samuel.kounev
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5The Vision of Self-Aware Performance Models
J. Grohmann, S. Eismann, und S. Kounev. 2018 IEEE International Conference on Software Architecture Companion (ICSA-C), Seite 60--63. (April 2018)
vor 5 Jahren von @simon.eismann
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2Performance Evaluation: Metrics, Models and Benchmarks, Proceedings of the 2008 SPEC International Performance Evaluation Workshop (SIPEW 2008), Darmstadt, Germany, June 27-28
S. Kounev. Volume 5119 von Lecture Notes in Computer Science (LNCS), Heidelberg, Germany, Springer, (Juni 2008)
vor 5 Jahren von @se-group
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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
descartes
t_proceedings
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2ICPE'11 - 2nd Joint ACM/SPEC International Conference on Performance Engineering, Karlsruhe, Germany, March 14--16, 2011
S. Kounev. New York, NY, USA, ACM, (März 2011)
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Online_monitoring_and_forecasting
Optimization
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Power
Power-energy_efficient_computing
Prediction
Resource_management
SPEC
Simulation
descartes
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4Using Machine Learning for Recommending Service Demand Estimation Approaches
J. Grohmann, N. Herbst, S. Spinner, und S. Kounev. Proceedings of the 8th International Conference on Cloud Computing and Services Science (CLOSER 2018), Seite 473--480. INSTICC, SciTePress, (März 2018)
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4Using Machine Learning for Recommending Service Demand Estimation Approaches
J. Grohmann, N. Herbst, S. Spinner, und S. Kounev. Proceedings of the 8th International Conference on Cloud Computing and Services Science (CLOSER 2018), Seite 473--480. INSTICC, SciTePress, (März 2018)
vor 5 Jahren von @samuel.kounev
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GoogleResearchAward
LibReDE
Optimization
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Prediction
Resource_management
Self-adaptive-systems
Statistical_estimation_and_machine_learning
descartes
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myown
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4Using Machine Learning for Recommending Service Demand Estimation Approaches
J. Grohmann, N. Herbst, S. Spinner, und S. Kounev. Proceedings of the 8th International Conference on Cloud Computing and Services Science (CLOSER 2018), Seite 473--480. INSTICC, SciTePress, (März 2018)
vor 5 Jahren von @nikolas.herbst
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LibReDE
Optimization
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Prediction
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Self-adaptive-systems
Statistical_estimation_and_machine_learning
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myown
Automated_model_learningGoogleResearchAwardLibReDEOptimizationPRISMAPredictionResource_managementSelf-adaptive-systemsStatistical_estimation_and_machine_learningdescartest_visionpositionmyown
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3Predictive Performance Modeling of Virtualized Storage Systems using Optimized Statistical Regression Techniques
Q. Noorshams, D. Bruhn, S. Kounev, und R. Reussner. Proceedings of the ACM/SPEC International Conference on Performance Engineering (ICPE 2013), Seite 283--294. New York, NY, USA, ACM, (2013)
vor 5 Jahren von @se-group
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SPA
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Storage
Virtualization
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2The Storage Performance Analyzer: Measuring, Monitoring, and Modeling of I/O Performance in Virtualized Environments
Q. Noorshams, A. Busch, S. Kounev, und R. Reussner. Proceedings of the 6th ACM/SPEC International Conference on Performance Engineering, (Februar 2015)
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Storage
Prediction
Virtualization
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2Performance Evaluation: Metrics, Models and Benchmarks, Proceedings of the 2008 SPEC International Performance Evaluation Workshop (SIPEW 2008), Darmstadt, Germany, June 27-28
S. Kounev. Volume 5119 von Lecture Notes in Computer Science (LNCS), Heidelberg, Germany, Springer, (Juni 2008)
vor 5 Jahren von @samuel.kounev
alle anzeigen
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
descartes
t_proceedings
myown
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_managementSPECSimulationdescartest_proceedingsmyown
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5The Vision of Self-Aware Performance Models
J. Grohmann, S. Eismann, und S. Kounev. 2018 IEEE International Conference on Software Architecture Companion (ICSA-C), Seite 60--63. (April 2018)
vor 5 Jahren von @joh.grohmann
alle anzeigen
Analytical_and_simulation-based_analysis
Automated_model_learning
DML
Online_monitoring_and_forecasting
Optimization
Performance
Prediction
Self-adaptive-systems
Self-aware-computing
Simulation
Statistical_estimation_and_machine_learning
descartes
t_visionposition
myown
Analytical_and_simulation-based_analysisAutomated_model_learningDMLOnline_monitoring_and_forecastingOptimizationPerformancePredictionSelf-adaptive-systemsSelf-aware-computingSimulationStatistical_estimation_and_machine_learningdescartest_visionpositionmyown
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2ICPE'11 - 2nd Joint ACM/SPEC International Conference on Performance Engineering, Karlsruhe, Germany, March 14--16, 2011
S. Kounev. New York, NY, USA, ACM, (März 2011)
vor 5 Jahren von @samuel.kounev
alle anzeigen
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
descartes
t_proceedings
myown
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_managementSPECSimulationdescartest_proceedingsmyown
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3Predictive Performance Modeling of Virtualized Storage Systems using Optimized Statistical Regression Techniques
Q. Noorshams, D. Bruhn, S. Kounev, und R. Reussner. Proceedings of the ACM/SPEC International Conference on Performance Engineering (ICPE 2013), Seite 283--294. New York, NY, USA, ACM, (2013)
vor 5 Jahren von @samuel.kounev
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Automated_model_learning
Instrumentation_profiling_and_workload_characterization
Optimization
Performance
Prediction
Resource_management
SPA
Statistical_estimation_and_machine_learning
Storage
Virtualization
descartes
t_full
myown
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2The Storage Performance Analyzer: Measuring, Monitoring, and Modeling of I/O Performance in Virtualized Environments
Q. Noorshams, A. Busch, S. Kounev, und R. Reussner. Proceedings of the 6th ACM/SPEC International Conference on Performance Engineering, (Februar 2015)
vor 5 Jahren von @samuel.kounev
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4Using Machine Learning for Recommending Service Demand Estimation Approaches
J. Grohmann, N. Herbst, S. Spinner, und S. Kounev. Proceedings of the 8th International Conference on Cloud Computing and Services Science (CLOSER 2018), Seite 473--480. INSTICC, SciTePress, (März 2018)
vor 5 Jahren von @joh.grohmann
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3Dynamic Hybrid Forecasting for Self-Aware Systems

3Dynamic Hybrid Forecasting for Self-Aware Systems

3Dynamic Hybrid Forecasting for Self-Aware Systems

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

5The Vision of Self-Aware Performance Models

5The Vision of Self-Aware Performance Models

5The Vision of Self-Aware Performance Models

2Performance Evaluation: Metrics, Models and Benchmarks, Proceedings of the 2008 SPEC International Performance Evaluation Workshop (SIPEW 2008), Darmstadt, Germany, June 27-28

2ICPE'11 - 2nd Joint ACM/SPEC International Conference on Performance Engineering, Karlsruhe, Germany, March 14--16, 2011

4Using Machine Learning for Recommending Service Demand Estimation Approaches

4Using Machine Learning for Recommending Service Demand Estimation Approaches

4Using Machine Learning for Recommending Service Demand Estimation Approaches

3Predictive Performance Modeling of Virtualized Storage Systems using Optimized Statistical Regression Techniques

2The Storage Performance Analyzer: Measuring, Monitoring, and Modeling of I/O Performance in Virtualized Environments

2Performance Evaluation: Metrics, Models and Benchmarks, Proceedings of the 2008 SPEC International Performance Evaluation Workshop (SIPEW 2008), Darmstadt, Germany, June 27-28

5The Vision of Self-Aware Performance Models

2ICPE'11 - 2nd Joint ACM/SPEC International Conference on Performance Engineering, Karlsruhe, Germany, March 14--16, 2011

3Predictive Performance Modeling of Virtualized Storage Systems using Optimized Statistical Regression Techniques

2The Storage Performance Analyzer: Measuring, Monitoring, and Modeling of I/O Performance in Virtualized Environments

4Using Machine Learning for Recommending Service Demand Estimation Approaches

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