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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 of Lecture Notes in Computer Science (LNCS), Heidelberg, Germany, Springer, (June 2008)
5 years ago by @se-group
show all tags
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
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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 of Lecture Notes in Computer Science (LNCS), Heidelberg, Germany, Springer, (June 2008)
5 years ago by @se-group
show all tags
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
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_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, (March 2011)
5 years ago by @se-group
show all tags
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
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_proceedings
(0)
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4Using Machine Learning for Recommending Service Demand Estimation Approaches
J. Grohmann, N. Herbst, S. Spinner, and S. Kounev. Proceedings of the 8th International Conference on Cloud Computing and Services Science (CLOSER 2018), page 473--480. INSTICC, SciTePress, (March 2018)
5 years ago by @se-group
show all tags
Automated_model_learning
GoogleResearchAward
LibReDE
Optimization
PRISMA
Prediction
Resource_management
Self-adaptive-systems
Statistical_estimation_and_machine_learning
descartes
t_visionposition
Automated_model_learningGoogleResearchAwardLibReDEOptimizationPRISMAPredictionResource_managementSelf-adaptive-systemsStatistical_estimation_and_machine_learningdescartest_visionposition
(0)
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4Using Machine Learning for Recommending Service Demand Estimation Approaches
J. Grohmann, N. Herbst, S. Spinner, and S. Kounev. Proceedings of the 8th International Conference on Cloud Computing and Services Science (CLOSER 2018), page 473--480. INSTICC, SciTePress, (March 2018)
5 years ago by @samuel.kounev
show all tags
Automated_model_learning
GoogleResearchAward
LibReDE
Optimization
PRISMA
Prediction
Resource_management
Self-adaptive-systems
Statistical_estimation_and_machine_learning
descartes
t_visionposition
myown
Automated_model_learningGoogleResearchAwardLibReDEOptimizationPRISMAPredictionResource_managementSelf-adaptive-systemsStatistical_estimation_and_machine_learningdescartest_visionpositionmyown
(0)
copydeleteadd this publication to your clipboard
4Using Machine Learning for Recommending Service Demand Estimation Approaches
J. Grohmann, N. Herbst, S. Spinner, and S. Kounev. Proceedings of the 8th International Conference on Cloud Computing and Services Science (CLOSER 2018), page 473--480. INSTICC, SciTePress, (March 2018)
5 years ago by @nikolas.herbst
show all tags
Automated_model_learning
GoogleResearchAward
LibReDE
Optimization
PRISMA
Prediction
Resource_management
Self-adaptive-systems
Statistical_estimation_and_machine_learning
descartes
t_visionposition
myown
Automated_model_learningGoogleResearchAwardLibReDEOptimizationPRISMAPredictionResource_managementSelf-adaptive-systemsStatistical_estimation_and_machine_learningdescartest_visionpositionmyown
(0)
copydeleteadd this publication to your clipboard
5Self-Tuning Resource Demand Estimation
J. Grohmann, N. Herbst, S. Spinner, and S. Kounev. Proceedings of the 14th IEEE International Conference on Autonomic Computing (ICAC 2017), page 21--26. (July 2017)
5 years ago by @samuel.kounev
show all tags
Automated_model_learning
Instrumentation_profiling_and_workload_characterization
LibReDE
Multi-criteria_optimization
Online_monitoring_and_forecasting
Optimization
Resource_management
Self-adaptive-systems
Self-aware-computing
Statistical_estimation_and_machine_learning
Tool
descartes
t_short
myown
Automated_model_learningInstrumentation_profiling_and_workload_characterizationLibReDEMulti-criteria_optimizationOnline_monitoring_and_forecastingOptimizationResource_managementSelf-adaptive-systemsSelf-aware-computingStatistical_estimation_and_machine_learningTooldescartest_shortmyown
(0)
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5Self-Tuning Resource Demand Estimation
J. Grohmann, N. Herbst, S. Spinner, and S. Kounev. Proceedings of the 14th IEEE International Conference on Autonomic Computing (ICAC 2017), page 21--26. (July 2017)
5 years ago by @se-group
show all tags
Automated_model_learning
Instrumentation_profiling_and_workload_characterization
LibReDE
Multi-criteria_optimization
Online_monitoring_and_forecasting
Optimization
Resource_management
Self-adaptive-systems
Self-aware-computing
Statistical_estimation_and_machine_learning
Tool
descartes
t_short
Automated_model_learningInstrumentation_profiling_and_workload_characterizationLibReDEMulti-criteria_optimizationOnline_monitoring_and_forecastingOptimizationResource_managementSelf-adaptive-systemsSelf-aware-computingStatistical_estimation_and_machine_learningTooldescartest_short
(0)
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5Self-Tuning Resource Demand Estimation
J. Grohmann, N. Herbst, S. Spinner, and S. Kounev. Proceedings of the 14th IEEE International Conference on Autonomic Computing (ICAC 2017), page 21--26. (July 2017)
5 years ago by @nikolas.herbst
show all tags
Automated_model_learning
Instrumentation_profiling_and_workload_characterization
LibReDE
Multi-criteria_optimization
Online_monitoring_and_forecasting
Optimization
Resource_management
Self-adaptive-systems
Self-aware-computing
Statistical_estimation_and_machine_learning
Tool
descartes
t_short
myown
Automated_model_learningInstrumentation_profiling_and_workload_characterizationLibReDEMulti-criteria_optimizationOnline_monitoring_and_forecastingOptimizationResource_managementSelf-adaptive-systemsSelf-aware-computingStatistical_estimation_and_machine_learningTooldescartest_shortmyown
(0)
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3Predictive Performance Modeling of Virtualized Storage Systems using Optimized Statistical Regression Techniques
Q. Noorshams, D. Bruhn, S. Kounev, and R. Reussner. Proceedings of the ACM/SPEC International Conference on Performance Engineering (ICPE 2013), page 283--294. New York, NY, USA, ACM, (2013)
5 years ago by @se-group
show all tags
Automated_model_learning
Instrumentation_profiling_and_workload_characterization
Optimization
Performance
Prediction
Resource_management
SPA
Statistical_estimation_and_machine_learning
Storage
Virtualization
descartes
t_full
Automated_model_learningInstrumentation_profiling_and_workload_characterizationOptimizationPerformancePredictionResource_managementSPAStatistical_estimation_and_machine_learningStorageVirtualizationdescartest_full
(0)
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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 of Lecture Notes in Computer Science (LNCS), Heidelberg, Germany, Springer, (June 2008)
5 years ago by @samuel.kounev
show all tags
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
(0)
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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, (March 2011)
5 years ago by @samuel.kounev
show all tags
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
(0)
copydeleteadd this publication to your clipboard
3Predictive Performance Modeling of Virtualized Storage Systems using Optimized Statistical Regression Techniques
Q. Noorshams, D. Bruhn, S. Kounev, and R. Reussner. Proceedings of the ACM/SPEC International Conference on Performance Engineering (ICPE 2013), page 283--294. New York, NY, USA, ACM, (2013)
5 years ago by @samuel.kounev
show all tags
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
Automated_model_learningInstrumentation_profiling_and_workload_characterizationOptimizationPerformancePredictionResource_managementSPAStatistical_estimation_and_machine_learningStorageVirtualizationdescartest_fullmyown
(0)
copydeleteadd this publication to your clipboard
4Using Machine Learning for Recommending Service Demand Estimation Approaches
J. Grohmann, N. Herbst, S. Spinner, and S. Kounev. Proceedings of the 8th International Conference on Cloud Computing and Services Science (CLOSER 2018), page 473--480. INSTICC, SciTePress, (March 2018)
5 years ago by @joh.grohmann
show all tags
Automated_model_learning
GoogleResearchAward
LibReDE
Optimization
PRISMA
Prediction
Resource_management
Self-adaptive-systems
Statistical_estimation_and_machine_learning
descartes
t_visionposition
myown
Automated_model_learningGoogleResearchAwardLibReDEOptimizationPRISMAPredictionResource_managementSelf-adaptive-systemsStatistical_estimation_and_machine_learningdescartest_visionpositionmyown
(0)
copydeleteadd this publication to your clipboard
5Self-Tuning Resource Demand Estimation
J. Grohmann, N. Herbst, S. Spinner, and S. Kounev. Proceedings of the 14th IEEE International Conference on Autonomic Computing (ICAC 2017), page 21--26. (July 2017)
5 years ago by @joh.grohmann
show all tags
Automated_model_learning
Instrumentation_profiling_and_workload_characterization
LibReDE
Multi-criteria_optimization
Online_monitoring_and_forecasting
Optimization
Resource_management
Self-adaptive-systems
Self-aware-computing
Statistical_estimation_and_machine_learning
Tool
descartes
t_short
myown
Automated_model_learningInstrumentation_profiling_and_workload_characterizationLibReDEMulti-criteria_optimizationOnline_monitoring_and_forecastingOptimizationResource_managementSelf-adaptive-systemsSelf-aware-computingStatistical_estimation_and_machine_learningTooldescartest_shortmyown
(0)
copydeleteadd this publication to your clipboard

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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

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

5Self-Tuning Resource Demand Estimation

5Self-Tuning Resource Demand Estimation

5Self-Tuning Resource Demand Estimation

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

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

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

4Using Machine Learning for Recommending Service Demand Estimation Approaches

5Self-Tuning Resource Demand Estimation

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