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6On Learning Parametric Dependencies from Monitoring Data
J. Grohmann, S. Eismann, und S. Kounev. Proceedings of the 10th Symposium on Software Performance 2019 (SSP'19), (November 2019)
vor 5 Jahren von @se-group
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6On Learning Parametric Dependencies from Monitoring Data
J. Grohmann, S. Eismann, und S. Kounev. Proceedings of the 10th Symposium on Software Performance 2019 (SSP'19), (November 2019)
vor 5 Jahren von @samuel.kounev
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Prediction
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6On Learning Parametric Dependencies from Monitoring Data
J. Grohmann, S. Eismann, und S. Kounev. Proceedings of the 10th Symposium on Software Performance 2019 (SSP'19), (November 2019)
vor 5 Jahren von @simon.eismann
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Performance
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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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Analytical_and_simulation-based_analysisAutomated_model_learningDMLOnline_monitoring_and_forecastingOptimizationPerformancePredictionSelf-adaptive-systemsSelf-aware-computingSimulationStatistical_estimation_and_machine_learningdescartest_visionposition
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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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myown
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3Self-Adaptive Workload Classification and Forecasting for Proactive Resource Provisioning
N. Herbst, N. Huber, S. Kounev, und E. Amrehn. Concurrency and Computation - Practice and Experience, John Wiley and Sons, Ltd., 26 (12): 2053--2078 (März 2014)
vor 5 Jahren von @se-group
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3Self-Adaptive Workload Classification and Forecasting for Proactive Resource Provisioning
N. Herbst, N. Huber, S. Kounev, und E. Amrehn. Concurrency and Computation - Practice and Experience, John Wiley and Sons, Ltd., 26 (12): 2053--2078 (März 2014)
vor 5 Jahren von @samuel.kounev
alle anzeigen
Application_quality_of_service_management
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Elasticity
Instrumentation_profiling_and_workload_characterization
Online_monitoring_and_forecasting
Performance
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Self-adaptive-systems
Self-aware-computing
Statistical_estimation_and_machine_learning
Tool
WCF
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myown
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4Self-Adaptive Workload Classification and Forecasting for Proactive Resource Provisioning
N. Herbst, N. Huber, S. Kounev, und E. Amrehn. Proceedings of the 4th ACM/SPEC International Conference on Performance Engineering (ICPE 2013), Seite 187--198. New York, NY, USA, ACM, (April 2013)
vor 5 Jahren von @samuel.kounev
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Application_quality_of_service_management
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Instrumentation_profiling_and_workload_characterization
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Prediction
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Self-adaptive-systems
Self-aware-computing
Statistical_estimation_and_machine_learning
Tool
WCF
descartes
t_full
myown
Application_quality_of_service_managementAutomated_model_learningElasticityInstrumentation_profiling_and_workload_characterizationOnline_monitoring_and_forecastingPerformancePredictionResource_managementSelf-adaptive-systemsSelf-aware-computingStatistical_estimation_and_machine_learningToolWCFdescartest_fullmyown
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4Self-Adaptive Workload Classification and Forecasting for Proactive Resource Provisioning
N. Herbst, N. Huber, S. Kounev, und E. Amrehn. Proceedings of the 4th ACM/SPEC International Conference on Performance Engineering (ICPE 2013), Seite 187--198. New York, NY, USA, ACM, (April 2013)
vor 5 Jahren von @se-group
alle anzeigen
Application_quality_of_service_management
Automated_model_learning
Elasticity
Instrumentation_profiling_and_workload_characterization
Online_monitoring_and_forecasting
Performance
Prediction
Resource_management
Self-adaptive-systems
Self-aware-computing
Statistical_estimation_and_machine_learning
Tool
WCF
descartes
t_full
Application_quality_of_service_managementAutomated_model_learningElasticityInstrumentation_profiling_and_workload_characterizationOnline_monitoring_and_forecastingPerformancePredictionResource_managementSelf-adaptive-systemsSelf-aware-computingStatistical_estimation_and_machine_learningToolWCFdescartest_full
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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 @se-group
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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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Automated_model_learning
GoogleResearchAward
LibReDE
Optimization
PRISMA
Prediction
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Self-adaptive-systems
Statistical_estimation_and_machine_learning
descartes
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myown
Automated_model_learningGoogleResearchAwardLibReDEOptimizationPRISMAPredictionResource_managementSelf-adaptive-systemsStatistical_estimation_and_machine_learningdescartest_visionpositionmyown
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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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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
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6On Learning Parametric Dependencies from Monitoring Data
J. Grohmann, S. Eismann, und S. Kounev. Proceedings of the 10th Symposium on Software Performance 2019 (SSP'19), (November 2019)
vor 5 Jahren von @joh.grohmann
alle anzeigen
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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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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3Online Learning of Run-time Models for Performance and Resource Management in Data Centers
J. Walter, A. Marco, S. Spinner, P. Inverardi, und S. Kounev. Self-Aware Computing Systems, Springer Verlag, Berlin Heidelberg, Germany, (2017)
vor 5 Jahren von @samuel.kounev
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Dagstuhl_Book_Chapter
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Survey
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3Runtime Vertical Scaling of Virtualized Applications via Online Model Estimation
S. Spinner, S. Kounev, X. Zhu, L. Lu, M. Uysal, A. Holler, und R. Griffith. Proceedings of the 2014 IEEE Eighth International Conference on Self-Adaptive and Self-Organizing Systems (SASO), Seite 157--166. IEEE, (September 2014)Acceptance Rate (Full Papers): 26%.
vor 5 Jahren von @samuel.kounev
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Virtualization
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Analytical_and_simulation-based_analysisApplication_quality_of_service_managementAutomated_model_learningElasticityInstrumentation_profiling_and_workload_characterizationPerformancePredictionResource_managementSelf-adaptive-systemsSelf-aware-computingStatistical_estimation_and_machine_learningVirtualizationdescartest_fullmyown
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3Self-Adaptive Workload Classification and Forecasting for Proactive Resource Provisioning
N. Herbst, N. Huber, S. Kounev, und E. Amrehn. Concurrency and Computation - Practice and Experience, John Wiley and Sons, Ltd., 26 (12): 2053--2078 (März 2014)
vor 5 Jahren von @nikolas.herbst
alle anzeigen
Application_quality_of_service_management
Automated_model_learning
Elasticity
Instrumentation_profiling_and_workload_characterization
Online_monitoring_and_forecasting
Performance
Prediction
Resource_management
Self-adaptive-systems
Self-aware-computing
Statistical_estimation_and_machine_learning
Tool
WCF
descartes
t_journalmagazine
Application_quality_of_service_managementAutomated_model_learningElasticityInstrumentation_profiling_and_workload_characterizationOnline_monitoring_and_forecastingPerformancePredictionResource_managementSelf-adaptive-systemsSelf-aware-computingStatistical_estimation_and_machine_learningToolWCFdescartest_journalmagazine
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4Self-Adaptive Workload Classification and Forecasting for Proactive Resource Provisioning
N. Herbst, N. Huber, S. Kounev, und E. Amrehn. Proceedings of the 4th ACM/SPEC International Conference on Performance Engineering (ICPE 2013), Seite 187--198. New York, NY, USA, ACM, (April 2013)
vor 5 Jahren von @nikolas.herbst
alle anzeigen
Application_quality_of_service_management
Automated_model_learning
Elasticity
Instrumentation_profiling_and_workload_characterization
Online_monitoring_and_forecasting
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Statistical_estimation_and_machine_learning
Tool
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Application_quality_of_service_managementAutomated_model_learningElasticityInstrumentation_profiling_and_workload_characterizationOnline_monitoring_and_forecastingPerformancePredictionResource_managementSelf-adaptive-systemsSelf-aware-computingStatistical_estimation_and_machine_learningToolWCFdescartest_full
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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
alle anzeigen
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LibReDE
Optimization
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Prediction
Resource_management
Self-adaptive-systems
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myown
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6On Learning Parametric Dependencies from Monitoring Data

6On Learning Parametric Dependencies from Monitoring Data

6On Learning Parametric Dependencies from Monitoring Data

5The Vision of Self-Aware Performance Models

5The Vision of Self-Aware Performance Models

5The Vision of Self-Aware Performance Models

3Self-Adaptive Workload Classification and Forecasting for Proactive Resource Provisioning

3Self-Adaptive Workload Classification and Forecasting for Proactive Resource Provisioning

4Self-Adaptive Workload Classification and Forecasting for Proactive Resource Provisioning

4Self-Adaptive Workload Classification and Forecasting for Proactive Resource Provisioning

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

6On Learning Parametric Dependencies from Monitoring Data

5The Vision of Self-Aware Performance Models

3Online Learning of Run-time Models for Performance and Resource Management in Data Centers

3Runtime Vertical Scaling of Virtualized Applications via Online Model Estimation

3Self-Adaptive Workload Classification and Forecasting for Proactive Resource Provisioning

4Self-Adaptive Workload Classification and Forecasting for Proactive Resource Provisioning

4Using Machine Learning for Recommending Service Demand Estimation Approaches

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