Simon > statistical_estimation_and_machine_learning

публикации (спрятать)69
показать
всё
только публикации
публикации на страницу
5
10
20
50
100
расширенный...
RSS
BibTeX
RDF
дальше...

7SARDE: A Framework for Continuous and Self-Adaptive Resource Demand Estimation
J. Grohmann, S. Eismann, A. Bauer, S. Spinner, J. Blum, N. Herbst, и S. Kounev. ACM Transactions on Autonomous and Adaptive Systems, (июня 2021)
3 лет назад , @andre.bauer
myown
descartes
algorithms
resource
Self-adaptive
learning
demand
performance
self-tuning
estimation
systems
optimization
statistical_estimation_and_machine_learning
machine
prediction
t_journalmagazine
myowndescartesalgorithmsresourceSelf-adaptivelearningdemandperformanceself-tuningestimationsystemsoptimizationstatistical_estimation_and_machine_learningmachinepredictiont_journalmagazine
копироватьудалитьдобавить публикацию в буфер
7SARDE: A Framework for Continuous and Self-Adaptive Resource Demand Estimation
J. Grohmann, S. Eismann, A. Bauer, S. Spinner, J. Blum, N. Herbst, и S. Kounev. ACM Transactions on Autonomous and Adaptive Systems, (июня 2021)
3 лет назад , @samuel.kounev
myown
descartes
algorithms
resource
Self-adaptive
learning
demand
performance
self-tuning
estimation
systems
optimization
statistical_estimation_and_machine_learning
machine
prediction
t_journalmagazine
myowndescartesalgorithmsresourceSelf-adaptivelearningdemandperformanceself-tuningestimationsystemsoptimizationstatistical_estimation_and_machine_learningmachinepredictiont_journalmagazine
копироватьудалитьдобавить публикацию в буфер
7SARDE: A Framework for Continuous and Self-Adaptive Resource Demand Estimation
J. Grohmann, S. Eismann, A. Bauer, S. Spinner, J. Blum, N. Herbst, и S. Kounev. ACM Transactions on Autonomous and Adaptive Systems, (июня 2021)
3 лет назад , @simon.eismann
myown
descartes
algorithms
resource
Self-adaptive
learning
demand
performance
self-tuning
estimation
systems
optimization
statistical_estimation_and_machine_learning
machine
prediction
t_journalmagazine
myowndescartesalgorithmsresourceSelf-adaptivelearningdemandperformanceself-tuningestimationsystemsoptimizationstatistical_estimation_and_machine_learningmachinepredictiont_journalmagazine
копироватьудалитьдобавить публикацию в буфер
7SARDE: A Framework for Continuous and Self-Adaptive Resource Demand Estimation
J. Grohmann, S. Eismann, A. Bauer, S. Spinner, J. Blum, N. Herbst, и S. Kounev. ACM Transactions on Autonomous and Adaptive Systems, (июня 2021)
3 лет назад , @nikolas.herbst
myown
descartes
algorithms
resource
Self-adaptive
learning
demand
performance
self-tuning
estimation
systems
optimization
statistical_estimation_and_machine_learning
machine
prediction
t_journalmagazine
myowndescartesalgorithmsresourceSelf-adaptivelearningdemandperformanceself-tuningestimationsystemsoptimizationstatistical_estimation_and_machine_learningmachinepredictiont_journalmagazine
копироватьудалитьдобавить публикацию в буфер
7SARDE: A Framework for Continuous and Self-Adaptive Resource Demand Estimation
J. Grohmann, S. Eismann, A. Bauer, S. Spinner, J. Blum, N. Herbst, и S. Kounev. ACM Transactions on Autonomous and Adaptive Systems, (июня 2021)
3 лет назад , @se-group
descartes
algorithms
resource
Self-adaptive
learning
demand
performance
self-tuning
estimation
systems
optimization
statistical_estimation_and_machine_learning
machine
prediction
t_journalmagazine
descartesalgorithmsresourceSelf-adaptivelearningdemandperformanceself-tuningestimationsystemsoptimizationstatistical_estimation_and_machine_learningmachinepredictiont_journalmagazine
копироватьудалитьдобавить публикацию в буфер
7SARDE: A Framework for Continuous and Self-Adaptive Resource Demand Estimation
J. Grohmann, S. Eismann, A. Bauer, S. Spinner, J. Blum, N. Herbst, и S. Kounev. ACM Transactions on Autonomous and Adaptive Systems, (июня 2021)
3 лет назад , @joh.grohmann
myown
select
descartes
algorithms
resource
Self-adaptive
learning
demand
performance
self-tuning
estimation
systems
optimization
statistical_estimation_and_machine_learning
machine
prediction
t_journalmagazine
myownselectdescartesalgorithmsresourceSelf-adaptivelearningdemandperformanceself-tuningestimationsystemsoptimizationstatistical_estimation_and_machine_learningmachinepredictiont_journalmagazine
копироватьудалитьдобавить публикацию в буфер
8SuanMing: Explainable Prediction of Performance Degradations in Microservice Applications
J. Grohmann, M. Straesser, A. Chalbani, S. Eismann, Y. Arian, N. Herbst, N. Peretz, и S. Kounev. Proceedings of the 12th ACM/SPEC International Conference on Performance Engineering (ICPE), New York, NY, USA, ACM, (апреля 2021)Acceptance Rate: 29%.
4 лет назад , @martinstraesser
myown
t_full
descartes
statistical_estimation_and_machine_learning
prediction
performance
myownt_fulldescartesstatistical_estimation_and_machine_learningpredictionperformance
копироватьудалитьдобавить публикацию в буфер
8SuanMing: Explainable Prediction of Performance Degradations in Microservice Applications
J. Grohmann, M. Straesser, A. Chalbani, S. Eismann, Y. Arian, N. Herbst, N. Peretz, и S. Kounev. Proceedings of the 12th ACM/SPEC International Conference on Performance Engineering (ICPE), New York, NY, USA, ACM, (апреля 2021)Acceptance Rate: 29%.
4 лет назад , @samuel.kounev
myown
t_full
descartes
statistical_estimation_and_machine_learning
prediction
performance
myownt_fulldescartesstatistical_estimation_and_machine_learningpredictionperformance
копироватьудалитьдобавить публикацию в буфер
8SuanMing: Explainable Prediction of Performance Degradations in Microservice Applications
J. Grohmann, M. Straesser, A. Chalbani, S. Eismann, Y. Arian, N. Herbst, N. Peretz, и S. Kounev. Proceedings of the 12th ACM/SPEC International Conference on Performance Engineering (ICPE), New York, NY, USA, ACM, (апреля 2021)Acceptance Rate: 29%.
4 лет назад , @simon.eismann
myown
t_full
descartes
statistical_estimation_and_machine_learning
prediction
performance
myownt_fulldescartesstatistical_estimation_and_machine_learningpredictionperformance
копироватьудалитьдобавить публикацию в буфер
8SuanMing: Explainable Prediction of Performance Degradations in Microservice Applications
J. Grohmann, M. Straesser, A. Chalbani, S. Eismann, Y. Arian, N. Herbst, N. Peretz, и S. Kounev. Proceedings of the 12th ACM/SPEC International Conference on Performance Engineering (ICPE), New York, NY, USA, ACM, (апреля 2021)Acceptance Rate: 29%.
4 лет назад , @nikolas.herbst
myown
t_full
descartes
statistical_estimation_and_machine_learning
prediction
performance
myownt_fulldescartesstatistical_estimation_and_machine_learningpredictionperformance
копироватьудалитьдобавить публикацию в буфер
8SuanMing: Explainable Prediction of Performance Degradations in Microservice Applications
J. Grohmann, M. Straesser, A. Chalbani, S. Eismann, Y. Arian, N. Herbst, N. Peretz, и S. Kounev. Proceedings of the 12th ACM/SPEC International Conference on Performance Engineering (ICPE), New York, NY, USA, ACM, (апреля 2021)Acceptance Rate: 29%.
4 лет назад , @se-group
t_full
descartes
statistical_estimation_and_machine_learning
prediction
performance
t_fulldescartesstatistical_estimation_and_machine_learningpredictionperformance
копироватьудалитьдобавить публикацию в буфер
8SuanMing: Explainable Prediction of Performance Degradations in Microservice Applications
J. Grohmann, M. Straesser, A. Chalbani, S. Eismann, Y. Arian, N. Herbst, N. Peretz, и S. Kounev. Proceedings of the 12th ACM/SPEC International Conference on Performance Engineering (ICPE), New York, NY, USA, ACM, (апреля 2021)Acceptance Rate: 29%.
4 лет назад , @joh.grohmann
myown
select
t_full
descartes
statistical_estimation_and_machine_learning
prediction
performance
myownselectt_fulldescartesstatistical_estimation_and_machine_learningpredictionperformance
копироватьудалитьдобавить публикацию в буфер
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
myown
t_full
performance_modeling
descartes
statistical_estimation_and_machine_learning
prediction
performance
automated_model_learning
myownt_fullperformance_modelingdescartesstatistical_estimation_and_machine_learningpredictionperformanceautomated_model_learning
копироватьудалитьдобавить публикацию в буфер
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
myown
t_full
performance_modeling
descartes
statistical_estimation_and_machine_learning
prediction
performance
automated_model_learning
myownt_fullperformance_modelingdescartesstatistical_estimation_and_machine_learningpredictionperformanceautomated_model_learning
копироватьудалитьдобавить публикацию в буфер
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
myown
t_full
performance_modeling
descartes
statistical_estimation_and_machine_learning
prediction
performance
automated_model_learning
myownt_fullperformance_modelingdescartesstatistical_estimation_and_machine_learningpredictionperformanceautomated_model_learning
копироватьудалитьдобавить публикацию в буфер
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
myown
select
t_full
performance_modeling
descartes
statistical_estimation_and_machine_learning
prediction
performance
automated_model_learning
myownselectt_fullperformance_modelingdescartesstatistical_estimation_and_machine_learningpredictionperformanceautomated_model_learning
копироватьудалитьдобавить публикацию в буфер
1Evaluating Approaches to Resource Demand Estimation
S. Spinner. Karlsruhe Institute of Technology (KIT), Am Fasanengarten 5, 76131 Karlsruhe, Germany, (июля 2011)Best Graduate Award from the Faculty of Informatics.
5 лет назад , @se-group
Thesis_supervised_by_SE_member
Statistical_estimation_and_machine_learning
se2_mastersthesis
Performance
descartes
Automated_model_learning
Thesis_supervised_by_Fabian_Brosig
LibReDE
QPME_Bibliography
Thesis_supervised_by_SE_memberStatistical_estimation_and_machine_learningse2_mastersthesisPerformancedescartesAutomated_model_learningThesis_supervised_by_Fabian_BrosigLibReDEQPME_Bibliography
копироватьудалитьдобавить публикацию в буфер
2Flexible Performance Predictions at Run-time
S. Eismann. HotCloudperf 2018, (апреля 2018)
5 лет назад , @se-group
Statistical_estimation_and_machine_learning
DML
Performance
se2_talk
Simulation
t_talk
Analytical_and_simulation-based_analysis
descartes
Prediction
Automated_model_learning
Meta-models
Statistical_estimation_and_machine_learningDMLPerformancese2_talkSimulationt_talkAnalytical_and_simulation-based_analysisdescartesPredictionAutomated_model_learningMeta-models
копироватьудалитьдобавить публикацию в буфер
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
Statistical_estimation_and_machine_learning
Performance
descartes
Self-aware-computing
Prediction
Automated_model_learning
Self-adaptive-systems
t_workshop
Statistical_estimation_and_machine_learningPerformancedescartesSelf-aware-computingPredictionAutomated_model_learningSelf-adaptive-systemst_workshop
копироватьудалитьдобавить публикацию в буфер
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
Statistical_estimation_and_machine_learning
myown
Performance
descartes
Self-aware-computing
Prediction
Automated_model_learning
Self-adaptive-systems
t_workshop
Statistical_estimation_and_machine_learningmyownPerformancedescartesSelf-aware-computingPredictionAutomated_model_learningSelf-adaptive-systemst_workshop
копироватьудалитьдобавить публикацию в буфер

&lang;&lang;
⟨
1
2
3
&rang;
⟩⟩

BibSonomy

публикации (спрятать)69
показать
всё
только публикации
публикации на страницу
5
10
20
50
100
расширенный...
RSS
BibTeX
RDF
дальше...

7SARDE: A Framework for Continuous and Self-Adaptive Resource Demand Estimation

7SARDE: A Framework for Continuous and Self-Adaptive Resource Demand Estimation

7SARDE: A Framework for Continuous and Self-Adaptive Resource Demand Estimation

7SARDE: A Framework for Continuous and Self-Adaptive Resource Demand Estimation

7SARDE: A Framework for Continuous and Self-Adaptive Resource Demand Estimation

7SARDE: A Framework for Continuous and Self-Adaptive Resource Demand Estimation

8SuanMing: Explainable Prediction of Performance Degradations in Microservice Applications

8SuanMing: Explainable Prediction of Performance Degradations in Microservice Applications

8SuanMing: Explainable Prediction of Performance Degradations in Microservice Applications

8SuanMing: Explainable Prediction of Performance Degradations in Microservice Applications

8SuanMing: Explainable Prediction of Performance Degradations in Microservice Applications

8SuanMing: Explainable Prediction of Performance Degradations in Microservice Applications

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

1Evaluating Approaches to Resource Demand Estimation

2Flexible Performance Predictions at Run-time

6On Learning Parametric Dependencies from Monitoring Data

6On Learning Parametric Dependencies from Monitoring Data

сходные по теме тэги

тэги

публикации (спрятать)69 показатьвсётолько публикациипубликации на страницу5102050100 расширенный... RSSBibTeXRDFдальше...

сходные по теме тэги

тэги

публикации (спрятать)69
показать
всё
только публикации
публикации на страницу
5
10
20
50
100
расширенный...
RSS
BibTeX
RDF
дальше...