%0 Thesis %1 Schaefers2017 %A Schaefers, Karsten %C Am Hubland, Informatikgebäude, 97074 Würzburg, Germany %D 2017 %K Instrumentation_profiling_and_workload_characterization LibReDE Online_monitoring_and_forecasting Optimization Self-aware-computing Statistical_estimation_and_machine_learning Thesis_supervised_by_Johannes_Grohmann Thesis_supervised_by_SE_member Tool descartes se2_mastersthesis t_studentthesis %T Cluster Analysis for Resource Demand Estimation

@mastersthesis{Schaefers2017, added-at = {2020-04-14T18:06:13.000+0200}, address = {Am Hubland, Informatikgeb{\"a}ude, 97074 W{\"u}rzburg, Germany}, author = {Schaefers, Karsten}, biburl = {https://www.bibsonomy.org/bibtex/2cde1c3553bb7cf988e1e418ebd2eed31/joh.grohmann}, interhash = {ce484a8f9aa22a85264127eb712269b9}, intrahash = {cde1c3553bb7cf988e1e418ebd2eed31}, keywords = {Instrumentation_profiling_and_workload_characterization LibReDE Online_monitoring_and_forecasting Optimization Self-aware-computing Statistical_estimation_and_machine_learning Thesis_supervised_by_Johannes_Grohmann Thesis_supervised_by_SE_member Tool descartes se2_mastersthesis t_studentthesis}, month = {August}, school = {University of W{\"u}rzburg}, timestamp = {2020-10-06T11:06:11.000+0200}, title = {{Cluster Analysis for Resource Demand Estimation}}, type = {{BachelorThesis}}, year = 2017 }