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Available Theses
In the following you find currently available theses. The abbreviations BT and MT indicate whether the respective topic is intended for a bachelor's or a master's thesis. However, most of the topics are scalable and can be either expanded or narrowed down after consultation with the staff member.
If you are interested in one of the topics described below or would like to propose a related topic, please contact the respective person.
We strongly welcome individual modifications of the described topics and are open for additional suggestions. Please contact lehre@cit.tu-berlin.de [1] for any questions and suggestions.
- BA: Reusable Performance Models for Distributed Dataflows [2]
- BA: Federated learning of anomaly detection models for cloud monitoring [3]
- MA: Reusable Performance Models for Distributed Dataflows [4]
- MA: Federated learning of anomaly detection models for cloud monitoring [5]
- MA: Renewable-Aware Edge, Fog and Cloud Computing [6]
- MA: Cyber-Physical Testbed for Urban Water Networks [7]
- MA: Hybrid Co-Simulation Testbed for Distributed Applications [8]
- MA: Autocalibration of Virtual Resources in Co-Simulations [9]
- MA: Adaptive Resource Management for Data-Parallel Batch Jobs [10]
- MA: Adaptive Resource Management for Stream Processing Jobs [11]
- MA: Adaptive Resource Management for Distributed Machine Learning [12]
- MA: Adaptive Fault Tolerance for Distributed Dataflow Systems [13]
parameter/en/font4/minhilfe/id/2741/?no_cache=1&ask
_mail=YaL14wALKEOc%2BoOmHwnq4ejg9y5jJgsLbkGByPYBWbc%3D&
amp;ask_name=LEHRE
_theses/ba_reusable_performance_models_for_distributed_
dataflows/parameter/en/font4/minhilfe/
_theses/ba_federated_learning_of_anomaly_detection_mode
ls_for_cloud_monitoring/parameter/en/font4/minhilfe/
_theses/ma_reusable_performance_models_for_distributed_
dataflows/parameter/en/font4/minhilfe/
_theses/ma_federated_learning_of_anomaly_detection_mode
ls_for_cloud_monitoring/parameter/en/font4/minhilfe/
_theses/ma_renewable_aware_edge_fog_and_cloud_computing
/parameter/en/font4/minhilfe/
_theses/ma_cyber_physical_testbed_for_urban_water_netwo
rks/parameter/en/font4/minhilfe/
_theses/ma_hybrid_co_simulation_testbed_for_distributed
_applications/parameter/en/font4/minhilfe/
_theses/ma_autocalibration_of_virtual_resources_in_co_s
imulations/parameter/en/font4/minhilfe/
e_theses/ma_adaptive_resource_management_for_batch_jobs
/parameter/en/font4/minhilfe/
e_theses/ma_adaptive_resource_management_for_stream_pro
cessing_jobs/parameter/en/font4/minhilfe/
e_theses/ma_adaptive_resource_management_for_distribute
d_machine_learning/parameter/en/font4/minhilfe/
e_theses/ma_adaptive_fault_tolerance_for_distributed_da
taflow_systems/parameter/en/font4/minhilfe/
/parameter/en/font4/minhilfe/id/2741/?no_cache=1&as
k_mail=YaL14wAL%2F6yun1Z1sy4lExPX5tb%2BPxxX%2FPTIgFf7qC
I%3D&ask_name=Service%40DOS
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