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Inhalt des Dokuments

Laufende Arbeiten
Name
Titel
Betreuer
Omar Abada
Anwendung eines Infrastructure-as-a-Code Ansatzes zur Optimierung von Elementen des Konfigurationsmanagements
Kao [1]
Sinan Al-Bahrani
Collection and Analysis of IT-Service Deployment Scripts
Schmidt [2]
Oksana Behrens
Vergleich von Ansätzen zur CO2-Einsparung iin Fog-Computing-Umgebungen
Wiesner [3]
Luk Bjarne Burchard
Accelerating Braeadth-First Graph Traversals using Manycore Graphcore IPUs
Kao [4]
Ha Phuong Do
Machine Learning based Similarity Prediction of Black Box Cloud Services
Schmidt [5]
Robin Goegge
Unikernel Runtime Support in Cloud Computing
Becker [6]
Alexander Groth
Mapping of Scientific Workflow Tasks with Recommendation Systems
Bader [7]
Alireza Alamgiralem
Trace-Based Runtime Prediction of Reoccurring Data-Parallel Processing Jobs
Scheinert [8]
Fabian Sebastian Hofmann
Anomaly Detection Through Video Generation Forecasting
Schmidt [9]
Konstantin Igin
Using Graph Neural Networks for Distributed Link Prediction
Geldenhuys [10]
Puriwat Khantiviriya
Tuning the Performance of a Distributed Storage System Using Reinforcement Learning
Thamsen [11]
Marvin Kronsbein
Device Workload Prediction for Distributed Systems through System Metric Analysis
Wittkopp [12]
Peewee Manzer
Cloud Monitoring Systems of Distributed Systems for AI-based Operation
Schmidt [13]
Dominik Nafz
Online Rescheduling of Anomaly Detection Units in IoT Networks
Schmidt [14]
Eva Nguyen
The Potentials of AIOPs for large Companies - a Market Analysis Approach
Schmidt [15]
Ayaz Ali Qureshi
Closing the AIOPS Loop: Integrating Automated Remediation Engines into a Self-Healing System
Becker [16]
Musadiq Raees
Evaluation of P2P Video Streaming in Edge Computing Environments
Becker [17]
Ricardo Romanowski
Praktische Evaluation einer neuen Methode zur Authentifikation analoger IoT Sensoren
Lorenz
Matthias Seiler
Benchmarking Fault Tolerance in Distributed Stream Processing Systems
Geldenhuys [18]
Ankush Sharma
Efficient Deployment of Serverless Functions at the Edge: A Hybrid Approach
Schmidt [19]
Olga Tschudnowsky
Scheduling Recurring Distributed Data-Parallel Jobs On A Shared Cluster
Scheinert [20]
Julian Weigel
A Framework for Testing Large-Scale Distributed IoT Applications
Thamsen [21]
Jessica Woods
Adaptive Checkpointing for Distributed Stream Processing
Thamsen [22]
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