Daniel Grillmeyer

ORCID: 0009-0009-0997-4227
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About
Contact & Profiles
Research Areas
  • Software System Performance and Reliability
  • Cloud Computing and Resource Management
  • Software Reliability and Analysis Research
  • IoT and Edge/Fog Computing
  • Traffic Prediction and Management Techniques
  • Time Series Analysis and Forecasting
  • Anomaly Detection Techniques and Applications

University of Würzburg
2024-2025

As the market for cloud computing continues to grow, an increasing number of users are deploying applications as microservices. The shift introduces unique challenges in identifying and addressing performance issues, particularly within large complex infrastructures. To address this challenge, we propose a methodology that unveils temporal deviations microservices by clustering containers based on their characteristics at different time intervals. Showcasing our Alibaba dataset, found both...

10.1145/3629527.3651843 article EN other-oa 2024-05-07
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