All Stories

  1. Uncertainty Interaction in Software-Intensive Systems: A Community Roadmap
  2. Leveraging LLMs for Alert Summarization and Mitigation Plan Generation
  3. An Evaluation Study of Generative AI Systems: Framework-Aware Performance Under Real-World Constraints
  4. AIPerfLLM: 4th International Workshop on Performance Optimization in the LLM World
  5. Demo of LearnedWMP: Workload Memory Prediction Using Deep Query Template Representations
  6. AIPerfLLM: 3rd International Workshop on Performance Optimization in the LLM world
  7. KubePlaybook: A Repository of Ansible Playbooks for Kubernetes Auto-Remediation with LLMs
  8. AIPerf'24: 2nd International Workshop on Artificial Intelligence for Performance Modeling, Prediction, and Control
  9. Closing the Loop: Building Self-Adaptive Software for Continuous Performance Engineering
  10. Disambiguating Performance Anomalies from Workload Changes in Cloud-Native Applications
  11. System Failure Prediction and Root Cause Identification
  12. A Learning-Based Caching Mechanism for Edge Content Delivery
  13. Fault detection in sensors using single and multi-channel weighted convolutional neural networks