English

CloudHeatMap: Heatmap-Based Monitoring for Large-Scale Cloud Systems

Distributed, Parallel, and Cluster Computing 2025-08-05 v2 Software Engineering

Abstract

Cloud computing is essential for modern enterprises, requiring robust tools to monitor and manage Large-Scale Cloud Systems (LCS). Traditional monitoring tools often miss critical insights due to the complexity and volume of LCS telemetry data. This paper presents CloudHeatMap, a novel heatmap-based visualization tool for near-real-time monitoring of LCS health. It offers intuitive visualizations of key metrics, such as call volumes and response times, enabling operators to quickly identify performance issues. A case study on the IBM Cloud Console demonstrates the tool's effectiveness in enhancing operational monitoring and decision-making.

Keywords

Cite

@article{arxiv.2410.21092,
  title  = {CloudHeatMap: Heatmap-Based Monitoring for Large-Scale Cloud Systems},
  author = {Sarah Sohana and William Pourmajidi and John Steinbacher and Andriy Miranskyy},
  journal= {arXiv preprint arXiv:2410.21092},
  year   = {2025}
}

Comments

To appear in the proceedings of the FSE 2025 Demonstration Track

R2 v1 2026-06-28T19:38:08.266Z