14 citations · 14 across the 3 of their papers we have counts for
4 papers
ClouDens: Operational Context-Aware Anomaly Detection for Large-scale Cloud System Monitoring
Thu T. H. Doan, Mohammad Saiful Islam, Andriy Miranskyy +3
With the rapid growth of cloud computing infrastructures in scale and complexity, network monitoring for Large-scale Cloud Systems (LCSs) has become increasingly challenging, requi…
Benchmarking Anomaly Detection Across Heterogeneous Cloud Telemetry Datasets
Mohammad Saiful Islam, Andriy Miranskyy
Anomaly detection is important for keeping cloud systems reliable and stable. Deep learning has improved time-series anomaly detection, but most models are evaluated on one dataset…
Anomaly Detection in Large-Scale Cloud Systems: An Industry Case and Dataset
Mohammad Saiful Islam, Mohamed Sami Rakha, William Pourmajidi +3
As Large-Scale Cloud Systems (LCS) become increasingly complex, effective anomaly detection is critical for ensuring system reliability and performance. However, there is a shortag…
CloudHeatMap: Heatmap-Based Monitoring for Large-Scale Cloud Systems
Sarah Sohana, William Pourmajidi, John Steinbacher +1
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…