Mapreduce preprocess of big graphs for rapid connected components detection

R Abdolazimi, M Heidari… - 2022 IEEE 12th …, 2022 - ieeexplore.ieee.org
Paramount and vast applications such as social networks deal with big graphs. For this
reason, big graph analysis and processing is currently a necessity. Detection of connected …

Redfish-Nagios: A Scalable Out-of-Band Data Center Monitoring Framework Based on Redfish Telemetry Model

G Ali, J Hass, A Sill, E Hojati, T Dang… - … International Workshop on …, 2022 - dl.acm.org
Current monitoring tools for high-performance computing (HPC) systems are often inefficient
in terms of scalability and interfacing with modern data center management APIs. This …

A Comprehensive Monitoring, Visualization, and Management System for Green Data Centers

E Hojati, A Sill, S Mengel, SMB Sayedi… - IEEE Systems …, 2025 - ieeexplore.ieee.org
Maintaining service reliability, achieving sustainability, and ensuring energy efficiency are
crucial for green high-performance computing systems. Balancing these factors is a key …

Automating CPU dynamic thermal control for high performance computing

G Ali, L Wofford, C Turner… - 2022 22nd IEEE …, 2022 - ieeexplore.ieee.org
In a production high-performance computing (HPC) data center, numerous factors, including
workload compute in-tensity, cooling infrastructure failure, and the use of economized …

A Scalable, Distributed Monitoring Framework for HPC Clusters Using Redfish-Nagios Integration

G Ali, J Hass, A Sill, E Hojati, T Dang, Y Chen - 2023 - researchsquare.com
Current monitoring tools for high-performance computing (HPC) systems are often inefficient
in terms of scalability and interfacing with modern data center management APIs. This …