Publications

Tom Richard Vargis, and Siavash Ghiasvand. A Light-weight and Unsupervised Method for Near Real-time Behavioral Analysis using Operational Data Measurement. The International Conference for High Performance Computing, Networking, Storage, and Analysis, Dallas, Texas, USA, January 2022. [PUMA: Parallel, myOwn from:ghiasvan Learning and Computer Cluster Distributed, Computing, Machine Science] URL

Siavash Ghiasvand, and Florina M. Ciorba. Anomaly Detection in High Performance Computers: A Vicinity Perspective. 2019 18th International Symposium on Parallel and Distributed Computing (ISPDC), 112--120, Amsterdam, Netherlands, June 2019. [PUMA: detection sensors, vicinity, Resource performance system, Correlation, components, exascale Graphics node system Bridges, failure architecture, processing units, HPC vicinity-based, computerised approach, hpc, privacy, myOwn anomaly approach from:ghiasvan statistical hardware, instrumentation, computing, management, high Hardware, computers, computing mechanism, prediction, detection, anonymized Computer analysis, Anomaly]

Tom Richard Vargis, and Siavash Ghiasvand. Content-Aware Depth-Adaptive Image Restoration. Proceedings of the 29th International Conference on Automation and Computing, Sunderland, UK, January 2024. [PUMA: Learning, myOwn from:ghiasvan and Computer Vision Pattern Machine Recognition, Science] URL

Tom Richard Vargis, and Siavash Ghiasvand. Assessing Anonymized System Logs Usefulness for Behavioral Analysis in RNN Models. Proceedings of the International Workshop on Data-driven Resilience Research, (3376)arXiv, Leipzig, Germany, December 2022. [PUMA: myOwn from:ghiasvan] URL

Lincoln Sherpa, Sima Attar Khorasani, Rajasekar Sankar, Ralph Müller-Pfefferkorn, and Siavash Ghiasvand. KEENsight: Cloud based Collaborative Environment for Streamlining Machine Learning Development. The Fifteenth International Conference on Information, Intelligence, Systems and Applications, Crete, Greece, June 2024. [PUMA: myOwn from:ghiasvan]

Siavash Ghiasvand, Florina M Ciorba, and Wolfgang E Nagel. Turning Privacy Constraints into Syslog Analysis Advantage. International Conference for High Performance Computing, Networking, Storage and Analysis (SC), Salt Lake City, Utah, USA, November 2016. [PUMA: myOwn from:ghiasvan] URL

Siavash Ghiasvand, Florina M. Ciorba, Ronny Tschuter, and Wolfgang E. Nagel. Lessons Learned from Spatial and Temporal Correlation of Node Failures in High Performance Computers. Proceedings of the 24th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP), 377--381, IEEE, Heraklion, Crete, Greece, February 2016. [PUMA: myOwn from:ghiasvan] URL

Siavash Ghiasvand, and Florina M Ciorba. Event Pattern Identification in Anonymized System Logs. International Supercomputing Conference (ISC), Frankfurt, Germany, June 2017. [PUMA: myOwn from:ghiasvan]

Siavash Ghiasvand, and Florina M Ciorba. Anonymization of System Logs for Preserving Privacy and Reducing Storage. Proceedings of the 2018 Future of Information and Communications Conference (FICC), (1):440--447, Springer, Singapore, April 2018. [PUMA: myOwn from:ghiasvan]

Siavash Ghiasvand, and Florina M. Ciorba. Towards Adaptive Resilience in High Performance Computing. In E. Grosspietsch, and K. Kloeckner (Eds.), Proceedings of WiP in 25th EUROMICRO International Conference on Parallel, Distributed and Network-based Processing, (1):5--6, SEA-Publications-Austria, St. Petersburg, Russia, March 2017. [PUMA: myOwn from:ghiasvan]

Sina Mahmoodi Khorandi, Siavash Ghiasvand, and Mohsen Sharifi. Reducing Load Imbalance of Virtual Clusters via Reconfiguration and Adaptive Job Scheduling. Proceedings of the 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID), 992--999, IEEE, Madrid, Spain, May 2017. [PUMA: myOwn from:ghiasvan] URL

Siavash Ghiasvand, Florina M Ciorba, Ronny Tschuter, and Wolfgang E. Nagel. Analysis of Node Failures in High Performance Computers Based on System Logs. International Conference for High Performance Computing, Networking, Storage and Analysis (SC), Austin, Texas, USA, November 2015. [PUMA: myOwn from:ghiasvan] URL

Siavash Ghiasvand. uPAD: Unsupervised Privacy-Aware Anomaly Detection in High Performance Computing Systems:. Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, 852--859, SCITEPRESS - Science and Technology Publications, Prague, Czech Republic, 2019. [PUMA: myOwn from:ghiasvan] URL

Siavash Ghiasvand, Wolfgang E Nagel, and Florina M Ciorba. Toward Resilience in HPC: A Prototype to Analyze and Predict System Behavior. International Supercomputing Conference (ISC), Frankfurt, Germany, June 2016. [PUMA: myOwn from:ghiasvan]

Siavash Ghiasvand, and Florina M Ciorba. Automatic Classification of System Logs. International Supercomputing Conference, Frankfurt, Germany, June 2018. [PUMA: myOwn from:ghiasvan]