Publications

Siavash Ghiasvand, und 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, Juni 2019. [PUMA: Anomaly Bridges, Computer Correlation, Graphics HPC Hardware, Resource analysis, anomaly anonymized approach approach, architecture, components, computerised computers, computing computing, detection detection, exascale failure hardware, high hpc, instrumentation, management, mechanism, myOwn node performance prediction, privacy, processing sensors, statistical system system, units, vicinity, vicinity-based,]

Siavash Ghiasvand, Florina M Ciorba, und 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] URL

Siavash Ghiasvand, Florina M. Ciorba, Ronny Tschuter, und 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, Februar 2016. [PUMA: myOwn] URL

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

Siavash Ghiasvand, und 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]

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

Sina Mahmoodi Khorandi, Siavash Ghiasvand, und 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, Mai 2017. [PUMA: myOwn] URL

Siavash Ghiasvand, Florina M Ciorba, Ronny Tschuter, und 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] 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] URL

Siavash Ghiasvand, und Florina M Ciorba. Automatic Classification of System Logs. International Supercomputing Conference, Frankfurt, Germany, Juni 2018. [PUMA: myOwn]

Siavash Ghiasvand, und Florina M. Ciorba. Assessing Data Usefulness for Failure Analysis in Anonymized System Logs. Proceedings of the 17th International Symposium on Parallel and Distributed Computing (ISPDC), 164--171, Geneva, Switzerland, Juni 2018. [PUMA: Data Distributed Encoding, Encryption, High Measurement, Privacy, analysis, anonymization, behavior computing, databases, detection, dissertation encoding, failure high myOwn performance privacy, usefulness,]

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

Tom Richard Vargis, und 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, Januar 2022. [PUMA: Cluster Computer Computing, Distributed, Learning Machine Parallel, Science and myOwn] URL

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

Tom Richard Vargis, und 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, Dezember 2022. [PUMA: myOwn] URL

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