Iuhasz, GabrielPetcu, Dana2020-04-272020-04-272020-01-022019 IEEE International Conference on Advanced Scientific Computing (ICASC), 12-14, September 2019, Sinaia, Romania. Proceedings, 5 pp.978-1-7281-4454-2https://hdl.handle.net/10016/30208Proceeding of: 2019 IEEE International Conference on Advanced Scientific Computing (ICASC)ASPIDE: Exascale programIng models for extreme data processingExascale systems are a hot topic of research in computer science. These systems in contrast to current Cloud, Big Data and HPC systems will routinely contain hundreds of thousand of nodes generating millions of events. At this scale of hardware fault and anomalous behaviour is not only more likely but to be expected. In this paper we describe the architecture of and Exascale monitoring solution coupled with an event detection component. The latter component is extremely important in order to handle the multitude of potential events. We describe the major lacking research that needs to be done, which will make event detection freezable in real world Exascale systems.5eng© 2019 IEEE.MonitoringExascaleEvent processingAnomaly detectionMonitoring of exascale data processingconference paperInformáticahttps://doi.org/10.1109/ICASC48083.2019.8946279open access152019 IEEE International Conference on Advanced Scientific Computing (ICASC), 12-14, September 2019, Sinaia, Romania. Proceedings