RT Conference Proceedings
T1 Perspectives on anomaly and event detection in exascale systems
A1 Iuhasz, Gabriel
A1 Petcu, Dana
AB The design and implementation of exascale system is nowadays an important challenge. Such a system is expected to combine HPC with Big Data methods and technologies to allow the execution of scientific workloads which are not tractable at this present time. In this paper we focus on an event and anomaly detection framework which is crucial in giving a global overview of a exascale system (which in turn is necessary for the successful implementation and exploitation of the system). We propose an architecture for such a framework and show how it can be used to handle failures during job execution.
PB IEEE
SN 978-1-7281-0006-7
YR 2019
FD 2019-08-29
LK https://hdl.handle.net/10016/29715
UL https://hdl.handle.net/10016/29715
LA eng
NO Proceeding of: IEEE 5th International Conference on Big Data Security on Cloud (BigDataSecurity), 27-29 May 2019, Washington, USA
NO ASPIDE: Exascale programIng models for extreme data processing
NO This work has received funding from the EC-funded H2020 ASPIDE project (Agreement 801091). This work was supported with hardware resources by the Romanian grant BID(PN-III-P1-PFE-28).
DS e-Archivo
RD 18 jul. 2024