Home // ICSEA 2022, The Seventeenth International Conference on Software Engineering Advances // View article
Authors:
Martin Zinner
Kim Feldhoff
Wolfgang E. Nagel
Keywords: Computer centre; Data Analytics; Statistical methods; Anomaly detection; Artificial Intelligence; Trend analysis; Failure diagnosis; Failure prevention; Monitoring system; Event logs.
Abstract:
Ensuring smooth operations of data centres is key to a company’s success. This endeavour is becoming more and more difficult. Given the continuously increasing amount of data, realtime demands and continuous system availability requirements, the Information Technology (IT) infrastructure is increasingly becoming more and more complex and unmanageable. Humans are not able to manually identify in time the breakdowns of the IT systems, let alone predict or avoid them. Hence, there is a need for an overall strategy regarding the early recognition or rather, the avoidance of outages. In the focus of our attention are technologies in the area of artificial intelligence, data analytics, anomaly detection, logging, and parsing, etc. We define an overall strategy in this regard, such that by automating and/or reducing routine activities the support team can concentrate its activity on setting up leading edge technologies rather than relying on the individual skills of some team members in fixing or preventing the failures. To conclude, our strategy supports a paradigm shift from more or less subjectively designed individualistic conceptions in handling of disruptions regarding the service of computer centres and IT infrastructures towards objectively established optimal solutions.
Pages: 93 to 101
Copyright: Copyright (c) IARIA, 2022
Publication date: October 16, 2022
Published in: conference
ISSN: 2308-4235
ISBN: 978-1-61208-997-3
Location: Lisbon, Portugal
Dates: from October 16, 2022 to October 20, 2022