| Talk | |||||||||||||||||||||||
| Title | Artificial Intelligence in the service of system administrators | ||||||||||||||||||||||
| Video | Loading
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| Author(s) | Haen, Christophe (speaker) (Univ. Blaise Pascal Clermont-Fe. II (FR)) | ||||||||||||||||||||||
| Corporate author(s) | CERN. Geneva | ||||||||||||||||||||||
| Imprint | 2012-05-22. - Streaming video, 00:22:52:00. | ||||||||||||||||||||||
| Series | (Conferences) (Computing in High Energy and Nuclear Physics (CHEP) 2012) | ||||||||||||||||||||||
| Lecture note | on 2012-05-22T15:10:00 | ||||||||||||||||||||||
| Subject category | Conferences | ||||||||||||||||||||||
| Abstract | The LHCb online system relies on a large and heterogeneous IT infrastructure made from thousands of servers on which many different applications are running. They run a great variety of tasks : critical ones such as data taking and secondary ones like web servers. The administration of such a system and making sure it is working properly represents a very important workload for the small expert-operator team. Research has been performed to try to automatize (some) system administration tasks, starting in 2001 when IBM defined the so-called “self objectives” supposed to lead to “autonomic computing”. In this context, we present a framework that makes use of artificial intelligence and machine learning to monitor and diagnose at a low level and in a non intrusive way Linux-based systems and their interaction with software. Moreover, the multi agent approach we use, coupled with a "object oriented paradigm" architecture should increase a lot our learning speed, and highlight relations between problems. | ||||||||||||||||||||||
| Copyright/License | © 2012-2024 CERN | ||||||||||||||||||||||
| Submitted by | jd@bnl.gov | ||||||||||||||||||||||
Record created 2012-07-09, last modified 2022-11-02
Talk details