2019-02-20
12:14 |
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Learning more about the ingredients of cloud applications
/ Spillner, Josef (speaker) (SPLab, Zurich)
On the intersection between software engineering, cloud computing and data science, researchers have recently shown increased interest in tangible software artefacts often used to implement microservice-based applications and cloud applications in general. These encompass Lambda functions, Helm charts, Docker containers and other pieces of code with associated metadata and deployment configuration.
The talk is divided into two parts. [...]
2019 - 0:53:38.
CERN Computing Seminar
External link: Event details
In : Learning more about the ingredients of cloud applications
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2019-02-20
08:54 |
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2019-02-19
10:48 |
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CERNBox: EOS Powered CS3 Platform
/ Gonzalez Labrador, Hugo (speaker) (CERN)
CERNBox is the CERN cloud storage hub. It allows synchronizing and sharing files on all major desktop and mobile platforms (Linux, Windows, MacOSX, Android, iOS) aiming to provide universal access and offline availability to any data stored in the CERN EOS infrastructure. [...]
2019 - 0:11:57.
HEP Computing; EOS workshop
External links: Talk details; Event details
In : EOS workshop
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2019-02-19
10:27 |
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The Journey of a Serial Entrepreneur
/ Delarive, Patrick (speaker)
Patrick Delarive is an entrepreneur whose curiosity and ambition are matched by his desire to continuously innovate. Self-made man, he started working at the young age of 15 [...]
2019 - 2:07:18.
KT Seminars
External link: Event details
In : The Journey of a Serial Entrepreneur
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2019-02-19
09:05 |
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EOS as a online DAQ buffer for ProtoDUNE Dual Phase experiment
/ Pugnere, Denis (speaker) (Centre National de la Recherche Scientifique (FR))
The ProtoDUNE-Dual Phase experiment is based at CERN and is carried out with the support of the Neutrino Platform. The two ProtoDUNE experiments are the prototypes of the DUNE (Deep Underground Neutrino Experiment) detector, which has just begun construction in the United States. [...]
2019 - 0:19:00.
HEP Computing; EOS workshop
External links: Talk details; Event details
In : EOS workshop
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2019-02-18
17:06 |
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2019-02-18
15:59 |
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Colloquium - "Black Holes, Quantum Information, and Unification"
/ Bousso, Raphael (speaker) (UC Berkeley)
The study of black holes has revealed a deep connection between quantum information and spacetime geometry. Precise formulations of this conjectural relation have recently led to new insights in Quantum Field Theory. [...]
2019 - 1:10:43.
Conferences & Workshops; CERN Winter School on Supergravity, Strings and Gauge Theory 2019
External links: Talk details; Event details
In : CERN Winter School on Supergravity, Strings and Gauge Theory 2019
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2019-02-16
16:02 |
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EOS at the Fermilab LPC Physics Center
/ Szkola, Dan (speaker) (Fermi National Accelerator Lab. (US))
We report on current experiences and challenges with running an EOS instance for use by the Fermilab LHC Physics Center (LPC) computing cluster. The LPC cluster is a 4500-core user analysis cluster with 7 PB of EOS storage which is an increase of about 40% over the last year. [...]
2019 - 0:18:38.
HEP Computing; EOS workshop
External links: Talk details; Event details
In : EOS workshop
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2019-02-16
14:35 |
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EOSHOME Backup Prototype using restic
/ Valverde Cameselle, Roberto (speaker) (Universidad de Oviedo (ES))
EOS Home (CERNBox) has now more than 16K users and more than 500Mil files which are backed up every day using a set of scheduled scripts. The process of restoring the data is currently an internal process and requires a lot of manual work. [...]
2019 - 0:10:16.
HEP Computing; EOS workshop
External links: Talk details; Event details
In : EOS workshop
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2019-02-16
13:52 |
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Machine learning applications in Gravitational Wave research to classify transient signals
/ Cuoco, Elena (speaker) (EGO-European Gravitational Observatory)
Most of the data collected by Gravitational Wave (GW) interferometers are essentially background noise containing many noise transient signals, which has to be analyzed in a fast and efficient way to increase the detection confidence and to obtain information about likely noise sources.
Characterizing the noise transient signals (glitches) is an important task to reduce the impact of transient noise on the detectors. Inspecting glitches manually is a time-consuming and error-prone task and the increase of sensitivity in advanced detectors will lead to more classes of glitches. [...]
2019 - 0:49:57.
EP-IT Data science seminars
External link: Event details
In : Machine learning applications in Gravitational Wave research to classify transient signals
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