Conveners
Data Management & Big Data Session: I
- Patrick Fuhrmann (DESY/dCache.org)
- Andrea Valassi (CERN)
Data Management & Big Data Session: II
- Kento Aida (National Institute of Informatics)
- Patrick Fuhrmann (DESY/dCache.org)
Dr
Shiro KAWAKITA
(Japan Aerospace Exploration Agency)
23/03/2021, 13:00
Data Management & Big Data
Oral Presentation
The Sentinel Asia (SA) is a voluntary initiative led by the Asia-Pacific Regional Space Agency Forum (APRSAF), established in 2005 as a collaboration between space agencies and disaster management agencies, applying remote sensing and Web-GIS technologies to assist disaster management in the Asia-Pacific region. It provides and shares disaster information in near-real-time across the...
Mr
Yash Bitla
(Don Bosco Institute of Technology)
23/03/2021, 13:20
Data Management & Big Data
Oral Presentation
Compression is a course used by numerous applications and techniques to make data transfer
laidback and swift. Similarly, there are different types of data shared across such as text and image almost
every second of our lives. However, with the growing number of working applications and users the
compression techniques are limited and yet to explore and deploy. Hence, we tried to come up...
Mr
Simone Rossi Tisbeni
(INFN-CNAF)
23/03/2021, 13:40
Data Management & Big Data
Oral Presentation
With the upcoming start of Run-3, and especially Run-4, the amount of data managed by the WLCG data centres is expected to massively increase. In this context the importance of using efficient routines for the analysis of the incoming data is crucial to ensure the effectiveness of the HEP experiments. The actionable data that is available for the analysis also include the logging data...
Tommaso Tedeschi
(University and INFN, Perugia (Italy))
23/03/2021, 14:00
Data Management & Big Data
Oral Presentation
In the near future, High Energy Physics experiments’ storage and computing needs will go far above what can be achieved by only scaling current computing models or current infrastructures. Considering the LHC case, for 10 years a federated infrastructure (Worldwide LHC Computing Grid, WLCG) has been successfully developed. Nevertheless, the High Luminosity (HL-LHC) scenario is forcing the WLCG...
Ms
Hao Hu
(Institute of High Energy Physics)
24/03/2021, 13:00
Data Management & Big Data
Oral Presentation
The High Energy Photon Source (HEPS) in Beijing is the first national light source of high-energy synchrotron radiation in China, and will be one of the world's brightest fourth-generation synchrotron radiation facilities.
Doubtless data are of crucial importance for the scientific discoveries made in the experiments at HEPS. According to the estimated data rates, we predict 30 PB raw...
Mr
Andrey Kiryanov
(NRC "Kurchatov Institute")
24/03/2021, 13:20
Data Management & Big Data
Oral Presentation
The evolution of the computing facilities and the way storage will be organized and consolidated will play a key role in how this possible shortage of resources will be addressed by the LHC experiments. The need for an effective distributed data storage has been identified as fundamental from the beginning of LHC, and this topic has became particularly vital in the light of the preparation for...
Mr
Tim Wetzel
(Deutsches Elektronen-Synchrotron DESY)
24/03/2021, 13:40
Data Management & Big Data
Oral Presentation
The German Helmholtz Association consists of 19 research institutes distributed over Germany, covering a wide variety of research topics ranging from particle and material physics over cancer research to marine biology. In order to stimulate collaborations between different centres, Helmholtz established so-called incubator platforms. One of those platforms, HIFIS, aims to provide the...
Dr
Riccardo Di Maria
(CERN)
24/03/2021, 14:00
Oral Presentation
The European-funded ESCAPE project will prototype a shared solution to computing challenges in the context of the European Open Science Cloud. It targets Astronomy and Particle Physics facilities and research infrastructures and focuses on developing solutions for handling Exabyte scale datasets.
The DIOS work package aims at delivering a Data Infrastructure for Open Science. Such an...
