Conveners
Data Management & Big Data: I
- Tomoaki Nakamura (KEK)
Data Management & Big Data: II
- Patrick Fuhrmann (DESY/dCache.org)
Data Management & Big Data: III
- Daniele Bonacorsi (University of Bologna)
Dr
Patrick Fuhrmann
(DESY/dCache.org)
03/04/2019, 16:00
Data Management & Big Data
Oral Presentation
dCache has introduced a new paradigm for scientific storage: storage
events. In traditional interactions there is always the same pattern:
the client requests some operation and the server replies with the
result of that request. If the client wishes to learn the current
status of some resource, it makes a request for this information. To
discover when the state of that resource has...
Mr
Michael Schuh
(DESY)
03/04/2019, 16:30
Data Management & Big Data
Oral Presentation
For over a decade commercial provides offer their computer resources as public clouds. With a couple of clicks one can build and run a full data center without any local infrastructure. While this is a very attractive approach, high costs and/or legal aspects force sites to run their own infrastructure, often as a private cloud, though. However, such local resources may be insufficient if user...
Mr
Andrey Kiryanov
(CERN)
03/04/2019, 17:00
Data Management & Big Data
Oral Presentation
WLCG DataLake R&D project aims at exploring an evolution of distributed storage while bearing in mind very high demands of HL-LHC era. Its primary objective is to optimize hardware usage and operational costs of a storage system deployed across distributed centers connected by fat networks and operated as a single service. Such storage could host a large fraction of the WLCG and other...
Dr
Patrick Fuhrmann
(DESY/dCache.org)
04/04/2019, 14:00
Data Management & Big Data
Oral Presentation
The ESCAPE project aims at delivering 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 large sets of data. One key aspect of ESCAPE is prototyping and implementing a shared system for FAIR data management and, in this...
Daniele Cesini
(INFN-CNAF)
04/04/2019, 14:30
Data Management & Big Data
Oral Presentation
The eXtreme-DataCloud project (XDC) is a software development initiative aimed at implementing data management scalable services to address the following high level topics: policy driven data management based on Quality-of-Service, Data Life-cycle management, storage federations creation, smart placement of data with caching mechanisms, meta-data with no predefined schema handling, execution...
Xuebin Chi
(Computer Network Information Center, Chinese Academy of Sciences)
04/04/2019, 15:00
Data Management & Big Data
Oral Presentation
Big Earth Data, as a new type of strategic resource for all nations, brings impetus to Earth Science, and will be a new essential tool to understand the world. To improve the capability of effectively collecting, storing, managing and analyzing Big Earth Data, and to create groundbreaking discoveries, it is imperative to build a Cloud Service Platform and to develop innovative technologies and...
Dr
William B. Seales
(University of Kentucky)
04/04/2019, 16:00
Data Management & Big Data
Oral Presentation
The acceleration of advances in machine learning (ML) as applied to image-based problems
has produced robust solutions to challenges often considered too difficult - or even impossible - to solve by computer: face recognition, 3D object recognition, landmark detection, image-based geo-location. This project re-imagines the accepted imaging paradigm in the context of computed tomography and a...
Dr
Luca Giommi
(INFN and University of Bologna)
04/04/2019, 16:30
Data Management & Big Data
Oral Presentation
The INFN-CNAF computing center, one of the Worldwide LHC Computing Grid Tier-1 sites, is serving a large set of scientific communities, in High Energy Physics and beyond. In order to increase efficiency and to remain competitive in the long run, CNAF is launching various activities aiming at implementing a global predictive maintenance solution for the site.
This requires a site-wide effort...
Simon C. Lin
(ASGC)
04/04/2019, 17:00
Data Management & Big Data
Oral Presentation
Big data is instrumental for the triumph of deep machine learning, it generates enormous number of quasi-ground states for the learning algorithms to converge. In the Big Data Analytics, it was recognized that prediction and description are two generic goals in its field. Prediction often appears with the use of attributes to predict the membership of a particular object in some object set...
