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Data Management & Big Data Session

Place

Location: Academia Sinica
Date: from 20 Mar 11:00 to 22 Mar 12:30

Conveners

  • 20 Mar 11:00 - 12:30 I
    • Dr. Groep, David (Nikhef)
  • 20 Mar 14:00 - 15:30 II
    • Prof. Bonacorsi, Daniele (University of Bologna)
  • 22 Mar 11:00 - 12:30 III
    • Dr. Charpentier, Philippe (CERN)

Timetable | Contribution List

Displaying 9 contributions out of 9
Type: Oral Presentation Session: Data Management & Big Data Session
Track: Big Data & Data Management
In recent years, AI assistants have been developed and these are increasingly helping humans at work and at home. Among them, voice assistances technologies are particularly attractive. They are not limited only to smart phone applications, such as Apple Siri and Google Assistance. Recently Amazon Alexa is used at work and Google Home and LINE Wave are used at home. These voice assistance technolo ... More
Presented by Mr. Daiki ISHIZUKA on 22/3/2018 at 4:00
Type: Oral Presentation Session: Data Management & Big Data Session
Track: Big Data & Data Management
EOS Open Storage platform is a software solution for central data recording, user analysis and data processing. In 2017 the EOS system at CERN provided 250 PB of disk storage on more than 50k disks. Most of the stored data originates from the Large Hadron Collider and various other experiments at CERN. Originally developed as a pure disk storage system, EOS has been extended with interfaces ... More
Presented by Dr. Andreas-Joachim PETERS on 22/3/2018 at 3:30
Type: Oral Presentation Session: Data Management & Big Data Session
Track: Big Data & Data Management
RAL has developed a disk storage solution based on Inktank and Red Hat's ‘Ceph’ object storage platform to support the UK's WLCG Tier One centre. This solution, known as 'Echo' (Erasure-Coded High-throughput Object store), is now providing ~40% of the disk storage available to the LHC experiments and wider WLCG at the UK Tier 1. Data is stored in the cluster using erasure coding to reduce ... More
Presented by Mr. Rob APPLEYARD on 20/3/2018 at 7:00
Type: Oral Presentation Session: Data Management & Big Data Session
Track: Big Data & Data Management
The Scientific Data and Computing Center (SDCC) at Brookhaven National Laboratory (BNL) is a major scientific data storage site with more than 100 PB of archived experimental data, which amount is supposed to grow exponentially during the next several years. BNL is a Tier 1 data center for the ATLAS collaboration. The challenge is to meet the data storage and processing requirements of the Rel ... More
Presented by Mr. Tim CHOU on 20/3/2018 at 3:00
Type: Oral Presentation Session: Data Management & Big Data Session
Track: Big Data & Data Management
The eXtreme DataCloud (XDC) is a EU H2020 funded project aimed at developing scalable technologies for federating storage resources and managing data in highly distributed computing environments. The services provided will be capable of operating at the unprecedented scale required by the most demanding, data intensive, research experiments in Europe and Worldwide. XDC will be based on existing to ... More
Presented by Daniele CESINI on 20/3/2018 at 6:00
Type: Oral Presentation Session: Data Management & Big Data Session
Track: Big Data & Data Management
Machine and Deep Learning techniques are being used in various areas of CMS operations at the LHC collider, like data taking, monitoring, processing and physics analysis. A review a few selected use cases shows the progress in the field, with highlight on most recent developments, as well as an outlook to future applications in LHC Run III and towards the High-Luminosity LHC phase.
Presented by Prof. Daniele BONACORSI on 20/3/2018 at 3:30
Type: Oral Presentation Session: Data Management & Big Data Session
Track: Big Data & Data Management
In November 2017, the H2020 “eXtreme DataCloud” project will be launched, developing scalable technologies for federating storage resources and managing data in highly distributed computing environments. The project will last for 27 months and combines the expertise of 8 large European organizations. The targeted platforms are the current and next generation e-Infrastructures deployed in Europ ... More
Presented by Dr. Patrick FUHRMANN on 20/3/2018 at 6:30
Type: Oral Presentation Session: Data Management & Big Data Session
Track: Big Data & Data Management
Much attention is paid to the process of how new storage services are deployed into production that the challenges therein. Far less is paid to what happens when a storage service is approaching the end of its useful life. The challenges in rationalising and de-scoping a service that, while relatively old, is still critical to production work for both the UK WLCG Tier 1 and local facilities are no ... More
Presented by Mr. Rob APPLEYARD on 20/3/2018 at 4:00
Type: Oral Presentation Session: Data Management & Big Data Session
Track: Big Data & Data Management
As a robust and scalable storage system, dCache has always allowed the number of storage nodes and user accessible endpoints to be scaled horizontally, providing several levels of fault tolerance and high throughput. Core management services like the POSIX name space and central load balancing components however are merely vertically scalable. This greatly limits the scalability of the core servic ... More
Presented by Dr. Patrick FUHRMANN on 22/3/2018 at 3:00
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