Published September 18, 2019 | Version v1
Report Metadata-only

BigData Express: Toward Predictable, Schedulable, and High-Performance Data Transfer [PowerPoint presentation]

Creators

  • 1. Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States)

Description

Topics include: • BigData Express: a schedulable, predictable, and high-performance data transfer service – A peer-to-peer, scalable, and extensible data transfer model – A visually appealing, easy-to-use web portal – A high-performance data transfer engine – A time-constraint-based scheduler – On-demand provisioning of end-to-end network paths with guaranteed QoS – Robust and flexible error handling – CILogon-based security

Availability note (English)

Available from https://www.osti.gov/servlets/purl/1565933; https://www.osti.gov/biblio/1565933; DOE Accepted Manuscript full text, or the publishers Best Available Version will be available free of charge after the embargo period

Additional details

Identifiers

URL
https://www.osti.gov/servlets/purl/1565933; https://www.osti.gov/biblio/1565933;
DOI
10.2172/1565933;

Publishing Information

Imprint Pagination
16 p.
Report number
FERMILAB-SLIDES--19-054-SCD

INIS

Country of Publication
United States
Country of Input or Organization
United States
INIS RN
54043979
Subject category
S97: MATHEMATICAL METHODS AND COMPUTING; S42: ENGINEERING;
Resource subtype / Literary indicator
Non-conventional Literature
Descriptors DEI
COMPUTERIZED SIMULATION; ENGINES; ERRORS; PERFORMANCE
Descriptors DEC
SIMULATION

Optional Information

Contract/Grant/Project number
AC02-07CH11359
Collaborations
BigData Express Research Team
Funding organization
USDOE Office of Science - SC, High Energy Physics (HEP) (United States)
Secondary number(s)
OSTIID--1565933