Skip to search formSkip to main contentSkip to account menu

GridFTP

GridFTP is an extension of the File Transfer Protocol (FTP) for grid computing. The protocol was defined within the GridFTP working group of the Open… 
Wikipedia (opens in a new tab)

Related topics

Related topics

4 relations
Grid Security InfrastructureGrid computingScience DMZ Network ArchitectureSimple API for Grid Applications

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2010
2010
Automation and management of scientific workflows in distributed network environments
Large-scale computation-intensive applications in various science fields feature complex DAG-structured workflows comprised of… 
2009
2009
UDT as an Alternative Transport Protocol for GridFTP
GridFTP has emerged as a de facto standard for secure, reliable, high-performance data transfer across resources on the Grid. By… 
2008
2008
Performance enhancement of TCP in high-speed networks
2008
2008
Grid Resource Management System and Semantic Information System
In this paper, we present semantic grid management system (SGMS) and semantic information system (SIS) for efficient grid… 
2007
2007
A global and parallel file system for grids
2006
2006
The Design, Performance, and Use of DiPerF: An automated DIstributed PERformance evaluation Framework
We present DiPerF, a DIstributed PERformance evaluation Framework, aimed at simplifying and automating performance evaluation of… 
2005
2005
A binary XML for scientific applications
XML provides flexible, extensible data models and type systems for structured data, and has found wide-acceptance in many domains… 
2004
2004
A Proxy Service for the xrootd Data Server
In data intensive sciences like High Energy Physics, large amounts of data are typically distributed and/or replicated to several… 
2004
2004
EVOLUTION OF LCG-2 DATA MANAGEMENT
The LCG-2 middleware was used in the spring 2004 data challenges by all four LHC experiments. This produced the first useful… 
2002
2002
Mining Large Data Sets on Grids: Issues and Prospects
When data mining and knowledge discovery techniques must be used to analyze large amounts of data, high-performance parallel and… 
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy (opens in a new tab), Terms of Service (opens in a new tab), and Dataset License (opens in a new tab)