Paper Info
Title
Exploiting Network Parallelism for Improving Data Transfer Performance
Abstract
Many scientific applications, including bulk data transfer, can achieve significantly higher performance from vir- tually loss-free dedicated resources provisioned on shared links, than from opportunistic network use. Research and Education (R&E) backbones, including the Energy Sciences Network and Internet2, provide general-purpose services to allocate dedi- cated bandwidth. However, in order to fully take advantage of this technology, applications need to move from coarse-grained "reservation" strategies, to more sophisticated control based on software defined networking (SDN) with technologies such as OpenFlow. We propose here, as one practical step in this direction, using multiple paths for the same application transfer session. This can add bandwidth from "best effort" and dedicated networks, and can also facilitate performance with applications using multiple 10G NICs over 100G capable paths.
Year
DOI
Venue
2012
10.1109/SC.Companion.2012.337
High Performance Computing, Networking, Storage and Analysis
Keywords
Field
DocType
multiple path,improving data transfer performance,higher performance,best effort,general-purpose service,cated bandwidth,capable path,exploiting network parallelism,energy sciences network,dedicated network,bulk data,application transfer session
Reservation,Data transmission,Computer science,Parallel computing,Computer network,Network simulation,Provisioning,Bandwidth (signal processing),OpenFlow,Software-defined networking,Distributed computing
Conference
ISBN
Citations 
PageRank 
978-1-4673-6218-4
11
0.81
References 
Authors
16
6
Name
Order
Citations
PageRank
Dan Gunter138138.36
Raj Kettimuthu2223.76
Ezra Kissel3778.15
Martin Swany435525.85
Yi Jun516526.13
Jason Zurawski61189.15