 |
 |
 |
Award Finalist/Winner |
SC Conference - Activity Details
Using Phoebus for Optimized Data Dissemination
Contributors:
Martin Swany
(University of Delaware)
|
Ezra Kissel
(University of Delaware)
|
Patrick McClory
(University of Delaware)
|
Aaron Brown
(Internet2)
|
Challenges Session
SC08 Bandwidth Challenge: Unleashing the Power of the Network
|
Tuesday, 02:45PM - 03:00PM
|
Room 17A/17B
|
Abstract:
Scientific computing involves working with large, distributed datasets. This
requires effective use of both available processing capability and the means to
optimize the transfer of actual data across remote compute nodes. Phoebus is an
architecture that increases network throughput by intelligently segmenting and
routing across heterogeneous paths. Phoebus can make decisions about network
optimization based on network information provided by the perfSONAR framework.
The analysis and summarization of available network performance data can itself
be a compute-intensive task. For this challenge, we intend to use distributed
computing resources to analyze network data. The results of this analysis will
be fed into routing models. This will initially require massive distribution of
data and will use a model similar to that planned for Large Hadron Collider
data, namely a hierarchy of dissemination and analysis.
|
|