Hadoop, like other parallel networked computation architectures is I/O
bound, predominantly.
This means any increase in network bandwidth is "A Good Thing" and can
have drastic positive
effects on performance. All your points stem from this simple realization.
Although I'm confused by your #6. Hadoop already uses a distributed file
system. HDFS.
On 06/28/2011 01:16 PM, Saqib Jang -- Margalla Communications wrote:
Folks,
I've been digging into the potential benefits of using
10 Gigabit Ethernet (10GbE) NIC server connections for
Hadoop and wanted to run what I've come up with
through initial research by the list for 'sanity check'
feedback. I'd very much appreciate your input on
the importance (or lack of it) of the following potential benefits of
10GbE server connectivity as well as other thoughts regarding
10GbE and Hadoop (My interest is specifically in the value
of 10GbE server connections and 10GbE switching infrastructure,
over scenarios such as bonded 1GbE server connections with
10GbE switching).
1. HDFS Data Loading. The higher throughput enabled by 10GbE
server and switching infrastructure allows faster processing and
distribution of data.
2. Hadoop Cluster Scalability. High-performance for initial data
processing
and distribution directly impacts the degree of parallelism or scalability
supported
by the cluster.
3. HDFS Replication. Higher speed server connections allows faster
file replication.
4. Map/Reduce Shuffle Phase. Improved end-to-end throughput and
latency directly impact the
shuffle phase of a data set reduction especially for tasks that are at the
document level
(including large documents) and lots of metadata generated by those
documents as well as video analytics and images.
5. Data Reporting. 10GbE server networking etwork performance can
improve data reporting performance, especially if the Hadoop cluster is
running
multiple data reductions.
6. Support of Cluster File Systems. With 10 GbE NICs, Hadoop could be
reorganized
to use a cluster or network file system. This would allow Hadoop even with
its Java implementation
to have higher performance I/O and not have to be so concerned with disk
drive density in the same server.
7. Others?
thanks,
Saqib
Saqib Jang
Principal/Founder
Margalla Communications, Inc.
1339 Portola Road, Woodside, CA 94062
(650) 274 8745
www.margallacomm.com
