DocumentCode :
2050658
Title :
Improving I/O Forwarding Throughput with Data Compression
Author :
Welton, Benjamin ; Kimpe, Dries ; Cope, Jason ; Patrick, Christina M. ; Iskra, Kamil ; Ross, Robert
Author_Institution :
Math. & Comput. Sci. Div., Argonne Nat. Lab., Argonne, IL, USA
fYear :
2011
fDate :
26-30 Sept. 2011
Firstpage :
438
Lastpage :
445
Abstract :
While network bandwidth is steadily increasing, it is doing so at a much slower rate than the corresponding increase in CPU performance. This trend has widened the gap between CPU and network speed. In this paper, we investigate improvements to I/O performance by exploiting this gap. We harness idle CPU resources to compress network traffic, reducing the amount of data transferred over the network and increasing effective network bandwidth. We created a set of compression services within the I/O Forwarding Scalability Layer. These services transparently compress and decompress data as it is transferred over the network. We studied the effect of the compression services on a variety of data sets and conducted experiments on a high-performance computing cluster.
Keywords :
computer networks; data compression; input-output programs; CPU; I/O forwarding scalability layer; I/O forwarding throughput improvement; data compression; network bandwidth; network speed; network traffic; Bandwidth; Benchmark testing; Data compression; Libraries; Random access memory; Servers; Throughput; I/O Forwarding; Scientific Data Compression;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cluster Computing (CLUSTER), 2011 IEEE International Conference on
Conference_Location :
Austin, TX
Print_ISBN :
978-1-4577-1355-2
Electronic_ISBN :
978-0-7695-4516-5
Type :
conf
DOI :
10.1109/CLUSTER.2011.80
Filename :
6061075
Link To Document :
بازگشت