Title :
Analysis of communication data: compression network
Author :
Nakano, Yasuhiko
Author_Institution :
Electron. Syst. Labs., Fujitsu Labs. Ltd., Atsugi, Japan
Abstract :
The paper reports the effect of compressed message delivery (a compression network) on a parallel processing system such as workstation clusters. Compression network is simulated on a massively parallel processor, the Thinking Machines CM-5, using the parallel language Split-C. To examine the benefit of data compression to the system, profiles, including message pattern, number of messages, and message size, are measured by simulation. The results indicate that compression increases the network bandwidth. A theoretical compression ratio of about a half was estimated for almost all messages. Network bandwidth can be efficiently doubled using data compression
Keywords :
data compression; local area networks; message passing; parallel machines; performance evaluation; virtual machines; workstations; CM-5 Thinking Machines; Split-C parallel language; communication data; compressed message delivery; compression network; compression ratio; data compression; massively parallel processor; message pattern; message size; network bandwidth; parallel processing system; profiles; simulation; workstation clusters; Application software; Asynchronous transfer mode; Bandwidth; Concurrent computing; Costs; Data analysis; Data compression; Laboratories; Local area networks; Workstations;
Conference_Titel :
Parallel Algorithms/Architecture Synthesis, 1995. Proceedings., First Aizu International Symposium on
Conference_Location :
Fukushima
Print_ISBN :
0-8186-7038-X
DOI :
10.1109/AISPAS.1995.401337
