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Additional resources for Advancements in distributed computing and Internet technologies : trends and issues
This indicates that CPU is a source of bottleneck and also excessive usage of stripes and parallel streams is the cause of drop-down in throughput. For Teragrid, since the results are so close to each other, it is difficult to say that multiple stripes will always give better results based on the network condition. The striping results are obtained only using a single node, yet it is sufficient to reach up to the network limit. We look into the CPU utilization results to find out why a single stripe is not sufficient.
Bustamante, F. E. (2005). Modeling and taming parallel TCP on the wide area network. In Proceedings of IEEE International Symposium on Parallel and Distributed Processing (IPDPS05), (p. 68b). Morajko, A. (2004). Dynamic tuning of parallel/ distributed applications. Unpublished doctoral dissertation, Universitat Autonoma de Barcelona, Spain. Prasad, R. , & Davrolis, C. (2004). Socket buffer auto-sizing for high-performance data transfers. Journal of Grid Computing, 1(4), 361– 376. , & Mathis, M.
Up to 8msecs). The second network is the Teragrid (Teragrid, 2010) which is a nation-wide high-bandwidth network that has a 30 Gbps backbone. In the third setting, we use the inter-node connection to remove the effects of the network where the transfers are conducted between two I/O nodes of the same cluster. In each case, we increase the number of parallel streams exponentially and measure the throughput as well as the CPU Utilization. Figure 4 presents the average memory-to-memory throughput of parallel streams.
Advancements in distributed computing and Internet technologies : trends and issues by Al-Sakib Khan Pathan, Mukaddim Pathan, Hae Young Lee