TY - GEN
T1 - A low cost method for determining the entire network path bandwidths of indirect high-performance computer networks
AU - Yan, Baicheng
AU - Zhou, Yi
AU - Xiao, Limin
AU - Yang, Zhang
AU - Wu, Hongyu
AU - Wei, Bing
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - Bandwidth is an important performance metric for high-performance computer network (HINET). How to determine large-scale HINET path bandwidths quickly and precisely is a highly pivotal challenge for parallel application performance analysis and prediction, optimizing end-to-end data transport performance, network management, etc. However, it is hard to determine the entire network point-to-point bandwidths of HINET since it often costs amounts of measurement time. Existing path bandwidth measurement methods focus on improving the accuracy of single path bandwidth measurement, however, lack considerations for reducing the entire network path bandwidths measurement times. To address this issue, we present an efficient method to generate the full-scale point-to-point bandwidth measurement plan for rapidly obtaining each path bandwidth in HINET. For evaluating, a source routing Fat-tree simulator and comprehensive experiments were conducted for different application scenarios. Both experimental and analysis showed that our method can reduce the measurement times significantly. In particular, compared to the exhaustive method, the measurement times of our method are one in 185 for the entire path bandwidth fault and can save 95% measurement times in 1024 nodes network with synthetic traffic.
AB - Bandwidth is an important performance metric for high-performance computer network (HINET). How to determine large-scale HINET path bandwidths quickly and precisely is a highly pivotal challenge for parallel application performance analysis and prediction, optimizing end-to-end data transport performance, network management, etc. However, it is hard to determine the entire network point-to-point bandwidths of HINET since it often costs amounts of measurement time. Existing path bandwidth measurement methods focus on improving the accuracy of single path bandwidth measurement, however, lack considerations for reducing the entire network path bandwidths measurement times. To address this issue, we present an efficient method to generate the full-scale point-to-point bandwidth measurement plan for rapidly obtaining each path bandwidth in HINET. For evaluating, a source routing Fat-tree simulator and comprehensive experiments were conducted for different application scenarios. Both experimental and analysis showed that our method can reduce the measurement times significantly. In particular, compared to the exhaustive method, the measurement times of our method are one in 185 for the entire path bandwidth fault and can save 95% measurement times in 1024 nodes network with synthetic traffic.
KW - Entire network paths
KW - HINET
KW - Path bandwidth determination
UR - https://www.scopus.com/pages/publications/85063896701
U2 - 10.1109/BDCloud.2018.00017
DO - 10.1109/BDCloud.2018.00017
M3 - 会议稿件
AN - SCOPUS:85063896701
T3 - Proceedings - 16th IEEE International Symposium on Parallel and Distributed Processing with Applications, 17th IEEE International Conference on Ubiquitous Computing and Communications, 8th IEEE International Conference on Big Data and Cloud Computing, 11th IEEE International Conference on Social Computing and Networking and 8th IEEE International Conference on Sustainable Computing and Communications, ISPA/IUCC/BDCloud/SocialCom/SustainCom 2018
SP - 15
EP - 22
BT - Proceedings - 16th IEEE International Symposium on Parallel and Distributed Processing with Applications, 17th IEEE International Conference on Ubiquitous Computing and Communications, 8th IEEE International Conference on Big Data and Cloud Computing, 11th IEEE International Conference on Social Computing and Networking and 8th IEEE International Conference on Sustainable Computing and Communications, ISPA/IUCC/BDCloud/SocialCom/SustainCom 2018
A2 - Chen, Jinjun
A2 - Yang, Laurence T.
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 16th IEEE International Symposium on Parallel and Distributed Processing with Applications, 17th IEEE International Conference on Ubiquitous Computing and Communications, 8th IEEE International Conference on Big Data and Cloud Computing, 11th IEEE International Conference on Social Computing and Networking and 8th IEEE International Conference on Sustainable Computing and Communications, ISPA/IUCC/BDCloud/SocialCom/SustainCom 2018
Y2 - 11 December 2018 through 13 December 2018
ER -