Abstract
Many scientific applications are generating extremely large amounts of data at a high speed, which must be transferred to remote collaborating sites for storage and analysis. Such high- demanding data transfer has been increasingly supported by bandwidth reservation services in high-performance networks (HPNs). For each bandwidth reservation request (BRR), most existing scheduling algorithms return either the best-case reservation option or a reject message if the BRR cannot be satisfied. To perform intelligent scheduling, we provide two alternative reservation options in the latter case: schedule the BRR within the closest time intervals before and after the user-specified time interval. We consider two different types of BRRs and for each, we design a flexible bandwidth scheduling algorithm with a rigorous optimality proof to compute both the best and alternative reservation options. For comparison, we also design two heuristics adapted from existing bandwidth scheduling algorithms. Extensive simulations show that the proposed algorithms have superior performance to those in comparison.
| Original language | English (US) |
|---|---|
| Title of host publication | 2018 IEEE International Conference on Communications, ICC 2018 - Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Volume | 2018-May |
| ISBN (Print) | 9781538631805 |
| DOIs | |
| State | Published - Jul 27 2018 |
| Event | 2018 IEEE International Conference on Communications, ICC 2018 - Kansas City, United States Duration: May 20 2018 → May 24 2018 |
Other
| Other | 2018 IEEE International Conference on Communications, ICC 2018 |
|---|---|
| Country | United States |
| City | Kansas City |
| Period | 5/20/18 → 5/24/18 |
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Intelligent Bandwidth Reservation for Big Data Transfer in High-Performance Networks. / Zuo, Liudong; Zhu, Michelle M.; Wu, Chase; Hou, Aiqin.
2018 IEEE International Conference on Communications, ICC 2018 - Proceedings. Vol. 2018-May Institute of Electrical and Electronics Engineers Inc., 2018. 8422601.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Intelligent Bandwidth Reservation for Big Data Transfer in High-Performance Networks
AU - Zuo, Liudong
AU - Zhu, Michelle M.
AU - Wu, Chase
AU - Hou, Aiqin
PY - 2018/7/27
Y1 - 2018/7/27
N2 - Many scientific applications are generating extremely large amounts of data at a high speed, which must be transferred to remote collaborating sites for storage and analysis. Such high- demanding data transfer has been increasingly supported by bandwidth reservation services in high-performance networks (HPNs). For each bandwidth reservation request (BRR), most existing scheduling algorithms return either the best-case reservation option or a reject message if the BRR cannot be satisfied. To perform intelligent scheduling, we provide two alternative reservation options in the latter case: schedule the BRR within the closest time intervals before and after the user-specified time interval. We consider two different types of BRRs and for each, we design a flexible bandwidth scheduling algorithm with a rigorous optimality proof to compute both the best and alternative reservation options. For comparison, we also design two heuristics adapted from existing bandwidth scheduling algorithms. Extensive simulations show that the proposed algorithms have superior performance to those in comparison.
AB - Many scientific applications are generating extremely large amounts of data at a high speed, which must be transferred to remote collaborating sites for storage and analysis. Such high- demanding data transfer has been increasingly supported by bandwidth reservation services in high-performance networks (HPNs). For each bandwidth reservation request (BRR), most existing scheduling algorithms return either the best-case reservation option or a reject message if the BRR cannot be satisfied. To perform intelligent scheduling, we provide two alternative reservation options in the latter case: schedule the BRR within the closest time intervals before and after the user-specified time interval. We consider two different types of BRRs and for each, we design a flexible bandwidth scheduling algorithm with a rigorous optimality proof to compute both the best and alternative reservation options. For comparison, we also design two heuristics adapted from existing bandwidth scheduling algorithms. Extensive simulations show that the proposed algorithms have superior performance to those in comparison.
UR - http://www.scopus.com/inward/record.url?scp=85051435333&partnerID=8YFLogxK
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U2 - https://doi.org/10.1109/ICC.2018.8422601
DO - https://doi.org/10.1109/ICC.2018.8422601
M3 - Conference contribution
SN - 9781538631805
VL - 2018-May
BT - 2018 IEEE International Conference on Communications, ICC 2018 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
ER -