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DTSTAMP:20211207T054812Z
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DTSTART;TZID=America/Chicago:20211118T133000
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UID:submissions.supercomputing.org_SC21_sess155_pap476@linklings.com
SUMMARY:Online Optimization of File Transfers in High-Speed Networks
DESCRIPTION:Paper\n\nOnline Optimization of File Transfers in High-Speed N
 etworks\n\nArifuzzaman, Arslan\n\nFile transfers in high-speed networks re
 quire network and I/O parallelism to reach high speeds, however, creating 
 arbitrarily large numbers of I/O and network threads overwhelms system res
 ources and causes fairness issues. In this paper, we introduce Falcon that
  combines a novel utility function with state-of-the-art online optimizati
 on algorithms to discover the degree of I/O and network parallelism for fi
 le transfer that can maximize the throughput while keeping system overhead
  low and ensuring fairness among competing transfers. Our extensive evalua
 tions in several dedicated and production high-speed networks show that Fa
 lcon can find near-optimal solution in as little as 20 seconds and outperf
 orms existing transfer application by 2-6x. Moreover, unlike other file tr
 ansfer optimization solutions that fail to ensure fair resource allocation
  between competing transfers, Falcon is guaranteed to converge to Nash Equ
 ilibrium when multiple Falcon agents compete for the network resources wit
 h the help of its game theory-inspired utility function.\n\nTag: Reproduci
 bility Badge, Memory Systems, Networks\n\nRegistration Category: Tech Prog
 ram Reg Pass\n\nReproducibility Badges: Artifact Available
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