@inproceedings{da89721edc15456bbcbc1c70e1af42f0,
title = "Hysteresis-based optimization of data transfer throughput",
abstract = "The achievable throughput for a data transfer can be determined by a variety of factors such as network bandwidth, round trip time, background traffic, dataset size, and end system configuration. For the best-effort optimization of the transfer throughput, three application-layer transfer parameters pipelining, parallelism and concurrency have been actively used in the literature. However, it is highly challenging to identify the best combination of these parameter settings for a specific data transfer request. In this paper, we analyze historical data consisting of 70 Million file transfers; apply data mining techniques to extract the hidden relations among the parameters and the optimal throughput; and propose a novel approach based on hysteresis to predict the optimal parameter settings.",
keywords = "Data mining, Data transfer optimization, Highbandwidth networks, Hysteresis, Protocol tuning",
author = "\{Zulkar Nine\}, \{S. Q.\} and Kemal Guner and Tevfik Kosar",
year = "2015",
month = nov,
day = "15",
doi = "10.1145/2832099.2832104",
language = "English",
series = "Proceedings of NDM 2015: 5th International Workshop on Network-Aware Data Management - Held in conjunction with SC 2015: The International Conference for High Performance Computing, Networking, Storage and Analysis",
publisher = "Association for Computing Machinery ",
booktitle = "Proceedings of NDM 2015",
address = "United States",
note = "5th International Workshop on Network-Aware Data Management, NDM 2015 - Held as part of the 27th ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2015 ; Conference date: 16-11-2014 Through 16-11-2014",
}