DTN-aware Store-and-Forward Data Transfer for Exabyte Scale Science Big-data 


Vol. 42,  No. 10, pp. 1991-1998, Oct.  2017
10.7840/kics.2017.42.10.1991


PDF Full-Text
  Abstract

In this paper, we propose a new transfer method for exabyte scale science big data. Legacy transfer method provides end-to-end transfer based on TCP, and uses parallel connections additionally on it to enhance the performance. The proposed method deploys data transfer node(DTN) along the transferring path. The proposed method transfers the data to DTN and stores it, and then forwards it again. The proposed method resolves the problem that packet losses, caused from traffic congestion or the shortage of available bandwidth at edge network area, produce much overall performance degradation. We show the architecture of DTN deploying and the result of performance enhancement based on DTN.

  Statistics
Cumulative Counts from November, 2022
Multiple requests among the same browser session are counted as one view. If you mouse over a chart, the values of data points will be shown.


  Cite this article

[IEEE Style]

W. Seok, W. Hong, J. Kwak, J. Moon, "DTN-aware Store-and-Forward Data Transfer for Exabyte Scale Science Big-data," The Journal of Korean Institute of Communications and Information Sciences, vol. 42, no. 10, pp. 1991-1998, 2017. DOI: 10.7840/kics.2017.42.10.1991.

[ACM Style]

Woojin Seok, Wontaek Hong, Jai-seung Kwak, and Jeong-hoon Moon. 2017. DTN-aware Store-and-Forward Data Transfer for Exabyte Scale Science Big-data. The Journal of Korean Institute of Communications and Information Sciences, 42, 10, (2017), 1991-1998. DOI: 10.7840/kics.2017.42.10.1991.

[KICS Style]

Woojin Seok, Wontaek Hong, Jai-seung Kwak, Jeong-hoon Moon, "DTN-aware Store-and-Forward Data Transfer for Exabyte Scale Science Big-data," The Journal of Korean Institute of Communications and Information Sciences, vol. 42, no. 10, pp. 1991-1998, 10. 2017. (https://doi.org/10.7840/kics.2017.42.10.1991)

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)






pISSN : 1226 - 4717
eISSN : 2287 - 3880