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Proceedings Paper

Application-level technique for faster transmission of large images on the internet
Author(s): L. Rodney Long; Lewis E. Berman; Leif Neve; Gautam Roy; George R. Thoma
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Paper Abstract

An application-level technique for improving the transmission rate of large files is described in this paper. Such techniques are important in areas such as telemedicine, where near-real-time delivery of large files such as digital images is a goal: end users may include specialist whose time is scarce and expensive, and timely access to the data may be necessary for effective clinical treatment. Faster delivery is also an enabling technology for accessing remote medial archives. In conventional TCP/IP transmission, data to be transmitted is sent down one logical communication channel. Our technique divided the data into segments; each segment is sent down its own channel, and the segments are reassembled into a copy of the original data at the receiving end. This technique has been implemented and tested in a client-server program using Berkeley Unix sockets, multiple independent process for channel control, and interprocess communication techniques to guarantee the receipt and correct reassembly of the transmitted data. Performance measurements have been made on several hundred Internet transmissions (including Arizona-to-Maryland transmissions) of 5-megabyte cervical x- ray images. Transmission time as a function of number of channels has been recorded, and a 3-fold improvement in transmission rate has been observed.

Paper Details

Date Published: 14 March 1995
PDF: 14 pages
Proc. SPIE 2417, Multimedia Computing and Networking 1995, (14 March 1995); doi: 10.1117/12.206077
Show Author Affiliations
L. Rodney Long, National Library of Medicine (United States)
Lewis E. Berman, National Library of Medicine (United States)
Leif Neve, Century Computing, Inc. (United States)
Gautam Roy, AlliedSignal Inc. (United States)
George R. Thoma, National Library of Medicine (United States)

Published in SPIE Proceedings Vol. 2417:
Multimedia Computing and Networking 1995
Arturo A. Rodriguez; Jacek Maitan, Editor(s)

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