title: Performance of Web-based image distribution: server-oriented measurements.
abstract: The aim of this study was to assess the performance of Web-based image distribution when multiple personal computers (PCs) are downloading images simultaneously for different server hardware configurations. Using specially developed software, the time-to-display (TTD) of different image types was measured with up to 16 concurrent PCs for various combinations of processor, random access memory (RAM), network connection and image compression. The TTD increased linearly with the number of concurrent PCs but remained under 5 s in most of the cases, even with 16 concurrent PCs. Only with a 10-Mbit/s network connection or with lossy compression were TTDs above 5 s obtained. Two processors instead of one led to a slight and constant improvement of the TTD. Reducing the amount of RAM increased the TTD mainly for computed radiography (CR) images. There was no difference between a 200- and 100-Mbit/s network, but 10 Mbit/s proved significantly worse. When increasing the number of clients lossless compression performed substantially better than lossy. A standard off-the-shelf server provides an appropriate download performance even with 16 concurrent clients. Processor speed and RAM amount are of minor importance, but it is highly recommended to use a 100-Mbit/s network connection and to avoid the application of on-demand lossy compression in a local area network.
authors.affiliation: Department of Information and Communication Technology, Klinikum der Johann Wolfgang Goethe Universität, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany. bjoern.bergh@kgu.de
authors.forename: B
authors.initials: B
authors.lastname: Bergh
authors.forename: M
authors.initials: M
authors.lastname: Pietsch
authors.forename: A
authors.initials: A
authors.lastname: Schlaefke
authors.forename: I
authors.initials: I
authors.lastname: Garcia
authors.forename: T J
authors.initials: TJ
authors.lastname: Vogl
mesh_terms: D020407:Internet; D011873:Radiology Information Systems