Paper
15 January 1997 Distributed large data-object management architecture
William E. Johnston, Jin Guojun, Jason Lee, Mary R. Thompson, Brian Tierney
Author Affiliations +
Abstract
We are exploring the use of highly distributed computing and storage architectures to provide all aspects of collecting, storing, analyzing, and accessing large data-objects. These data-objects can be anywhere from tens of MBytes to tens of GBytes in size. Examples are: single large images from electron microscopes, video images such as cardio- angiography, sets of related images such as MRI data and images and numerical data such as the output from a particle accelerator-experiment. The sources of such data objects are often remote from the users of the data and from available large-scale storage and computation systems. Our Large Data- object Management system provides network interface between the object sources, the data management system and the user of the data. As the data is being stored, a cataloguing system automatically creates and stores condensed versions of the data, textual metadata and pointers to the original data. The catalogue system provides a Web based graphical interface to the data. The user is able the view the low- resolution data with a standard internet connection and Web browser, or if high-resolution is required can use a high- speed connection and special application programs to view the high-resolution original data.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
William E. Johnston, Jin Guojun, Jason Lee, Mary R. Thompson, and Brian Tierney "Distributed large data-object management architecture", Proc. SPIE 3022, Storage and Retrieval for Image and Video Databases V, (15 January 1997); https://doi.org/10.1117/12.263437
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KEYWORDS
Data storage

Imaging systems

Data modeling

Distributed computing

Video

Computer architecture

Electron microscopes

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