Title :
Parallel storage and retrieval of pixmap images
Author :
Hersch, Roger D.
Author_Institution :
Ecole Polytech. Federale de Lausanne, Switzerland
Abstract :
To fulfill the requirement of rapid access to huge amounts of uncompressed pixmap image data, a parallel image server architecture is proposed, based on arrays of intelligent disk nodes, with each disk node composed of one processor and one disk. It is shown how images can be partitioned into extents and efficiently distributed among available intelligent disk nodes. The image server´s performance is analyzed according to various parameters such as the number of cooperating disk nodes, the sizes of image file extents, the available communication throughput, and the processing power of disk node and image server processors. Important image access speed improvements are obtained by image extent caching and image part extraction in disk nodes. With T800 transputer-based technology, a system composed of eight disk nodes offers access to three full-color 512×512 pixmap image parts per second (2.4 megabytes per second). For the same configuration but with the recently announced T9000 transputer, image access throughput is eight images per second (6.8 megabytes per second)
Keywords :
information retrieval systems; parallel processing; visual databases; T800 transputer-based technology; communication throughput; cooperating disk nodes; image access throughput; image extent caching; image part extraction; image server processors; image storage and retrieval; intelligent disk nodes; parallel image server architecture; parallel storage; pixmap images; Biology; Biomedical imaging; Civil engineering; File servers; Image analysis; Image retrieval; Image storage; Network servers; Performance analysis; Throughput;
Conference_Titel :
Mass Storage Systems, 1993. Putting all that Data to Work. Proceedings., Twelfth IEEE Symposium on
Conference_Location :
Monterey, CA
Print_ISBN :
0-8186-3460-X
DOI :
10.1109/MASS.1993.289756