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Distributed parallel data storage systems: a scalable approach to high speed image servers
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Source International Multimedia Conference archive
Proceedings of the second ACM international conference on Multimedia table of contents
San Francisco, California, United States
Pages: 399 - 405  
Year of Publication: 1994
ISBN:0-89791-686-7
Authors
Brian Tierney  Imaging and Distributed Computing Group, Lawrence Berkeley Laboratory, Berkeley, CA
Jason Lee  Imaging and Distributed Computing Group, Lawrence Berkeley Laboratory, Berkeley, CA
Ling Tony Chen  Data Management Research Group, Lawrence Berkeley Laboratory, Berkeley, CA
Hanan Herzog  Imaging and Distributed Computing Group, Lawrence Berkeley Laboratory, Berkeley, CA
Gary Hoo  Imaging and Distributed Computing Group, Lawrence Berkeley Laboratory, Berkeley, CA
Guojun Jin  Imaging and Distributed Computing Group, Lawrence Berkeley Laboratory, Berkeley, CA
William E. Johnston  Imaging and Distributed Computing Group, Lawrence Berkeley Laboratory, Berkeley, CA and Lawrence Berkeley Laboratory
Sponsors
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
SIGMIS: ACM Special Interest Group on Management Information Systems
SIGGROUP: ACM Special Interest Group on Supporting Group Work
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
SIGCOMM: ACM Special Interest Group on Data Communication
SIGLINK: Hypertext, Hypermedia, and Web
SIGMULTIMEDIA: ACM Special Interest Group on Multimedia
SIGIR: ACM Special Interest Group on Information Retrieval
SIGBIO: ACM Special Interest Group on Biomedical Computing
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 7,   Downloads (12 Months): 35,   Citation Count: 11
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ABSTRACT

We have designed, built, and analyzed a distributed parallel storage system that will supply image streams fast enough to permit multi-user, “real-time”, video-like applications in a wide-area ATM network-based Internet environment. We have based the implementation on user-level code in order to secure portability; we have characterized the performance bottlenecks arising from operating system and hardware issues, and based on this have optimized our design to make the best use of the available performance. Although at this time we have only operated with a few classes of data, the approach appears to be capable of providing a scalable, high-performance, and economical mechanism to provide a data storage system for several classes of data (including mixed multimedia streams), and for applications (clients) that operate in a high-speed network environment.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Hartman, J. H. and Ousterhout, J. K., "Zebra: A Striped Network File System", Proceedings of the USENIX Workshop on File Systems, May 1992.
 
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Langberg, M., "Silicon Graphics Lands Cable Deal with Time Warner Inc.", San Jose Mercury News, June 8, 1993.
 
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Leclerc, Y.G. and Lau, S.Q., Jr.,"TerraVision: A Terrain Visualization System", SRI International, Technical Note #540, Menlo Park, CA, 1994.
 
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Mills, D., "Simple Network Time Protocol (SNTP)", RFC 1361, University of Delaware, August 1992.
 
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Parvin, B., Peng, C., Johnston, W., and Maestre, M.,"Tracking of Tubular Objects for Scientific Applications'', IEEE Conf. on Computer Vision and Pattern Recognition, June 1994, pp. 295- 30 I
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Richer, I and Fuller, B.B, "An Overview of the MAGIC Project," M93B0000173, The MITRE Corp., Bedford, MA, I Dec. 1993.
 
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Tierney, B., Johnston, W., Herzog, H., Hoo, G., Jin, G., Lee, J., "System issues in Implementing High Speed Distributed Parallel Storage Systems", Proceedings of the USENIX Symposium on High Speed Networking, Aug. 1994, LBL-35775.
 
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CITED BY  11

Collaborative Colleagues:
Brian Tierney: colleagues
Jason Lee: colleagues
Ling Tony Chen: colleagues
Hanan Herzog: colleagues
Gary Hoo: colleagues
Guojun Jin: colleagues
William E. Johnston: colleagues