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The Distributed-Parallel Storage System (DPSS) Home Page

Data Intensive Distributed Computing Group
Lawrence Berkeley National Laboratory

The Distributed-Parallel Storage System (DPSS) is a scalable, high-performance, distributed-parallel data storage system orginally developed as part of the DARPA -funded MAGIC Testbed, with additional support from the U.S. Dept. of Energy, Energy Research Division, Mathematical, Information, and Computational Sciences Office.

The DPSS is a data block server, which provides high-performance data handling and architecture for building high-performance storage systems from low-cost commodity hardware components. This technology has been quite successful in providing an economical, high-performance, widely distributed, and highly scalable architecture for caching large amounts of data that can potentially be used by many different users.

Current performance results are 980 Mbps across a LAN and 570 Mbps across a WAN.

About the DPSS

Using and Installing a DPSS

DPSS Integration:

DPSS Applications

  • A Medical Imaging application using the DPSS and ImgLib
  • Terravision: The terrain navigation program that was the initial target application for the DPSS.
  • DIV : A large image viewing application from the EROS Data Center.
  • A High Energy Physics data processing application.
  • Most of these applications are examples of the Wide Area Large Data Object architecture (WALDO) that we have been developing.

You may also perform a keyword search on this documentation.

(*) Some of these pages have restricted access. If you don't have access to these pages, contact Brian Tierney (, and tell me why you'd like access and what hosts you will be connecting from.

DPSS Private pages

COPYRIGHT NOTICE: Image Server System (ISS) and Distributed Parallel Storage System (DPSS) are Copyright © 1994 by Lawrence Berkeley Laboratory

This page is the responsiblity of Brian L. Tierney. ( Support Credits identify the funding sources and the organizational context of the work described in this document.
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Credits: The research and development of the Distributed Systems Department i s funded by the U.S. Dept. of Energy, Office of Science, Office of Advanced Scie ntific Computing Research, Mathematical, Information, and Computational Sciences Division

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This page last modified: Wednesday, 16-Jun-2004 16:54:35 PDT