Mariposa
Distributed Database Management System

Principal Investigator: Prof. Michael Stonebraker
(EECS Dept., University of California at Berkeley)

Mariposa addresses fundamental problems in the standard approach to distributed data management. We believe that the underlying assumptions traditionally made while designing distributed data managers do not apply to today's wide-area network (WAN) environments. Mariposa allows DBMSs which are far apart and under different administrative domains to work together to process queries, by means of an economic paradigm in which processing sites buy and sell data and query processing services. Mariposa has been designed with the following principles in mind:

• Scalability to a large number of cooperating sites.
• Local autonomy.
• Data mobility.
• No global synchronization.
• Easily configurable policies.

June 1996 marks the Alpha-1 release of Mariposa. This release executes a subset of the SQL-3 query language using our economic framework, with a number of extensions. This version is available for download.   Further releases will add features and improve performance.

The Mariposa project is sponsored by the Army Research Office (ARO) under grant FDDAAH04-94-G-0223 and the Advanced Research Projects Agency (ARPA) under grant DABT63-92-C-007.

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Modified: $Date: 1999/02/03 01:49:30 $ by $Author: aoki $