Disk-tape joins: synchronizing disk and tape access
Proceedings of the 1995 ACM SIGMETRICS joint international conference on Measurement and modeling of computer systems
Mariposa: a wide-area distributed database system
The VLDB Journal — The International Journal on Very Large Data Bases
Building knowledge base management systems
The VLDB Journal — The International Journal on Very Large Data Bases
Database systems for efficient access to tertiary memory
MSS '95 Proceedings of the 14th IEEE Symposium on Mass Storage Systems
Lineage retrieval for scientific data processing: a survey
ACM Computing Surveys (CSUR)
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Achieving the goals of the U.S. Global Change Research Program will depend not only on improved measurement systems, but also on improved data systems that will allow scientists to manipulate the resulting large-scale data sets and climate system models, as well as compare model results with observations. New modes of research, especially the synergistic interactions between observations and model-based simulations, will require massive amounts of diverse data to be stored, organized, accessed, distributed, visualized, and analyzed. Computer scientists and environmental researchers at several UC campuses are collaborating to address these challenges. Refinements in computing--specifically involving storage, networking, file systems, extensible data base management, and visualization--will be applied to specific Global Change applications. We have named this project Sequoia 2000, after the giant trees of the Sierra Nevada, the largest organisms on the Earth''s land surface.