Managing persistent objects in a multi-level store
SIGMOD '91 Proceedings of the 1991 ACM SIGMOD international conference on Management of data
Tapes hold data, too: challenges of tuples on tertiary store
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Long term file migration: development and evaluation of algorithms
Communications of the ACM
Predictions and Challenges for Database Systems in the Year 2000
VLDB '93 Proceedings of the 19th International Conference on Very Large Data Bases
Exegesis of DBC/1012 and P-90 - Industrial Supercomputer Database Machines
PARLE '92 Proceedings of the 4th International PARLE Conference on Parallel Architectures and Languages Europe
A Survey of DBMS Research Issues in Supporting Very Large Tables
FODO '93 Proceedings of the 4th International Conference on Foundations of Data Organization and Algorithms
To Support Global Change Research
To Support Global Change Research
AN OVERVIEW OF THE SEQUOIA 2000 PROJECT
AN OVERVIEW OF THE SEQUOIA 2000 PROJECT
ADC '01 Proceedings of the 12th Australasian database conference
Scheduling Queries for Tape-Resident Data
Euro-Par '00 Proceedings from the 6th International Euro-Par Conference on Parallel Processing
The parallel I/O architecture of the high-performance storage system (HPSS)
MSS '95 Proceedings of the 14th IEEE Symposium on Mass Storage Systems
Optimal Scheduling Algorithms for Tertiary Storage
Distributed and Parallel Databases
Efficient reduction of access latency through object correlations in virtual environments
EURASIP Journal on Applied Signal Processing
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Tertiary storage devices have long been in use for storing massive amounts of data in file-oriented mass storage systems. However, their use in database systems is relatively new. Database systems associate more structure to the data than just raw sequence of bytes. Hence, if they are allowed control of the tertiary memory devices, they can greatly reduce access cost by performing informed caching, query optimization, and query scheduling. However, most conventional database systems are designed for data stored on magnetic disks. Accesses to tertiary storage devices are slow and nonuniform compared to secondary storage devices. Therefore, inclusion of tertiary memory as an active part of the storage hierarchy requires a rethinking of conventional query processing techniques. In this project, our aim is to design a database system that can use its knowledge of the data layout on storage devices to increase the speed of running queries.