Distributed databases principles and systems
Distributed databases principles and systems
Process and dataflow control in distributed data-intensive systems
SIGMOD '88 Proceedings of the 1988 ACM SIGMOD international conference on Management of data
SIGMOD '88 Proceedings of the 1988 ACM SIGMOD international conference on Management of data
A benchmark of NonStop SQL on the debit credit transaction
SIGMOD '88 Proceedings of the 1988 ACM SIGMOD international conference on Management of data
Comparison of dataflow control techniques in distributed data-intensive systems
SIGMETRICS '88 Proceedings of the 1988 ACM SIGMETRICS conference on Measurement and modeling of computer systems
Parallelizing a database programming language
DPDS '88 Proceedings of the first international symposium on Databases in parallel and distributed systems
FAD, a Powerful and Simple Database Language
VLDB '87 Proceedings of the 13th International Conference on Very Large Data Bases
SIGMOD '89 Proceedings of the 1989 ACM SIGMOD international conference on Management of data
Query evaluation techniques for large databases
ACM Computing Surveys (CSUR)
Parallelism in relational database management systems
IBM Systems Journal
Parallelism in relational data base systems: architectural issues and design approaches
DPDS '90 Proceedings of the second international symposium on Databases in parallel and distributed systems
Prototyping Bubba, A Highly Parallel Database System
IEEE Transactions on Knowledge and Data Engineering
IEEE Transactions on Knowledge and Data Engineering
A FAD for Data Intensive Applications
IEEE Transactions on Knowledge and Data Engineering
Encapsulation of Parallelism and Architecture-Independence in Extensible Database Query Execution
IEEE Transactions on Software Engineering
| Hi-index | 0.00 |
Bubba is a parallel computer system for data intensive applications under design at MCC. Bubba is intended as a replacement for mainframe systems providing scalable, continuous, high-performance-per-dollar access to large amounts of shared data for a large number of concurrent application types. To meet these ambitious goals, we adopted a data-driven, message passing army of ants approach. In this talk I provide a brief rationale for this choice. I then discuss some implications. Next I describe a number of the mechanisms used to enable and manage parallelism in Bubba. I conclude with an outline of the research methodology used.