Multi-disk management algorithms
SIGMETRICS '87 Proceedings of the 1987 ACM SIGMETRICS conference on Measurement and modeling of computer systems
SIGMOD '87 Proceedings of the 1987 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
Access path selection in a relational database management system
SIGMOD '79 Proceedings of the 1979 ACM SIGMOD international conference on Management of data
Proceedings of the 2nd International Workshop on High Performance Transaction Systems
GAMMA - A High Performance Dataflow Database Machine
VLDB '86 Proceedings of the 12th International Conference on Very Large Data Bases
Experiments in diffused combinator reduction
LFP '84 Proceedings of the 1984 ACM Symposium on LISP and functional programming
SIGMOD '88 Proceedings of the 1988 ACM SIGMOD international conference on Management of data
DPDS '88 Proceedings of the first international symposium on Databases in parallel and distributed systems
Parallelism and concurrency control performance in distributed database machines
SIGMOD '89 Proceedings of the 1989 ACM SIGMOD international conference on Management of data
Encapsulation of parallelism in the Volcano query processing system
SIGMOD '90 Proceedings of the 1990 ACM SIGMOD international conference on Management of data
Parallel database systems: the future of high performance database systems
Communications of the ACM
Exploiting database parallelism in a message-passing multiprocessor
IBM Journal of Research and Development
Parallelism in relational database management systems
IBM Systems Journal
Dynamic Data Reallocation for Skew Management inShared-Nothing Parallel Databases
Distributed and Parallel Databases
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
Intensive Data Management in Parallel Systems: A Survey
Distributed and Parallel Databases
Locking Performance in a Shared Nothing Parallel Database Machine
IEEE Transactions on Knowledge and Data Engineering
Prototyping Bubba, A Highly Parallel Database System
IEEE Transactions on Knowledge and Data Engineering
Control Versus Data Flow in Parallel Database Machines
IEEE Transactions on Parallel and Distributed Systems
MAGIC: A Multiattribute Declustering Mechanism for Multiprocessor Database Machines
IEEE Transactions on Parallel and Distributed Systems
Hybrid-Range Partitioning Strategy: A New Declustering Strategy for Multiprocessor Database Machines
VLDB '90 Proceedings of the 16th International Conference on Very Large Data Bases
Reordering Query Execution in Tertiary Memory Databases
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
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In dataflow architectures, each dataflow operation is typically executed on a single physical node. We are concerned with distributed data-intensive systems, in which each base (i.e., persistent) set of data has been declustered over many physical nodes to achieve load balancing. Because of large base set size, each operation is executed where the base set resides, and intermediate results are transferred between physical nodes. In such systems, each dataflow operation is typically executed on many physical nodes. Furthermore, because computations are data-dependent, we cannot know until run time which subset of the physical nodes containing a particular base set will be involved in a given dataflow operation. This uncertainty creates several problems.We examine the problems of efficient program loading, dataflow—operation activation and termination, control of data transfer among dataflow operations, and transaction commit and abort in a distributed data-intensive system. We show how these problems are interrelated, and we present a unified set of mechanisms for efficiently solving them. For some of the problems, we present several solutions and compare them quantitatively.