Process And Dataflow Control In Distributed Data-Intensive Systems

Summary: Dataflow ops execute where the declustered base data reside, causing inter-node transfers under runtime uncertainty of active nodes. Presents a unified mechanism for loading, activation/termination, transfer control, and commit/abort, with comparisons. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 2380
Venue: SIGMOD
Year: 1988
Pagerank: 9.3931778e-05
Overall Rank: 2,164 | 84.95%
DOI: -

Incoming Non-self Citations Over Time

Authors

1. William Alexander
2. George Copeland

Incoming Citations (Sorted by Pagerank)

Showing 5 of 5 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
113	Encapsulation of Parallelism in the Volcano Query Processing System	1990	SIGMOD	0.00046764513
197	Data Placement In Bubba	1988	SIGMOD	0.00035201758
1,266	Hybrid-Range Partitioning Strategy: A New Declustering Strategy for Multiprocessor Database Machines	1990	VLDB	0.00012946573
4,421	Reordering Query Execution in Tertiary Memory Databases	1996	VLDB	6.201063e-05
7,593	Parallelism and Concurrency Control Performance in Distributed Database Machines	1989	SIGMOD	4.7019508e-05

Outgoing Citations (Sorted by Pagerank)

Showing 3 of 3 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
1	Access Path Selection in a Relational Database Management System	1979	SIGMOD	0.0040449103
20	GAMMA - A High Performance Dataflow Database Machine	1986	VLDB	0.00086459551
213	THE 5 MINUTE RULE FOR TRADING MEMORY FOR DISC ACCESSES and THE 10 BYTE RULE FOR TRADING MEMORY FOR CPU TIME	1987	SIGMOD	0.00033660051

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9,313	Providing Resiliency to Load Variations in Distributed Stream Processing	2006	VLDB	4.3565355e-05
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