Pipeline Group Optimization on Disaggregated Systems

Summary: Group concurrent pipelines by data-access similarity to fetch shared data once from disaggregated memory to compute nodes. With caching and a fast communication layer, this reduces redundant transfers and significantly boosts multi-query performance versus isolated pipelines. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID: 489
Venue: CIDR
Year: 2023
Pagerank: 4.1945683e-05
Overall Rank: 11,152 | 22.42%
DOI: -

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Rank	Citing Paper	Year	Venue	Pagerank

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Showing 11 of 11 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
35	MonetDB/X100: Hyper-Pipelining Query Execution	2005	CIDR	0.00076197749
80	Weaving Relations for Cache Performance	2001	VLDB	0.00055721729
418	Morsel-Driven Parallelism: A NUMA-Aware Query Evaluation Framework for the Many-Core Age	2014	SIGMOD	0.00023729211
830	Main-Memory Scan Sharing For Multi-Core CPUs	2008	VLDB	0.00016171897
2,358	PolarDB Serverless: A Cloud Native Database for Disaggregated Data Centers	2021	SIGMOD	8.9617346e-05
3,841	Farview: Disaggregated Memory with Operator Off-loading for Database Engines	2022	CIDR	6.7103563e-05
4,247	Rethinking Data Management Systems for Disaggregated Data Centers	2020	CIDR	6.325596e-05
4,483	DFI: The Data Flow Interface for High-Speed Networks	2021	SIGMOD	6.148188e-05
6,388	Optimizing Data-intensive Systems in Disaggregated Data Centers with TELEPORT	2022	SIGMOD	5.0851841e-05
7,306	DAPHNE: An Open and Extensible System Infrastructure for Integrated Data Analysis Pipelines	2022	CIDR	4.7678574e-05
9,464	Memory Efficient Scheduling of Query Pipeline Execution	2022	CIDR	4.3355852e-05

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977	Pipelining in Multi-Query Optimization	2001	PODS	0.0001488881
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