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Hybrid Pulling/Pushing for I/O-Efficient Distributed and Iterative Graph Computing

Summary: Hybrid push/pull for I/O-efficient distributed and iterative graph computing on disk-resident data. Proposes b-pull, a block-centric pull that clusters vertices and edges to shift I/O from receivers to senders, coupled with a seamless push/pull switch and a performance predictor to adapt to workloads. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5129
Venue
SIGMOD
Year
2016
Pagerank
4.3634964e-05
Overall Rank
9,282 | 35.43%
DOI
10.1145/2882903.2882938

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Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
5,017 TurboGraph++: A Scalable and Fast Graph Analytics System 2018 SIGMOD 5.7574792e-05
9,330 Parallel Query Processing: To Separate Communication from Computation 2022 SIGMOD 4.3556432e-05
11,757 My Weak Consistency is Strong: When Bad Things Do Not Come in Threes 2017 CIDR 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 9 of 9 cited papers.

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

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