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Helios: An Adaptive and Query Workload-driven Partitioning Framework for Distributed Graph Stores

Summary: Helios: adaptive, workload-driven partitioning for distributed graph stores; uses workloads to locate active vertices and edges, balancing partition load. RDF integration lowers cross-node traffic and preserves partition quality under changing workloads. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5634
Venue
SIGMOD
Year
2019
Pagerank
4.1945683e-05
Overall Rank
11,651 | 18.95%
DOI
10.1145/3299869.3300103

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

Rank Cited Paper Year Venue Pagerank
1,675 A Distributed Graph Engine for Web Scale RDF Data 2013 VLDB 0.00010947606
2,595 LEOPARD: Lightweight Edge-Oriented Partitioning and Replication for Dynamic Graphs 2016 VLDB 8.4735292e-05
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