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)
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| 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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