Distributed GraphLab: A Framework for Machine Learning and Data Mining in the Cloud
Summary: Distributed GraphLab extends graph-parallel ML/DM to the cloud with strong data consistency. Introduces graph-based pipelined locking and data versioning to reduce network latency, adds Chandy-Lamport snapshot fault tolerance, and demonstrates 1–2 orders of magnitude speedups over Hadoop on EC2. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yucheng Low
- 2. Joseph Gonzalez
- 3. Aapo Kyrola
- 4. Danny Bickson
- 5. Carlos Guestrin
- 6. Joseph M. Hellerstein
Incoming Citations (Sorted by Pagerank)
Showing 23 of 123 citing papers.
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 |
|---|---|---|---|---|
| 4 | Pregel: A System for Large-Scale Graph Processing | 2010 | SIGMOD | 0.0019005923 |
| 328 | An Architecture for Parallel Topic Models | 2010 | VLDB | 0.0002728514 |
| 660 | Large Graph Processing in the Cloud | 2010 | SIGMOD | 0.00018493984 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,953 | Distributed Evaluation of Subgraph Queries Using Worst-case Optimal Low-Memory Dataflows | 2018 | VLDB | 9.9665955e-05 |
| 5,788 | MOCgraph: Scalable Distributed Graph Processing Using Message Online Computing | 2015 | VLDB | 5.3273911e-05 |
| 7,652 | LA3: A Scalable Link- and Locality-Aware Linear Algebra-Based Graph Analytics System | 2018 | VLDB | 4.6875579e-05 |
| 9,596 | Scalable Graph Convolutional Network Training on Distributed-Memory Systems | 2023 | VLDB | 4.319218e-05 |
| 558 | Trinity: A Distributed Graph Engine on a Memory Cloud | 2013 | SIGMOD | 0.00020168032 |
| 7,125 | Fast Failure Recovery in Distributed Graph Processing Systems | 2015 | VLDB | 4.8246382e-05 |
| 7,687 | Experimental Analysis of Distributed Graph Systems | 2018 | VLDB | 4.677974e-05 |
| 1,877 | Large-Scale Distributed Graph Computing Systems: An Experimental Evaluation | 2015 | VLDB | 0.00010236803 |
| 4,830 | Systems for Big-Graphs | 2014 | VLDB | 5.8924342e-05 |
| 3,232 | Managing Large Dynamic Graphs Efficiently | 2012 | SIGMOD | 7.336861e-05 |