Mizan: a system for dynamic load balancing in large-scale graph processing
By Zuhair Khayyat, Karim Awara, Amani Alonazi, Hani Jamjoom, Dan Williams, Panos Kalnis. European Conference on Computer Systems, 2013
337 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Information Systems, Signal Processing
View Paper: https://www.semanticscholar.org/paper/896bda22b1c5685dca9ebcd8d84888c1cd3e37be
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
In Information Systems
In Signal Processing
Citations in the corpus
- PowerLyra: Differentiated Graph Computation and Partitioning on Skewed Graphs (2019, background): “Mizan [37] leverages vertex migration for dynamic load balancing.”
- Gemini: A Computation-Centric Distributed Graph Processing System (2016, neutral): “Pull: Existing distributed graph processing systems either adopt a push-style [3, 26, 32, 43, 44] or a pull-style [11, 12, 16, 17, 23, 30] model, or provide both while used separately [13, 19, 22].”
- GridGraph: Large-Scale Graph Processing on a Single Machine Using 2-Level Hierarchical Partitioning (2015, background): “However, load imbalance [11, 20], synchronization overhead [33] and fault tolerance overhead [27] are still challenges for graph processing in distributed environment.”