Maglev: A Fast and Reliable Software Network Load Balancer

By Danielle E. Eisenbud, Cheng Yi, Carlo Contavalli, Cody Smith, R. Kononov, Eric Mann-Hielscher, Ardas Cilingiroglu, B. Cheyney, Wentao Shang, J. Hosein. Symposium on Networked Systems Design and Implementation, 2016

350 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/17650831f1900b849fd1914d02337e1d006aea0c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Jennifer Petoff
2. Betsy Beyer
3. Rui Miao
4. Chris Jones
5. Minlan Yu
6. Hongyi Zeng
7. Jeongkeun Lee
8. Changhoon Kim

Citations in the corpus

• Site Reliability Engineering: How Google Runs Production Systems (2016, methodology): “As an example of a broad use case: a layer-3 load balancer developed by Google SREs proved so successful over the years that it was repurposed as a customer-facing prod‐ uct offering via Google Cloud Load Balancer [Eis16].”
• SilkRoad: Making Stateful Layer-4 Load Balancing Fast and Cheap Using Switching ASICs (2017, methodology): “Building cloud-scale L4 load balancing faces two major challenges: Support full bisection tra c with low latency: Data centers have rapid growth in tra c: doubling every year in Facebook [11] and growing by 50 times in six years in Google [40].”