End-to-end Performance Isolation Through Virtual Datacenters

By Sebastian Angel, Hitesh Ballani, Thomas Karagiannis, G. O'Shea, Eno Thereska. 2014

124 citations recorded by the source corpus.

Subfields: Evaluation & Benchmarks

How researchers see this paper

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

In Evaluation & Benchmarks

1. Aakanksha Chowdhery
2. Ruoming Pang
3. Ryan Sepassi
4. Yonghui Wu
5. Joseph Dean

Citations in the corpus

• Pathways: Asynchronous Distributed Dataflow for ML (2022, background): “For example, general-purpose virtualization enables cloud applications to efficiently share multi-tenant resources with performance isolation (Angel et al., 2014; Wentzlaff et al., 2010; Shahrad and Wentzlaff, 2016; Baumann et al., 2009), but cloud providers dedicate accelerators to individual users.”