NetCache: Balancing Key-Value Stores with Fast In-Network Caching

By Xin Jin, Xiaozhou Li, Haoyu Zhang, Robert Soulé, Jeongkeun Lee, Nate Foster, Changhoon Kim, Ion Stoica. Symposium on Operating Systems Principles, 2017

699 citations recorded by the source corpus.

Subfields: Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/f4a720d57c118e6048b1ca2abe2b8916bef18e79

How researchers see this paper

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

In Computer Networks and Communications

1. Michael Kaminsky
2. D. Andersen
3. Anuj Kalia
4. Changhoon Kim
5. Nate Foster
6. Aditya Akella
7. Xin Jin
8. Ion Stoica

Citations in the corpus

• Datacenter RPCs can be General and Fast (2018, background): “Programmable switches allow in-network optimizations such as reducing network round trips for distributed protocols [37, 43, 44], and in-network caching [36].”
• ATP: In-network Aggregation for Multi-tenant Learning (2021, background): “However, datacenter networks and workloads have evolved, and there is a strong case to support common application functionality within the network [22, 41, 71].”
• NetChain: Scale-Free Sub-RTT Coordination (2018, methodology): “NetChain uses the same mechanism as NetCache [18] to support variable-length values with multiple stages.”