EDBT 2026 Demo / reviewers in the wild / expert
Sri Tallapragada
dblp:207/1843
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2017
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer networks
1 paper |
Network performance modeling · 33% Network management and operations · 33% Network measurement and analytics · 33% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Network performance modeling
network emulation |
0.3 | 1 | 2017 | CrystalNet: Faithfully Emulating Large Production Networks · SOSP 2017 |
Network management and operations
network validation |
0.3 | 1 | 2017 | CrystalNet: Faithfully Emulating Large Production Networks · SOSP 2017 |
Methods — techniques the papers use, named apart from their topics
real device firmware · 0.3container and virtual machine emulation · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | CrystalNet: Faithfully Emulating Large Production NetworksabstractNetwork reliability is critical for large clouds and online service providers like Microsoft. Our network is large, heterogeneous, complex and undergoes constant churns. In such an environment even small issues triggered by device failures, buggy device software, configuration errors, unproven management tools and unavoidable human errors can quickly cause large outages. A promising way to minimize such network outages is to proactively validate all network operations in a high-fidelity network emulator, before they are carried out in production. To this end, we present CrystalNet, a cloud-scale, high-fidelity network emulator. It runs real network device firmwares in a network of containers and virtual machines, loaded with production configurations. Network engineers can use the same management tools and methods to interact with the emulated network as they do with a production network. CrystalNet can handle heterogeneous device firmwares and can scale to emulate thousands of network devices in a matter of minutes. To reduce resource consumption, it carefully selects a boundary of emulations, while ensuring correctness of propagation of network changes. Microsoft's network engineers use CrystalNet on a daily basis to test planned network operations. Our experience shows that CrystalNet enables operators to detect many issues that could trigger significant outages. Hongqiang Harry Liu, Yibo Zhu 0001, Jitendra Padhye, Jiaxin Cao, Sri Tallapragada, Nuno P. Lopes, Andrey Rybalchenko, Guohan Lu |
SOSP | 5 |