Andromeda: performance, isolation, and velocity at scale in cloud network virtualization

Andromeda: performance, isolation, and velocity at scale in cloud network virtualization Dalton et al., NSDI'18 Yesterday we took a look at the Microsoft Azure networking stack, today it’s the turn of the Google Cloud Platform. (It’s a very handy coincidence to have two such experience and system design report papers appearing side by side so … Continue reading Andromeda: performance, isolation, and velocity at scale in cloud network virtualization

Azure accelerated networking: SmartNICs in the public cloud

Azure accelerated networking: SmartNICs in the public cloud Firestone et al., NSDI'18 We’re still on the ‘beyond CPUs’ theme today, with a great paper from Microsoft detailing their use of FPGAs to accelerate networking in Azure. Microsoft have been doing this since 2015, and hence this paper also serves as a wonderful experience report documenting … Continue reading Azure accelerated networking: SmartNICs in the public cloud

NetChain: Scale-free sub-RTT coordination

NetChain: Scale-free sub-RTT coordination Jin et al., NSDI'18 NetChain won a best paper award at NSDI 2018 earlier this month. By thinking outside of the box (in this case, the box is the chassis containing the server), Jin et al. have demonstrated how to build a coordination service (think Apache ZooKeeper) with incredibly low latency … Continue reading NetChain: Scale-free sub-RTT coordination

KV-Direct: High-performance in-memory key-value store with programmable NIC

KV-Direct: High-performance in-memory key-value store with programmable NIC Li et al., SOSP’17 We’ve seen some pretty impressive in-memory datastores in past editions of The Morning Paper, including FaRM, RAMCloud, and DrTM. But nothing that compares with KV-Direct: With 10 programmable NIC cards in a commodity server, we achieve 1.22 billion KV operations per second, which … Continue reading KV-Direct: High-performance in-memory key-value store with programmable NIC

Learning networking by reproducing research results

Learning networking by reproducing research results Yan & McKeown et al., SIGCOMM’17 Students taking Stanford’s Advanced Topics in Networking class have to select a networking research paper and reproduce a result from it as part of a three-week pair project. At the end of the process, they publish their findings on the course’s public Reproducing … Continue reading Learning networking by reproducing research results

The QUIC transport protocol: design and Internet-scale deployment

The QUIC transport protocol: design and Internet-scale deployment Langley et al., SIGCOMM’17 QUIC is a transport protocol designed from the ground up by Google improve the performance of HTTPS traffic. The chances are you’ve already used it - QUIC is deployed in Chrome, in the YouTube mobile app, and in the Google Search app on … Continue reading The QUIC transport protocol: design and Internet-scale deployment

A longitudinal, end-to-end view of the DNSSEC ecosystem

A longitudinal, end-to-end view of the DNSSEC ecosystem Chung et al., USENIX Security 2017 DNS, the Domain Name System, provides a vital function on the Internet, mapping names to values. Unprotected, it's also an attractive target for hackers with attack vectors such DNS spoofing and cache poisoning. Thus about two decades ago a set of … Continue reading A longitudinal, end-to-end view of the DNSSEC ecosystem