Author: adriancolyer

Venture Partner with Accel in London, author of 'The Morning Paper'

Interaction networks for learning about objects, relations and physics

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Interaction networks for learning about objects, relations and physics Google DeepMind, NIPS 2016 Welcome back! There were so many great papers from OSDI '16 to cover at the end of last year that I didn't have a chance to get to NIPS. I'm kicking off this year therefore with a few of the Google DeepMind … Continue reading Interaction networks for learning about objects, relations and physics

TensorFlow: A system for large-scale machine learning

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TensorFlow: A system for large-scale machine learning Abadi et al. (Google Brain) OSDI 2016 This is my last paper review for 2016! The Morning Paper will be taking a two week break for the holidays, resuming again on the 2nd January. Sometime inbetween I’ll do a short retrospective on the year. It seems fitting to … Continue reading TensorFlow: A system for large-scale machine learning

FaSST: Fast, scalable and simple distributed transactions with two-sided (RDMA) datagram RPCs

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FaSST: Fast, scalable and simple distributed transactions with two-sided (RDMA) datagram rpcs Kalia et al., OSDI 2016 Back in January I wrote a short piece entitled ‘All change please’ looking at some of the hardware changes making their way to our datacenters and the implications. One of those changes is super-fast networking (as exploited by … Continue reading FaSST: Fast, scalable and simple distributed transactions with two-sided (RDMA) datagram RPCs

SCONE: Secure Linux containers with Intel SGX

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SCONE: Secure Linux Containers with Intel SGX Arnautov et al., OSDI 2016 We looked at Haven earlier this year, which demonstrated how Intel’s SGX could be used to shield an application from an untrusted cloud provider. Today’s paper choice, SCONE, looks at how to employ similar ideas in the context of containers. …existing container isolation … Continue reading SCONE: Secure Linux containers with Intel SGX

Diamond: Automating data management and storage for wide-area, reactive applications

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Diamond: Automating data management and storage for wide-area, reactive applications Zhang et al., OSDI 2016 Diamond tackles the end-to-end problem of building reactive applications, defined here as those that update end-user visible state without requiring any explicit user action: … today’s popular applications are reactive: they provide users with the illusion of continuous synchronization across … Continue reading Diamond: Automating data management and storage for wide-area, reactive applications

XFT: Practical fault-tolerance beyond crashes

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XFT: Practical fault-tolerance beyond crashes Liu et al., OSDI 2016 Here’s something that’s been bugging me for a while now. The state of the art in security has moved from the assumption of a secured perimeter and a trusted environment inside the firewall to a notion of perimeter-less security. It’s pretty much impossible to keep … Continue reading XFT: Practical fault-tolerance beyond crashes

DQBarge: Improving data-quality tradeoffs in large-scale internet services

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DQBarge: Improving data-quality tradeoffs in large-scale Internet services Chow et al. OSDI 2106 I'm sure many of you recall the 2009 classic "The Datacenter as a Computer," which encouraged us to think of the datacenter as a warehouse-scale computer. From being glad simply to have such a computer, the bar keeps on moving. We don't … Continue reading DQBarge: Improving data-quality tradeoffs in large-scale internet services