Extending relational query processing with ML inference

February 21, 2020May 25, 2020 ~ Adrian Colyer ~ 1 Comment

Extending relational query processing with ML inference, Karanasos, CIDR'10 This paper provides a little more detail on the concrete work that Microsoft is doing to embed machine learning inference inside an RDBMS, as part of their vision for Enterprise Grade Machine Learning. The motivation is not that inference will perform better inside the database, but ... Continue Reading

Cloudy with a high chance of DBMS: a 10-year prediction for enterprise-grade ML

February 19, 2020May 25, 2020 ~ Adrian Colyer ~ 8 Comments

Cloudy with a high chance of DBMS: a 10-year prediction for enterprise-grade ML, Agrawal et al., CIDR'20 "Cloudy with a high chance of DBMS" is a fascinating vision paper from a group of experts at Microsoft, looking at the transition of machine learning from being primarily the domain of large-scale, high-volume consumer applications to being ... Continue Reading

Migrating a privacy-safe information extraction system to a Software 2.0 design

February 17, 2020May 25, 2020 ~ Adrian Colyer ~ 5 Comments

Migrating a privacy-safe information extraction system to a software 2.0 design, Sheng, CIDR'20 This is a comparatively short (7 pages) but very interesting paper detailing the migration of a software system to a 'Software 2.0' design. Software 2.0, in case you missed it, is a term coined by Andrej Karpathy to describe software in which ... Continue Reading

Programs, life cycles, and laws of software evolution

February 14, 2020May 25, 2020 ~ Adrian Colyer ~ 5 Comments

Programs, life cycles, and laws of software evolution, Lehman, Proc. IEEE, 1980 Today's paper came highly recommended by Kevlin Henney and Nat Pryce in a Twitter thread last week, thank you both! The footnotes show that the manuscript for this paper was submitted almost exactly 40 years ago - on the 27th February 1980. The ... Continue Reading

Let’s Encrypt: an automated certificate authority to encrypt the entire web

February 12, 2020May 25, 2020 ~ Adrian Colyer ~ 19 Comments

Let's encrypt: an automated certificate authority to encrypt the entire web, Aas et al., CCS'19 This paper tells the story of Let's Encrypt, from it's early beginnings in 2012/13 all the way to becoming the world's largest HTTPS Certificate Authority (CA) today - accounting for more currently valid certificates than all other browser-trusted CAs combined. ... Continue Reading

Watching you watch: the tracking system of over-the-top TV streaming devices

February 10, 2020May 25, 2020 ~ Adrian Colyer ~ 14 Comments

Watching you watch: the tracking ecosystem of over-the-top TV streaming devices, Moghaddam et al., CCS'19 The results from this paper are all too predictable: channels on Over-The-Top (OTT) streaming devices are insecure and riddled with privacy leaks. The authors quantify the scale of the problem, and note that users have even less viable defence mechanisms ... Continue Reading

Cloudburst: stateful functions-as-a-service

February 7, 2020May 25, 2020 ~ Adrian Colyer ~ 2 Comments

Cloudburst: stateful functions-as-a-service, Sreekanti et al., arXiv 2020 Today's paper choice is a fresh-from-the-arXivs take on serverless computing from the RISELab at Berkeley, addressing some of the limitations outlined in last year's 'Berkeley view on serverless computing.' Stateless is fine until you need state, at which point the coarse-grained solutions offered by current platforms limit ... Continue Reading

POTS: protective optimization technologies

February 5, 2020May 25, 2020 ~ Adrian Colyer ~ 1 Comment

POTS: Protective optimization technologies, Kulynych, Overdorf et al., arXiv 2019 With thanks to @TedOnPrivacy for recommending this paper via Twitter. Last time out we looked at fairness in the context of machine learning systems, coming to the realisation that you can't define 'fair' solely from the perspective of an algorithm and the data it is ... Continue Reading

The measure and mismeasure of fairness: a critical review of fair machine learning

February 3, 2020May 25, 2020 ~ Adrian Colyer ~ 3 Comments

The measure and mismeasure of fairness: a critical review of fair machine learning, Corbett-Davies & Goel, arXiv 2018 With many thanks to Ben Fried and the ACM Queue editorial board for the paper recommendation. We've visited the topic of fairness in the context of machine learning several times on The Morning Paper (see e.g. [1]1, ... Continue Reading

Seamless offloading of web app computations from mobile device to edge clouds via HTML5 Web Worker migration

January 31, 2020May 25, 2020 ~ Adrian Colyer ~ 15 Comments

Seamless offloading of web app computations from mobile device to edge clouds via HTML5 web worker migration, Jeong et al., SoCC'19 [^1] This paper caught my eye for its combination of an intriguing idea (opportunistic offload of computation from mobile devices to the edge) and the elegance of the way the web worker interface supports ... Continue Reading

the morning paper

a random walk through Computer Science research, by Adrian Colyer
Made delightfully fast by strattic