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 Migrating a privacy-safe information extraction system to a Software 2.0 design
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Programs, life cycles, and laws of software evolution
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 Programs, life cycles, and laws of software evolution
Let’s Encrypt: an automated certificate authority to encrypt the entire web
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 Let’s Encrypt: an automated certificate authority to encrypt the entire web
Watching you watch: the tracking system of over-the-top TV streaming devices
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 Watching you watch: the tracking system of over-the-top TV streaming devices
Cloudburst: stateful functions-as-a-service
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 Cloudburst: stateful functions-as-a-service
POTS: protective optimization technologies
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 POTS: protective optimization technologies
The measure and mismeasure of fairness: a critical review of fair machine learning
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 The measure and mismeasure of fairness: a critical review of fair machine learning
Seamless offloading of web app computations from mobile device to edge clouds via HTML5 Web Worker migration
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 Seamless offloading of web app computations from mobile device to edge clouds via HTML5 Web Worker migration
Narrowing the gap between serverless and its state with storage functions
Narrowing the gap between serverless and its state with storage functions, Zhang et al., SoCC'19 "Narrowing the gap" was runner-up in the SoCC'19 best paper awards. While being motivated by serverless use cases, there's nothing especially serverless about the key-value store, Shredder, this paper reports on. Shredder's novelty lies in a new implementation of an … Continue reading Narrowing the gap between serverless and its state with storage functions
Reverb: speculative debugging for web applications
Reverb: speculative debugging for web applications, Netravali & Mickens, SOCC'19 This week we'll be looking at a selection of papers from the 2019 edition of the ACM Symposium of Cloud Computing (SoCC). First up is Reverb, which won a best paper award for its record and replay debugging framework that accommodates speculative edits (i.e., candidate … Continue reading Reverb: speculative debugging for web applications
the morning paper 