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

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

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

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

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