Software engineering for machine learning: a case study Amershi et al., ICSE'19 Previously on The Morning Paper we’ve looked at the spread of machine learning through Facebook and Google and some of the lessons learned together with processes and tools to address the challenges arising. Today it’s the turn of Microsoft. More specifically, we’ll be … Continue reading Software engineering for machine learning: a case study
Automating chaos experiments in production
Automating chaos experiments in production Basiri et al., ICSE 2019 Are you ready to take your system assurance programme to the next level? This is a fascinating paper from members of Netflix’s Resilience Engineering team describing their chaos engineering initiatives: automated controlled experiments designed to verify hypotheses about how the system should behave under gray … Continue reading Automating chaos experiments in production
One SQL to rule them all: an efficient and syntactically idiomatic approach to management of streams and tables
One SQL to rule them all: an efficient and syntactically idiomatic approach to management of streams and tables Begoli et al., SIGMOD'19 In data processing it seems, all roads eventually lead back to SQL! Today’s paper choice is authored by a collection of experts from the Apache Beam, Apache Calcite, and Apache Flink projects, outlining … Continue reading One SQL to rule them all: an efficient and syntactically idiomatic approach to management of streams and tables
The convoy phenomenon
The convoy phenomenon Blasgen et al., IBM Research Report 1977 (revised 1979) Today we’re jumping from HotOS topics of 2019, to hot topics of 1977! With thanks to Pat Helland for the recommendation, and with Jim Gray as one of the authors, we have a combination that’s very hard to ignore :). Here’s the set-up … Continue reading The convoy phenomenon
Machine learning systems are stuck in a rut
Machine learning systems are stuck in a rut Barham & Isard, HotOS'19 In this paper we argue that systems for numerical computing are stuck in a local basin of performance and programmability. Systems researchers are doing an excellent job improving the performance of 5-year old benchmarks, but gradually making it harder to explore innovative machine … Continue reading Machine learning systems are stuck in a rut
Designing far memory data structures: think outside the box
Designing far memory data structures: think outside the box Aguilera et al., HotOS'19 Last time out we looked at some of the trade-offs between RInKs and LInKs, and the advantages of local in-memory data structures. There’s another emerging option that we didn’t talk about there: the use of far-memory, memory attached to the network that … Continue reading Designing far memory data structures: think outside the box
Fast key-value stores: an idea whose time has come and gone
Fast key-value stores: an idea whose time has come and gone Adya et al., HotOS'19 No controversy here! Adya et al. would like you to stop using Memcached and Redis, and start building 11-factor apps. Factor VI in the 12-factor app manifesto, "Execute the app as one or more stateless processes," to be dropped and … Continue reading Fast key-value stores: an idea whose time has come and gone
