Helios: hyperscale indexing for the cloud & edge, Potharaju et al., PVLDB’20 On the surface this is a paper about fast data ingestion from high-volume streams, with indexing to support efficient querying. As a production system within Microsoft capturing around a quadrillion events and indexing 16 trillion search keys per day it would be interesting in its own right, … Continue reading Helios: hyperscale indexing for the cloud & edge – part 1
Month: October 2020
The case for a learned sorting algorithm
The case for a learned sorting algorithm, Kristo, Vaidya, et al., SIGMOD’20 We’ve watched machine learning thoroughly pervade the web giants, make serious headway in large consumer companies, and begin its push into the traditional enterprise. ML, then, is rapidly becoming an integral part of how we build applications of all shapes and sizes. But what about systems … Continue reading The case for a learned sorting algorithm
Orbital edge computing: nano satellite constellations as a new class of computer system
Orbital edge computing: nanosatellite constellations as a new class of computer system, Denby & Lucia, ASPLOS’20. Last time out we looked at the real-world deployment of 5G networks and noted the affinity between 5G and edge computing. In true Crocodile Dundee style, Denby and Lucia are entitled to say “that’s not the edge, this is the edge!”. Today’s paper … Continue reading Orbital edge computing: nano satellite constellations as a new class of computer system
Understanding operational 5G: a first measurement study on its coverage, performance and energy consumption
Understanding operational 5G: a first measurement study on its coverage, performance and energy consumption, Xu et al., SIGCOMM’20 We are standing on the eve of the 5G era… 5G, as a monumental shift in cellular communication technology, holds tremendous potential for spurring innovations across many vertical industries, with its promised multi-Gbps speed, sub-10 ms low … Continue reading Understanding operational 5G: a first measurement study on its coverage, performance and energy consumption
Toward an API for the real numbers
Towards an API for the real numbers, Boehm, PLDI’20 Last time out we saw that even in scientific computing applications built by experts, problems with floating point numbers are commonplace. The idiosyncrasies of floating point representations also show up in more everyday applications such as calculators and spreadsheets. Here the user-base is less inclined to be … Continue reading Toward an API for the real numbers
the morning paper 