Kexin Rong
krong@stanford.edu

ASAP in Datadog

Excited to see ideas from ASAP made it into Datadog’s new auto-smooth feature. More details are available in their recent blog post.


2-min sketch on FAST

I made a 2 minute video introducing the basic ideas behind FAST, our end-to-end earthquake detection pipeline with sketches. You can find more videos like this on Science Sketches .


FAST code release
We released the source code as well as a user guide for FAST (Fingerprint And Similarity Thresholding), our unsupervised, end-to-end earthquake detection pipeline.

ASAP Blog Post
I wrote a blog post explaining ASAP.

ASAP Paper
Our ASAP Paper got accepted in VLDB 2017 !

ASAP @ Monitorama
I gave a talk on ASAP at Monitorama 2017 [slides] [video]

MacroBase @ Asilomar
I gave a talk on MacroBase at this year's Asilomar Microcomputer Workshop.

ASAP Demo

Check out the preprint and demo for ASAP (automatic smoothing for time series visualization) at futuredata.stanford.edu/asap. I will also be giving a talk at Monitorama 2017.


MacroBase Paper
Our MacroBase Paper got accepted in CIDR and SIGMOD 2017 !

Macrobase on arXiv

We posted new MacroBase results on the arXiv, including new results from production, video monitoring, time-series analysis.


Reproducing Network Research

I wrote a blog post on reproducing results from the SCReAM paper. SCReAM (Self-Clocked Rate Adaptation for Multimedia) is a rate adaptive, delay-based congestion control algorithm devised mainly for conversational video services under LTE environment.