- Probabilistic Data Structures for Web Analytics and Data Mining : A great overview of the space of probabilistic data structures and how they are used in approximation algorithm implementation.
- Models and Issues in Data Stream Systems
- Philippe Flajolet’s contribution to streaming algorithms : A presentation by Jérémie Lumbroso that visits some of the hostorical perspectives and how it all began with Flajolet
- Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
- [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep=rep1&t
# 0 is too far from ` ;) | |
set -g base-index 1 | |
# Automatically set window title | |
set-window-option -g automatic-rename on | |
set-option -g set-titles on | |
#set -g default-terminal screen-256color | |
set -g status-keys vi | |
set -g history-limit 10000 |
A checklist for designing and developing internet scale services, inspired by James Hamilton's 2007 paper "On Desgining and Deploying Internet-Scale Services."
- Does the design expect failures to happen regularly and handle them gracefully?
- Have we kept things as simple as possible?
FWIW: I (@rondy) am not the creator of the content shared here, which is an excerpt from Edmond Lau's book. I simply copied and pasted it from another location and saved it as a personal note, before it gained popularity on news.ycombinator.com. Unfortunately, I cannot recall the exact origin of the original source, nor was I able to find the author's name, so I am can't provide the appropriate credits.
- By Edmond Lau
- Highly Recommended 👍
- http://www.theeffectiveengineer.com/
Here are the steps to installing and setting up GDB on Mac OS Sierra/High Sierra.
Run brew install gdb
.
On starting gdb, you will get the following error:
Unable to find Mach task port for process-id 2133: (os/kern) failure (0x5).
(please check gdb is codesigned - see taskgated(8))
To fix this error, follow the following steps:
-module(timetop). | |
-export([top/2]). | |
top(Duration, Count) -> | |
OldPrio = erlang:process_flag(priority, high), | |
Result = scheduled_time_top(Duration), | |
erlang:process_flag(priority, OldPrio), | |
lists:sublist(Result, Count). |