Skip to content

Instantly share code, notes, and snippets.

View vladimir-bukhtoyarov's full-sized avatar
🏠
Working from home

Vladimir Bukhtoyarov vladimir-bukhtoyarov

🏠
Working from home
  • vk
  • Saint-Petersburg, Russia
  • 05:32 (UTC +03:00)
View GitHub Profile
@raphw
raphw / agent.patch
Last active September 9, 2017 19:53
Self-attachment agent for JOL
Index: jol-core/src/main/java/org/openjdk/jol/util/VMSupport.java
IDEA additional info:
Subsystem: com.intellij.openapi.diff.impl.patch.CharsetEP
<+>UTF-8
===================================================================
--- jol-core/src/main/java/org/openjdk/jol/util/VMSupport.java (revision 31:9a546334aa57fa0e114db159b2a8a5345c249b3e)
+++ jol-core/src/main/java/org/openjdk/jol/util/VMSupport.java (revision 31+:9a546334aa57+)
@@ -35,13 +35,22 @@
import javax.management.openmbean.CompositeDataSupport;
import java.io.PrintWriter;
@debasishg
debasishg / gist:8172796
Last active July 5, 2024 11:53
A collection of links for streaming algorithms and data structures

General Background and Overview

  1. 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.
  2. Models and Issues in Data Stream Systems
  3. 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
  4. Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
  5. [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&amp;rep=rep1&amp;t