[NeurIPS'23] H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models.

Probabilistic data structures in python http://pyprobables.readthedocs.io/en/latest/index.html

Implementation for - Mitigating DNS random subdomain DDoS attacks by distinct heavy hitters sketches

Reinforcement Learning (RL)-based routing algorithm for SDN networks created from scratch using Python.

Heavy-Hitter detection in P4 switch ASIC using Inter-Packet Gap

Mastic: Private Weighted Heavy-Hitters and Attribute-Based Metrics

Source code of "Network-Wide Routing-Oblivious Heavy Hitters" paper by Ran Ben Basat, Gil Einziger, Shir Landau Feibish, Jalil Moraney, and Danny Raz (ACM/IEEE ANCS 2018).

Sliding-window and regular top-K sketches, based on HeavyKeeper

Comparing the Double Space Saving DS to the Heavy Keeper DS for the real world input streams

A novel approach based on Random Forests that quickly and accurately identifies elephant flows in programmable Data Planes.

PoC (Proof of Concept) caching optimization algorithm for graphical tree environment, written entirely in pure C++.

Efficient Flow Recording with InheritSketch on Programmable Switches (ICDCS2023)

Code for "PLASMA: Private, Lightweight Aggregated Statistics against Malicious Adversaries"

Implementation of streaming algorithms (Misra-Gries & Lossy Counting) for getting frequent items from data streams.

Demo app for the https://github.com/keilerkonzept/topk sliding top-k sketch library

My Thesis on the data structure Count-Min Sketch and it's applications.

P4 implementation of CMSIS, a heavy-hitter detection algorithm for programmable switches.