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2017-suee-data-set

2018-drdos-mitigation_evaluation

2019-network-data-sets

3p3-evaluation

alekto

Zero Trust Network Framework

assignmentconverter

bft-smart

BFT-SMaRt's source code

bft-smarties

An extension of the popular framework BFT-SMaRt for state-machine replication.

btcmon

coinview

compact-calendar

Compact Calendar

debs2018-log-pruning-evaluation

Workload generator, evaluation source code, and analysis for event log pruning.

debs2018-rl-evaluation

A shopping cart microservice with two reference implementations (in-memory, postgresql) for comparison.

debs2018-rl-workload-generator

Generates a set of workloads for the example shopping cart service of retro-λ.

disaster-app

A support system for first responders in disastrous and emergency scenarios.

eta-adaptive

fieldhunter

Re-implementation of the protocol reverse engineering approach FieldHunter

general-purpose-network-testing-framework

goo-csp

Contiguous Sequential Pattern (CSP) algorithm [Goo et al., 2019]

html5slides-uulm

An HTML5-based slide deck (Ulm University Corporate Design)

latex-lecture-templates

Vorlagen für Klausuren und Übungsblätter

latexslides-uulm

Template for LaTeX beamer slides using #uulm corporate design.

libsig_pets

A library of signatures developed in the exercises for the PETS lecture in winter semester 16/17 at the Institute of Distributed Systems at Ulm University.

maat

Maat's public releases

monero

Monero: the secure, private, untraceable cryptocurrency

nemesys

NEtwork MEssage Syntax analysYS (WOOT 2018) and NEtwork MEssage TYpe identification by aLignment (INFOCOM 2020)

netsim2

optscore-emusphere

OptSCORE Emusphere Platform

optscore-parallel-vscale-smr

Repository containing the code base used for demonstrating the effects shown in the paper "Resource-efficient state-machine replication with multithreading and vertical scaling", EDCC 2018

optscore-rl-agent-optimising-smr

Contains code used in our research on self-optimising SMR systems. The goal was to create a Deep Reinforcement Learning-based training environment for training agents which can automatically reconfigure SMR systems at runtime, in order to react to changing conditions and optimise performance.