Maximum Flow Problems

Introduction

In optimization theory, Maximum Flow problems involve finding the maximum flow (or traffic) that can be sent from one place to another, subject to certain constraints. In this post, we will look at Maximum Flow algorithms applied to Networking and the questions they can help answer.

Fundamentals of Discrete Event Simulation(DES)

Introduction

In the last blog, we looked at SIS/SIR epidemic modeling using Discrete event simulation. This post will cover some fundamental concepts of Discrete Event Simulation, look at a few basic examples to develop an understanding, and end with a simulation of M/M/1 queuing model.

Epidemic Modeling(DES)

Introduction

One of the things I have been trying to play recently with is Discrete Event Simulation(DES). I think it is a powerful tool for validating ideas. In this post, we will look at a toy epidemic model to simulate SIS/SIR models.

Network Centrality and Robustness

Introduction

A system is robust if the failure of some components doesn’t affect its function. As network engineers, we face various types of network failures like link, node failures all the time.

Five Number Summary for Network Topologies

Introduction

You may or may not have already heard about the Five Number summary for a dataset. It’s basically a set of descriptive statistics for a given dataset, which provides an idea about the dataset. Those are: