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:

Spectral Clustering

Motivation

Clustering is a way to make sense of the data by grouping similar values into a group. There are many ways to achieve that and in this post we will be looking at one of the way based on spectral method. Spectral clustering provides a starting point to understand graphs with many nodes by clustering them into 2 or more clusters. This clustering technique can also be applied for analyzing general data. This technique is based on Linear algebra and Graph theory.