IS-IS Area proxy

Introduction

Following up on the last post, we will explore IS-IS Area Proxy in this post. The main goal of the IS-IS Area proxy is to provide abstraction by hiding the topology. Looking at our toy topology, we see that we have fabrics connected, and the whole network is a single flat level-2 flooding domain. The edge nodes are connected at the ends, transiting multiple fabrics, and view all the nodes in the topology.

IS-IS Average Flooding Rate

Introduction

In recent years, a lot of work has been done to scale IGPs for dense topologies, making IGPs again an interesting area. In this blog post, we will look at IS-IS Flooding and how we can measure the flooding rate, and in the future post explore Dynamic Flooding and Area Proxy.

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.