Oluwatosin Oladayo Aramide

Abstract and Figures Statistical modeling of interference power is a useful tool to study and investigate the outage probabilities in homogeneous and heterogeneous cellular networks. Also, the ability to analyze and accurately predict the impact of interference via the use of an interference model is an essential way to improve

Abstract As Artificial Intelligence (AI) transforms various sectors of industry and all spheres of everyday life, there is more necessity to make intelligence relocate towards the place where data is being generated at the edge. This shift is termed Edge AI, and it allows gadgets, including smartphone, sensors, and cost-automated

Deep Dive into AI Fabrics, RoCE, Generative AI & Certification

Whether you're managing config templates, automating infrastructure, or versioning playbooks, Git is your best friend. Here’s a quick-reference guide to the most useful Git commands, categorized by use case. 🔧 Setup & Configuration git config --global user.name "Your Name" git config --global user.email "

If you're tired of waiting on pip to resolve and install dependencies, you're going to love uv. It's a blazing fast, drop-in replacement for pip that makes traditional installs feel sluggish by comparison. ⚡ The Problem Python dependency resolution with pip especially in larger projects

Whether you're setting up a home lab, provisioning virtual machines, or simulating enterprise networks, having your own DHCP server can make things a lot easier. In this guide, I’ll show you how to manually install and configure an ISC DHCP server on Ubuntu, step-by-step. We'll

“If you don't know what's running in your cloud, your wallet does.” When working in AWS, it's easy to spin up infrastructure and forget about it. Between EC2 instances, Lambda functions, NAT Gateways, and S3 buckets, dormant resources can accumulate quickly—and so can

Abstract This blog post presents a standards-based framework for designing data center networks that support artificial intelligence (AI) and machine learning (ML) workloads using Ethernet VPN (EVPN) and Virtual Extensible LAN (VXLAN) technologies. We outline the key network requirements of AI/ML clusters – including high throughput, low latency, and scalability