LiteLab: Efficient Large-scale Network Experiments

TL;DR

LiteLab is a lightweight, flexible platform designed for large-scale network experiments, offering high accuracy and scalability, thus enabling researchers to efficiently conduct extensive network studies.

Contribution

The paper introduces LiteLab, a novel platform that combines high accuracy and scalability for large-scale network experiments, with detailed design and performance evaluation.

Findings

LiteLab accurately simulates network parameters.

LiteLab scales to very large networks.

LiteLab is easy to deploy and flexible.

Abstract

Large-scale network experiments is a challenging problem. Simulations, emulations, and real-world testbeds all have their advantages and disadvantages. In this paper we present LiteLab, a light-weight platform specialized for large-scale networking experiments. We cover in detail its design, key features, and architecture. We also perform an extensive evaluation of LiteLab's performance and accuracy and show that it is able to both simulate network parameters with high accuracy, and also able to scale up to very large networks. LiteLab is flexible, easy to deploy, and allows researchers to perform large-scale network experiments with a short development cycle. We have used LiteLab for many different kinds of network experiments and are planning to make it available for others to use as well.