A comprehensive framework for evaluating different layer 2 protocols in ethereum

Citation

Abstract

Blockchain technology was created with the motive to establish a decentralized, secured, and transparent system for digital transactions, reducing fraudulent behavior and aiming to stabilize the economy. However, scalability has always been regarded as a key issue that has been limiting the capacity of the system. With the widespread use of blockchain systems across the world, the demand for a high-speed transaction and lower latency in finality has increased. This is a significant barrier with the growing chain as it takes a substantial amount of time to process the transaction in Layer 1 which also adds in additional cost that makes each transaction more expensive and less user friendly. One of the leading solutions to scalability issues has been rollups that conduct transactions outside of the main chain and publish the summary of transactions in the main chain. However, rollup technology is relatively new and the protocols built on top of this are not very user-friendly. In this research, we propose and develop a Layer 2 recommendation system based on the user’s needs. The system is capable of giving users score-based feedback for different Layer 2 protocols. It can also deploy the user’s smart contract on the test networks of one or more of these Layer 2 protocols if the user wishes to do so. The system is aimed to reduce the hassle of users, promoting increased use of Layer 2 protocols. In this research, we introduce L2Easy, a Layer 2 protocol recommendation system that is customized to individual user needs. The system provides score-based evaluations of various Layer 2 protocols based on customizable criteria and offers the functionality to deploy user defined smart contracts to test networks across selected protocols. Our goal is to streamline the decision making process for users, increase the usability of the protocol, and promote a wider adoption of Layer 2 technologies.

Description

Cataloged from PDF version of thesis.
Includes bibliographical references (pages 51-55).
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2025.

Publisher Link

Type

Thesis