A comprehensive framework for evaluating different layer 2 protocols in ethereum
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BRAC University
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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.
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.
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Thesis