Adopting Open Multiple ZK-EVM: Challenges and Solutions

04/02/2023 05:23 • Blockchain Buzz • 141 views

According to reports, in his latest blog article, V Shen suggested adopting open multiple ZK-EVM to create a “multi client” ecosystem, but at the same time, he pointed out that this solution would face two major challenges: latency and data inefficiency. A malicious attacker may delay the release of a block, as well as effective proof for a client. If the time is long enough, it may create a temporary fork and break the chain of several slots. In addition, if you want to be able to generate multiple types of proofs for a block, you need to actually publish the original signature, resulting in data inefficiency.

V God: Using multiple open ZK-EVM will face two major challenges: latency and data inefficiency

Introduction

In his latest blog post, V Shen proposed the idea of adopting open multiple ZK-EVM to create a multi-client ecosystem. Although this solution offers many benefits, there are two major challenges that need to be addressed: latency and data inefficiency. In this article, we will explore these challenges further and provide possible solutions.

The Challenges

Latency

One main challenge of adopting open multiple ZK-EVM is latency. A malicious attacker may delay the release of a block, as well as effective proof for a client. This delay can potentially create a temporary fork and break the chain of several slots. This can cause delays and confusion for users.

Data Inefficiency

Another major challenge is data inefficiency. To generate multiple types of proofs for a block, the original signature needs to be published. This increases the amount of data that needs to be transmitted and stored, resulting in inefficiency.

Solutions

Latency

There are several possible solutions to address the issue of latency in open multiple ZK-EVM. One solution is to implement time limits for the release of a block and effective proof. This can discourage malicious attackers from delaying the process. Another solution is to implement a reputation system to identify and penalize bad actors who exhibit malicious behavior.

Data Inefficiency

To address the issue of data inefficiency, one possible solution is to implement a compressed proof system. This can reduce the amount of data that needs to be transmitted and stored, while still maintaining security and reliability. Another solution is to utilize sharding technology to distribute data more efficiently, reducing the load on any one specific node.

Conclusion

Adopting open multiple ZK-EVM offers many benefits, but it also poses several challenges that need to be addressed. By implementing the solutions discussed in this article, we can create a more robust and efficient multi-client ecosystem.

FAQs

1. What is open multiple ZK-EVM?
Open multiple ZK-EVM is a technology that allows for multiple virtual machines to run simultaneously, enabling a more diverse and flexible ecosystem.
2. How does a reputation system work?
A reputation system is a way to identify and evaluate the behavior of users in a decentralized system. It assigns a score to each user based on their past behavior, and uses this score to determine trustworthiness.
3. What is sharding technology?
Sharding technology is a way to partition data into smaller, more manageable pieces, which can then be distributed across multiple nodes. This can improve efficiency and scalability.

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