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Ethereum: questions and answers to Danksharding
As we continue to explore the internal activity of Ethereum, a theme that has caused a lot of debate is bleak. In this article, I will provide an overview of what is dankssharding, I will address some of the problems that are common and, if necessary, I will give you information and corrections.
What is Danksharding?
Danksharding is the concept of Ethereum 2.0 (also known as calm), which aims to improve the scalability and performance of the network by collecting data in several knots, rather than based on the central index server. In the architecture of the traditional working test (POW), each user transaction is checked by all network nodes before being attached to the block. This can lead to a point of failure and high transaction fees.
Danksharding changes this approach by dividing data into smaller parts called chips, which are then divided into several nodules. Each network node is responsible for checking transactions and connecting from the local fragment to the main circuit. This process is known as “dans”.
How does Danksharding work?
Here is a high -level image of how Danksharding works:
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SHARD CREATION : Data are divided into smaller parts called Shards.
- Shard deposit : Each knot holds their own shard on the spot.
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Validation Shard
: The nodes check the local Shard transactions to ensure that the block’s head are valid and fit.
- SHARD supplement : add valid transactions to the central “main” circuit where all nodes can be checked.
danksharding the main benefits
Danksharding offers more advantages over traditional POW architects:
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Improved scalability : By dividing data into several knots, Danksharding increases the general network capacity and reduces the load on individual knots.
- Low transaction fee : With a more decentralized check process, the transaction fee is lower, which makes the user more easily participate in the network.
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Improved security
: Danksharding provides an additional security layer, which makes attackers manipulate offers.
Common questions and answers
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J: What is the difference between L2 scaling solutions (layer 2) such as optimism against a polygon?
A: While the purpose of both solutions is to improve the scalability, L2 solutions are designed primarily to attack solutions, giving a faster transaction time for users who want to use ETHERUM -based DApp without making their own purse or knot.
- Î: Can Danksharding replace the need for a central index server?
A: Danksharding is designed to reduce based on an index server, but it is unlikely to replace it completely. The central index server will continue to be used for certain purposes, such as managing network and security data.
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Î: Danksharding will increase the latency of transactions?
A: The impact of Danksharding on the latency of transactions is still evaluated. However, Danksharding may reduce the task on the knots and improve the general network performance.
Insight and corrections
- Danksharding against Sharding : Although it is similar, Danksharding is not a special sharpening introduction. Sharding refers to the process of data division into several knots.
- Involvement of the node : Danksharding each node is responsible for testing the local Shard transactions, while in traditional POW architects, the nodes are based on the central index server.
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Validation Shard : Dankshard is not always confirmed by all nodes; Instead, they are locally inspected by each knot.
I hope this article has given clarity about the concept of Danksharding and has addressed some of your questions. Do you have special topics or aspects that you want to extend?