Ethereum: The power of the hash – a guide to calculate the hash every second
In the world of cryptocurrency and blockchain technology, the HASH function plays a decisive role in controlling transactions and maintaining the integrity of the network. One of the most widely used hash functions of Ethereum is the Keccak-256 hash algorithm, which is currently used to control the transaction and the POW (POW) mining.
Understand the hash function
The hash function is an algorithm that takes input data of any size and creates a fixed size output called Hash. The most important features of good hash function are as follows:
* Deterministic : Always result in the same output, the same input.
* cannot be translated : You cannot reverse the original input to obtain without additional information or computing sources.
* Fixed size
: The output size is determined by the characteristics of the problem and hash function.
Calculation of hash per second (HPS)
To calculate HPS, you need to know the following:
- Number of Hash Functions : Ethereum has more hash functions, including Keccak-256, Ripemd-160 and others.
- Network Load : The number of nodes on the network and their cleavage power can affect HPS.
- HASH function quality : Good Hash function must resist attacks such as collisions and preliminary attacks.
Calculation of Hashok with Ethereum Block Difficulties
The block difficulty is a critical parameter that determines the speed of mining new blocks, including the creation of hashok for each transaction. To calculate HPS, we need to know the difficulties of the block, the number of transactions in the block, and the total hash output.
Here’s an example calculation:
* Number of transactions per block : 4 (assuming a small network with 10 nodes)
* Block Difficulties : 1 000 000 000 (Ethereum Current Block Difficulty)
* HASH OUTPUT per transaction : approx. 128 bytes
Using the following formula to calculate HPS:
Hps = (transactions per block \* hash output per transaction) / block difficulty
Let’s do the math:
HPS ≈ (4 transactions/block \* 128 bytes/transaction)/1 000 000 000
= 0.32 HPS/Block
HPS estimation in real scenario
In order to get a picture of what it looks like in practice, consider a scenario with 10 nodes on the network and each node has 100 million coins for mine.
Assuming that 1 billion block is difficult, hash -output per transaction about 128 bytes:
* Block size : About 4 gigabytes
Number of transactions in block : 400 000 (10 nodes \40 million coins)
* Hash output per block : 512 megabytes
Using the same formula:
HPS ≈ (400,000 transactions/block \* 128 bytes/transaction)/1 billion
= approximately 0.32 hp/block/block
This means that each node of the large-scale Ethereum network can minhleh per second can minh in the HASH.
Conclusion
Calculation of HPS is essential to understand the performance and scalability of the Ethereum Work-on Work (POW) mining system. Although this calculation provides a theoretical estimate, it does not take into account various factors such as the quality of the hash function, the size of the block and the network load.
As the Ethereum ecosystem continues to grow and mature, we can expect increased interest in optimizing pow systems and improving overall performance. By understanding the calculation of HPS, developers and miners can better optimize their hardware and networks to achieve maximum efficiency.