Ethereum: Understanding between the average speed and the performance of the real world
As a user of the popular Blockchain Ethereum, you are probably not an alien time to block time and a variety of factors that can affect its speed. However, do you ever ask you why your average Ethereum node (MHP or MHz) can not be 800 MHP, as announced on sites like Bitminer?
In this article, we dive into potential explanations related to the difference between the advertising rate and BFL One -Nodes that work in a Bitminer customer.
Middle speed understanding
The average speed is calculated based on the total number of operations that can be processed per second (TPS) and divided by 60 (due to 60 seconds per hour). It gives us an idea of how efficient network nodes can handle operations. Higher average speed means better performance, but not necessarily increasing income.
BFL specifications
Before exploring possible explanations, let’s look at the specific node specifications BFL:
- Clock speed: 2.3 GHz
- Cacher memory: 64 GB
- Number of CPU nuclei: 8
- Total calculation units (you): 16
Although these specifications are impressive, there are even more factors that can affect the real performance of the unit.
To explain the gap
So what can lead to the difference between the fare and the real performance?
- Network congestion: If you use your node in a overflowing mesh (for example, due to the large load other knots or permeability), it can cause a slower speed. Also, if you use a Bitminer customer, which is for Ethereum, the connection cannot be optimized for low delay operations.
- For example, if the average surgery is relatively low (for example, 1 to 10 bytes), they will not need much time to process them, but as the operation increases, the treatment time increases.
- Energy consumption: The unique BFL nodes are designed to calculate high performances, which costs: energy consumption. Mode with a higher clock speed and more counting blocks may require more energy, especially if you use low power hardware.
- Heat generation: Because your node creates heat due to the high clock and calculation blocks, the temperature may increase by reducing the entire system.
- Software optimization: The Bitminer customer cannot be optimized for specific BFL assemblies, which can lead to a slower reaction time or reduced permeability.
Conclusion
Although there are several factors that play, the combination of these explanations is likely to lead to the difference between advertising norms and real performance. To optimize your node performance:
- Make sure you drive in a well -obtained environment to reduce heat generation.
- Update the Bitminer customer to the latest version to ensure compatibility with BFL Kots.
- Consider modernizing hardware to reduce energy consumption and heat generation.
- Monitor -regularly perform the node performance to determine the optimization area.
By understanding these factors, you can take measures to improve the general unit and the revenues of the node. Happy mining!