A case against direct blocks of hash points: Understanding the difficulty of Ethereum
One of the pioneers of Blockchain technology technology Ethereum has always been an innovative approach to managing the complex mathematical problems needed for a safe and decentralized network. One such aspect is the use of difficulty functions to optimize the creation speeds of the blocks. However, there are several reasons why direct blocks have not used as original points for the difficulties of Ethereum. In this article, we explore these causes and study alternative approaches.
Current implementation: Difficulty functions and blocks haveh
In Ethereum, the difficulty function applies to the hash of each new block before it is added to the block chain. This process is called “adjusting difficulties”. The difficulty function takes the current level of target difficulty (eg 4000) and adjusts it as additions based on the number of successful plots that have already been mined. The adjusted target difficulty is then used to calculate the block reward and to select events.
The hash of each new block acts as a starting point for a difficulty function. This can be misleading because it does not take into account factors such as block size, complexity of events, or network congestion. For example, a block with a low hash value, but a high amount of high transaction volume can have relatively low difficulty adjusting. On the contrary, a block with a high hash value, but a lower transaction volume may have a corrected severity point that is more challenging.
Why are the blocks no direct points
One primary reason Ethereum does not use direct block hash points is to prevent overestimation and ensure that the network remains flexible. By adjusting the target difficulties based on existing blocks, the network can:
- Prevent the “block glut” : When the adjustment is too high, it can cause a new explosion of new blocks with identical seals, leading to reduction in congestion and network performance.
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- Avoid “Hash Collision” Questions : Using Hash of the previous block as the original score, Ethereum avoids potential collisions in which two identical hash -blocking is added simultaneously.
Alternative approaches: Why not just add blockhatses?
Although adding all blocks of logs may seem at first glance attractive, it has many disadvantages:
- Calculated overheads : Calculating and storing all block seals requires significant calculated resources.
- The complexity of difficulty adjusting
: The difficulty function is already complex; Simply, adding hashish to every new block does not take into account other factors that affect difficulties adjusting (eg transaction volume, online wood).
- Scalability Restrictions
: A simple additional approach would strain the network capacity and possibly lead to scalability problems.
conclusion
In summary, implementation of Ethereum Difficulty Functions The customized target difficulties have an intentional design choice, which aims to optimize the creation speeds of the blocks while preventing optimization and network flexibility. While straight block hash points may seem attractive, they have a number of disadvantages that make them less desirable than the current approach. The use of block hashs in encouraging indigenous points encourages the diversity of block bonuses, prevents “block glut” and avoids potential collision problems. As the Ethereum network develops and continues to mature, it is likely that we will see more innovations in difficulties planning, studying alternative approaches, such as hash-based scoring or adding additional factors to the process.
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