AO 共识与全息态

How does the holographic state translated by the author completely change the unchangeable log used in the scalability of blockchain? A new era of efficient and scalable decentralized computing is coming. Computers reach a consensus through holographic state and use immutable message log to break through the traditional scalability restrictions. This method marks a major innovation in existing systems such as workload proof and rights proof, paving the way for a new era of efficient and scalable decentralized computing. Blockchains such as Bitcoin and Ethereum adopt a consensus mechanism to allow network participants to reach an agreement on the status of books, including transaction verification account balance or smart contract execution results. Bitcoin creates a decentralized consensus through workload proof. Miners add new trading blocks by solving problems. This consensus ensures the consistency of transaction history. Without strong computing power, it is almost impossible to tamper with Ethereum without authorization. Blocks are created to reach a consensus. The purpose of this is to reduce the energy demand. By requiring all nodes to verify and agree to execute each transaction or contract, these mechanisms usually limit the speed and throughput of the network, thus posing a major obstacle to scalability. Solutions and forward road layer solutions are very important to overcome scalability and energy consumption obstacles. Although solutions such as side chains aim to reduce the transaction burden of the main blockchain to achieve higher throughput and efficiency, it is impossible to use the model. Changing the storage function to ensure scalability and reduce the computational cost is a strategic consistency with the principle. Although the commitment to enhance decentralized computing is emphasized at a fundamentally different architectural level, the holographic state paradigm shift process state is usually not stored or agreed in the system. On the contrary, they are holographic hidden in the managed message log, which ensures the consistency of the output during the calculation, even if the network participants have not monitored and calculated it, so the holographic state represents the message day of the process. Real-time calculation or consensus is not needed for the inference, which means that the calculation cost is entrusted to the user who can calculate its state or request execution through the calculation unit. The virtual machine can ensure that no matter who performs the calculation and gives the same input message log, its output state is always the same. The concept of sum is used to make the use and expansion of resources in the process unrestricted. Why is this important? The impact of this change is significant by combining the consensus mechanism with the plan. The computational state decoupling computer solves the scalability problem that plagues the traditional blockchain network, which opens up new possibilities for decentralized applications to run without being limited by the memory size, form and speed of the current consensus model. In addition, the holographic state model creates a more flexible and efficient computing environment, and developers can create and deploy processes on the computer without worrying about the computational load on the network. In turn, due to the immutable message log, users can work with this. Some processes interact with each other and make sure that the underlying state is verifiable and safe. The frequently asked questions are as follows: How does the holographic state mechanism work in the answers to some of the most common problems I have encountered in and? The nodes in the network do not need to perform calculations to reach a consensus on the program state transition, but get the state from the interactive message log stored on the network. This design uses the immutable storage of the network to ensure that the message log is always available, thus allowing any network participant to calculate how the state is distributed. Managing and executing processes manage and execute these components through the combination of scheduler unit, computing unit and messenger unit, and work together to deal with the distribution of messages to processes. This architecture allows processes to run independently on the network based on message computing state transition and relaying messages between processes. For in-depth explanation, please refer to my detailed article on architecture. Can the state of linked processes be directly observed or just implied? Although the state of linked processes is mainly implied in the interactive log stored on the Internet, However, the state is not stored, but any participant can definitely calculate it. This method ensures that the state of the process can be independently verified although it cannot be directly monitored, and how the virtual machines with deterministic resource measurement contribute to the holographic state in the whole network. The computing units are virtual machines with deterministic resource measurement. They ensure that the output state of the given input message log is always consistent, no matter who or where performs the calculation, this consistency is very important for the holographic state model. The state transition can be verified without trust. The resource metering function of virtual machine can ensure that the calculation is limited, prevent the process from getting out of control and maintain the network efficiency. What is resource metering virtual machine? Resource metering virtual machine aims to accurately control and track the usage of computing resources such as running time and memory. This function can ensure fair access to network resources, prevent abuse and predict the operating cost. It is transparent and predictable for maintaining network efficiency and scalability and providing developers and users. The economic model of management is very important. What is the scalability impact of holographic model? Holographic model has a significant positive impact on scalability. By decoupling consensus mechanism from actual state calculation and using distributed participant network to execute processes, many parallel processes can be supported without the typical constraints of traditional blockchain consensus mechanism. This model allows more significant scalability because the network can handle more transactions and complex calculations without proportionally increasing resource requirements or reducing performance. 比特币今日价格行情网_okx交易所app_永续合约_比特币怎么买卖交易_虚拟币交易所平台

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