Transformers Blockchain and the Role of Synchronization in the Ecosystem
Hello everyone! Are you ready for the next level of immersion? Today, we will discuss an important topic — synchronization in the blockchain ecosystem. Many of you may have heard about it, but let’s dive deeper and examine it in more detail. If you haven’t explored this topic yet, don’t worry, we will thoroughly delve into this exciting process.
Transformers Blockchain and the Role of Synchronization in the Ecosystem
Blockchain technology has become an integral part of the modern world, providing unique capabilities to ensure the security, transparency, and efficiency of various types of transactions and data. However, one of the key components of blockchain’s success is the synchronization mechanism, which ensures data consistency among different network participants.
What is synchronization? Synchronization is a mechanism used to maintain the consistency of content between two or more databases, files, modules, or streams. In the world of blockchain, synchronization plays a fundamental role in ensuring data consistency and achieving consensus. The synchronization process allows all nodes in a blockchain network to achieve data consistency, ensuring that data can be verified across the entire network. At the same time, without affecting consensus, synchronization prepares the data required for consensus in advance, thus ensuring data consistency and increasing transaction success.
The Concept of Synchronization Synchronization enables transactions on the blockchain to reach as many nodes as possible, providing the foundation for packaging transactions into blocks. Fast and reliable synchronization is the basis for high throughput in TFSC (Transformers Blockchain). In TFSC, each block contains a large number of transactions, and each block contains more than one transaction. To achieve such efficient and high-quality synchronization, excellent technical support is required, such as reliable node discovery, fork management, and UTXO verification.
Synchronization in TFSC TFSC is a fully decentralized public blockchain that uses Byzantine synchronization to ensure data consistency across the network. Block generation in TFSC is a passive action, with blocks generated only when there are transactions, not on a schedule. Any user can synchronize all data blocks on the main network, but this requires preparatory steps such as connecting to a reliable node connected to the main network.
Why is synchronization needed? In the process of operation, a TFSC node regularly broadcasts its highest block number to other nodes. When a node receives a block number from another node, it compares it to its own block number. If its block number lags behind, the process of downloading blocks begins. Block downloading is performed through a request/response mechanism. Nodes involved in the download process randomly select nodes that meet specific requirements and send a request to download a range of blocks on demand. The node receiving the download request responds with the corresponding block according to the request’s content.
The Role of Byzantine Synchronization
Before we delve into synchronization details, let’s discuss Byzantine algorithms, which are critical for synchronization. The Byzantine Generals’ Problem is a distributed problem in P2P (peer-to-peer) networks proposed by Leslie Lamport and others in their work “The Byzantine Generals’ Problem.” This algorithm proves that with a total number of generals greater than 3f and a number of traitors less than or equal to f, loyal generals can achieve consistent commands, meaning the number of traitors is less than half the number of loyal generals. The algorithm’s complexity is O(n^(f+1)). The Byzantine algorithm addresses the consistency problem when network communication is reliable but a node can fail. However, applying this algorithm in real distributed systems is challenging. Byzantine fault-tolerant algorithm is a system property that can withstand a series of failures caused by the Byzantine Generals’ Problem. In other words, a system that is Byzantine fault-tolerant can continue to operate even if some nodes lose connectivity or exhibit malicious behavior. There are various ways to create a Byzantine fault-tolerant blockchain, which are related to different types of consensus algorithms.
Application of Byzantine Synchronization in TFSC
TFSC, according to a set time interval of one round and calculations of callback height synchronized from other nodes, the total network height (height with the highest stake) is compared to its own height. If the own height is lower than the height of the entire network, the synchronization process begins. Initially, several nodes are obtained, and then hashes of the block headers from these nodes are retrieved. After verification, the actual block data is requested, and a randomly selected block is added to the own chain. When the height difference becomes below a certain level, the block requires verification.
The primary data synchronization mechanism in the TFSC network is based on the Byzantine fault tolerance model. Synchronization requests are sent to several randomly selected nodes that meet specific conditions, and the responses are analyzed using the Byzantine algorithm to extract a secure and efficient range of data. Then, block data is retrieved from these nodes to achieve accurate and consistent data across the entire network.
Different Synchronization Modes
In various situations, the program selects different synchronization modes. There are three main synchronization modes:
1.Synchronization Verification Mode: This is the primary method for synchronizing data blocks on the TFSC network. In most cases, network nodes perform synchronization verification. The process involves requesting data of a specific height from a particular node through the Byzantine algorithm, verifying the data, returning it to the cache, and waiting for verified data to be written to the database.
2.Fast Synchronization Mode: It is used in situations where the analysis of Byzantine synchronization fails during synchronization verification, for example, when nodes in the TFSC network do not reach consensus regarding specific blocks. To facilitate fast consensus in the blockchain network, fast synchronization was developed. The main difference between fast synchronization and synchronization verification lies in data processing. Fast synchronization directly writes data to the database.
3.Patch Synchronization Mode: This mode is used to address the issue where nodes cannot continue synchronization due to a lack of block data. Patch synchronization sends a request to synchronize a specific node. After receiving the data, it is written to the cache and awaits verification before being written to the database.
Synchronization plays a key role in the successful operation of blockchain networks like TFSC. It ensures the data consistency necessary for achieving consensus and guarantees the security and reliability of the network. By integrating different synchronization modes, TFSC is capable of operating in complex network situations, ensuring the efficiency and accuracy of data synchronization across the entire network, and creating the foundation for high-speed transactions on the blockchain. This article provides an overview of the Transformers Blockchain and the role of synchronization in its ecosystem, as well as explains the importance of Byzantine synchronization for ensuring data security and reliability.
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