Giskard consensus
Giskard consensus
Giskard consensus is a consensus algorithm based on blockchain technology, aimed at achieving reliability in distributed computing and data sharing. It is a consensus of BFT class, which includes optimization in multiple aspects, reducing complexity while further improving throughput through parallelism, and has the advantages of high performance and low latency. It is a new consensus mechanism jointly developed by a group of artificial intelligence experts and computer scientists, aimed at solving some problems in traditional blockchain technology, such as performance bottlenecks, poor scalability, and insufficient security.
The core idea of the Giskard consensus algorithm is to achieve automated decision-making and self execution of smart contracts by introducing artificial intelligence technology. It adopts a Proof of Work based mechanism to solve a series of challenges by competing for computing resources, thereby obtaining participation and verification rights. Meanwhile, Giskard has also introduced artificial intelligence technology to improve the efficiency and security of consensus.
In the Giskard consensus algorithm, each node generates a random number based on algorithm rules and compares it with the random numbers of other nodes. After one round of voting, a block can enter the consensus of the next block, and after three rounds of voting, it can be finally confirmed. If the similarity between the random number and other nodes is high, the node will be selected as the leader and will have the right to participate in decision-making and verification. The leader node will generate a consensus result based on algorithm rules and broadcast it to other nodes. Other nodes will verify the consensus results based on algorithm rules. If the verification is successful, it will be considered a valid result and added to the blockchain.
Compared with traditional blockchain technology, the Giskard consensus algorithm has higher performance and scalability. It achieves automated decision-making and self execution of smart contracts by introducing artificial intelligence technology, reducing manual intervention and operational costs. Meanwhile, the Giskard consensus algorithm adopts a mechanism based on proof of workload, reducing resource waste and improving efficiency. In addition, the Giskard consensus algorithm also has high security because it adopts multiple security measures to protect the security and integrity of the blockchain.