MultiVAC’s Revolutionary Sharding Mechanism: The Probabilistic Reliability Model

In our previous article, we discussed how MultiVAC can solve the randomness issue involved in the selection of miners within each shard by using Verifiable Random Functions (VRFs), and showed that this method ensures that every selection is verifiable. This leads us to ponder about the following questions: how do determine the number of miners within each shard, and how do we fulfil the requirements of developers? Here, we introduce a new concept, the Probabilistic Reliability Model.

The Probabilistic Reliability Model is a computational model first introduced by MultiVAC’s team of experts. In networks with a large number of nodes, the structure of individual shards correlate with the preset number of nodes in each shard, and, is uncorrelated with the number of nodes in the whole network.

More precisely, the strength of each shard’s consensus is correlated with the number of participating nodes, and the larger the number of participating nodes, the higher the level of reliability. For more details on the mathematical model, please refer to MultiVAC’s whitepaper.

As the world’s first proponent of the Probabilistic Reliability Model, MultiVAC puts forward a computable relationship between reliability, the ratio of honest nodes and the number of nodes within a shard by utilizing mathematical models. This enables MultiVAC to derive the corresponding number of nodes within a shard based on reliability requirements, and provides a strong logical foundation for MultiVAC’s construction of flexible and reliable shards.

Take the following real-life analogy as a simple illustration: when a client sets up a safe at a safe company, the safe company will devise the number of passcode digits (number of nodes) based on the factor of safety the client requires (degree of reliability required). The higher the factor of safety required, the larger the number of passcode digits needed. Given that the safe company has the ability to accurately identify the relationship between them, it can fulfil the client’s needs with high accuracy and flexibility.

In our following articles, we will continue to share with you interesting information about computations related to flexible shards.