Abstract: A system and method for the consistency and correctness of storage and database management operations among data entities and their hashed key values The present invention relates to a computing device, systems and a method for the consistency and correctness of storage and database management operations among data entities and their hashed key values. The present invention receives a call from an entity to perform an action in respect of a data entity and performs the action to the data entity. A homomorphic hashing function is applied to the actioned data entity to generate an associated digital token. The actioned data entity and the generated associated digital token are stored in a dual storage system, wherein the dual storage system comprises at least one data store comprising a dataset of data representing data entities and a dataset of associated digital tokens.

Abstract: The present disclosure provides a self-adaptive sharding engine, SASE, which is configured to dynamically adapt the configuration of connected DL T platforms to ensure that their operational performance is maintained within target levels. The SASE is provided with a decision and optimisation, DO, module that is configured to receive and process a set of configuration parameters obtained from a sensor module to determine a set of corresponding performance metrics indicative of the operational performance of the target DLT platform. The DO module is configured to compare the values of the performance metrics with corresponding target values. Accordingly, when at least one of the performance metrics is within a value range from at least one corresponding target value, the DO module is configured to adjust an aspect of the DLT configuration of the DLT platform to optimise its operational performance.

Abstract: The present disclosure provides a self-adaptive sharding engine, SASE, which is configured to dynamically adapt the configuration of connected DL T platforms to ensure that their operational performance is maintained within target levels. The SASE is provided with a decision and optimisation, DO, module that is configured to receive and process a set of configuration parameters obtained from a sensor module to determine a set of corresponding performance metrics indicative of the operational performance of the target DLT platform. The DO module is configured to compare the values of the performance metrics with corresponding target values. Accordingly, when at least one of the performance metrics is within a value range from at least one corresponding target value, the DO module is configured to adjust an aspect of the DLT configuration of the DLT platform to optimise its operational performance.