SYSTEM AND METHOD FOR DYNAMIC COMPUTATION SCALING IN DISTRIBUTED LEDGER NETWORKS

Different aspects of the invention implement an enhanced DLT system, and corresponding method, that allows the execution of DApps that generate huge amounts of data to be stored in the DLT network in an efficient and optimized manner, also allowing the dynamic allocation of resources according to the properties of each DApp to be implemented. By allowing the interface between any type of existing layer 1 DLT network, it does not require the complex, slow, costly and highly risk process involved in the generation of a new layer 1 DLT network. It opens up the range of possible applications of the DLT network to applications in Big Data, IOT, Web 3, MMOG, or any other environment that needs the trust provided by the immutability of data stored in the DLT network.