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Hyperledger Sawtooth vs Quorum in concurrency and speed

Suppose I have 50 machines deployed in several places, each machine has Linux as the OS .

The machines do not have a continuous Internet connection, for every 2 hours without a connection they have a Wi-Fi connection for 45 minutes.

During these 2 hours, machines receive data through IoT sensors stored locally in JSON.

When 45 minutes. an Internet connection comes in, the machines send data to the cloud server for further treatment.

The goal of this question is to compare the best DLT in this particular situation to ensure the reliability of data sent to the Cloud server through several parallel machines.

Thank you very much in advance, and happy new year.

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Summary . Both should provide similar data validity. Sawtooth can more easily control the volatility of network addressing. In your situation, the usefulness of DLT is unclear.

Read more : Hyperledger Sawtooth uses the Radix Merkle tree to enforce a government agreement. This means that when transactions are exchanged between these nodes, each node checks to see if it has reached the same internal state of the database as the other nodes. See https://sawtooth.hyperledger.org/docs/core/releases/latest/architecture/global_state.html

Ethereum . , .

, . , IP- , . https://github.com/jpmorganchase/quorum/wiki/Quorum-Overview

Sawtooth, . node , . Sawtooth , .

https://sawtooth.hyperledger.org/docs/core/releases/latest/architecture/validator_network.html#peer-discovery

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Source: https://habr.com/ru/post/1691702/

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