Theoretical Concepts Sample Clauses

Theoretical Concepts. ‌ Although making changes and optimizing the implementation is a logical way to improve the system, tak- ing a more theoretical approach on how to improve the system also enables us to pinpoint the important concepts to develop in the future, as we now describe in the following paragraphs. Firstly, we chose a consensus protocol that seemed to fit our needs and make our system as per- formant as possible. There should be an extra evaluation of which consensus protocol actually benefits our system the best. Secondly, our focus was mainly on achieving a working implementation and being able to mea- sure the performance accurately, and therefore there was no focus on defining a security and/or fault- tolerance model. In particular, we did not attempt to provide any extra security other than what Xxxx already provides. That being said, it is important to note that our system does provide important fault- tolerance guarantees; on the ordering layer, we maintain the 3f + 1 that Besu already provides, while on the execution layer we have 2f + 1, where f is the number of faults the system can suffer. Thirdly, our system requires that all the commands are processed in a global total order that is consis- tent with the order in which they were sent by the clients. The system could be further improved through a log that supports a partial order as an alternative, where the nodes can process the commands in a different order than the one established to improve the overall system performance. Following Fuzzy- Log’s [40] principle of a partially-ordered log could prove very useful to further improve the execution cluster performance: the global log would be sharded into smaller logs, each with partial-ordered com- mands. Each cluster could access its shard faster than the global log, which would improve contract execution over time. Finally, our system does not take into account cross-shard interactions and transactions. For in- stance, a large enough command might have to be split among different clusters to be processed; or one application might have one command that interacts with two different clusters. These would not be possible in our current system and should be made possible in the future.
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