DAG based methods and systems of transaction processing in a distributed ledger
Described herein are systems and methods for a DAG based transaction processing system and method in a distributed ledger. In accordance with an embodiment, a DAG based transaction processing system and method in a distributed ledger can be introduced. The model can help achieve improved throughput performance. With additional weight mechanism, the final performance can be adjusted based on various business requirements. This is different from existing work that uses linear structure and can achieve better performance.
1 . A method for directed acyclic graph (DAG) based transaction processing in a distributed ledger, comprising:
providing, at a computer comprising a microprocessor, a distributed ledger framework running a blockchain ledger;
receiving instructions to commit a plurality of new transactions to the blockchain ledger;
generating a collision graph for the plurality of new transactions; and
based upon the generated collision graph, committing at least one of the plurality of new transactions to a block of the blockchain ledger, wherein the at least one of the plurality of new transactions committed to the block of the blockchain ledger is determined, based upon the generated collision graph, to not collide with any others of the plurality of new transactions.
2 . The method of claim 1 ,
wherein the generated collision graph comprises a directed acyclic graph.
3 . The method of claim 2 ,
wherein each of the plurality of new transactions is associated with a weight parameter.
4 . The method of claim 3 ,
wherein each weight parameter is used along with the generated collision graph to score each of the plurality of new transactions.
5 . The method of claim 4 , further comprising:
based upon the score of each of the plurality of new transactions, determining the at least one of plurality of new transactions to be committed to the blockchain ledger.
6 . The method of claim 5 ,
wherein determining the at least one of plurality of new transactions to be committed to the blockchain ledger comprises:
comparing the score for each of the plurality of new transactions;
selecting a transaction of the plurality of new transactions having the highest score to be committed.
7 . The method of claim 6 ,
wherein determining the at least one of plurality of new transactions to be committed to the blockchain ledger further comprises:
determining another transaction of the plurality of new transactions having a next highest score;
upon determining that the another transaction of the plurality of transactions does not collide with the transaction of the plurality of new transactions, selecting the another transaction of the plurality of new transactions to be committed; and
upon determining that the another transaction of the plurality of transactions collides with the transaction of the plurality of new transactions, discarding the another transaction of the plurality of transactions.
8 . A system for directed acyclic graph (DAG) based transaction processing in a distributed ledger, comprising:
a computer comprising a microprocessor and a memory, wherein the microprocessor is configured to perform a method comprising:
providing, at a computer comprising a microprocessor, a distributed ledger framework running a blockchain ledger;
receiving instructions to commit a plurality of new transactions to the blockchain ledger;
generating a collision graph for the plurality of new transactions; and
based upon the generated collision graph, committing at least one of the plurality of new transactions to a block of the blockchain ledger, wherein the at least one of the plurality of new transactions committed to the block of the blockchain ledger is determined, based upon the generated collision graph, to not collide with any others of the plurality of new transactions.
9 . The system of claim 8 ,
wherein the generated collision graph comprises a directed acyclic graph.
10 . The system of claim 9 ,
wherein each of the plurality of new transactions is associated with a weight parameter.
11 . The system of claim 10 ,
wherein each weight parameter is used along with the generated collision graph to score each of the plurality of new transactions.
12 . The system of claim 11 , the method further comprising:
based upon the score of each of the plurality of new transactions, determining the at least one of plurality of new transactions to be committed to the blockchain ledger.
13 . The system of claim 12 ,
wherein determining the at least one of plurality of new transactions to be committed to the blockchain ledger comprises:
comparing the score for each of the plurality of new transactions;
selecting a transaction of the plurality of new transactions having the highest score to be committed.
14 . The system of claim 13 ,
wherein determining the at least one of plurality of new transactions to be committed to the blockchain ledger further comprises:
determining another transaction of the plurality of new transactions having a next highest score;
upon determining that the another transaction of the plurality of transactions does not collide with the transaction of the plurality of new transactions, selecting the another transaction of the plurality of new transactions to be committed; and
upon determining that the another transaction of the plurality of transactions collides with the transaction of the plurality of new transactions, discarding the another transaction of the plurality of transactions.
15 . A non-transitory computer readable storage medium having instructions thereon for directed acyclic graph (DAG) based transaction processing in a distributed ledger, which when read and executed cause a computer to perform steps comprising:
providing, at a computer comprising a microprocessor, a distributed ledger framework running a blockchain ledger;
receiving instructions to commit a plurality of new transactions to the blockchain ledger;
generating, based upon a weight parameter assigned to each of the plurality of new transactions, a collision graph for the plurality of new transactions, the generated collision graph comprising a directed acyclic graph;
scoring, based upon the generated collision graph and each weight parameter, each of the plurality of new transactions;
based upon the generated collision graph, committing at least one of the plurality of new transactions to a block of the blockchain ledger, wherein the at least one of the plurality of new transactions is determined based upon the scoring;
determining another transaction of the plurality of new transactions having a score less than the at least one of the plurality of new transactions;
upon determining that the another transaction of the plurality of transactions does not collide with the transaction of the plurality of new transactions, selecting the another transaction of the plurality of new transactions to be committed; and
upon determining that the another transaction of the plurality of transactions collides with the transaction of the plurality of new transactions, discarding the another transaction of the plurality of transactions.
16 . The non-transitory computer readable storage medium of claim 15 , the steps further comprising:
based upon the score of each of the plurality of new transactions, determining the at least one of plurality of new transactions to be committed to the blockchain ledger.
17 . The non-transitory computer readable storage medium of claim 16 ,
wherein determining the at least one of plurality of new transactions to be committed to the blockchain ledger comprises:
comparing the score for each of the plurality of new transactions;
selecting a transaction of the plurality of new transactions having the highest score to be committed.