Print Email Facebook Twitter Increase of long-term success ratio using novel splitting methods in Interdimensional SpeedyMurmurs Title Increase of long-term success ratio using novel splitting methods in Interdimensional SpeedyMurmurs Author Heijmans, Han (TU Delft Electrical Engineering, Mathematics and Computer Science) Contributor Roos, S. (mentor) Ersoy, O. (mentor) Houben, G.J.P.M. (graduation committee) Degree granting institution Delft University of Technology Programme Computer Science and Engineering Project CSE3000 Research Project Date 2021-07-01 Abstract Popular cryptocurrencies lack scalability. Payment Channel Networks (PCN's) allow a large increase in transaction throughput. However, transaction failures are frequent when transactions are routed through multiple intermediaries. A previously introduced protocol, Interdimensional SpeedyMurmurs, increased the success ratio of transactions in PCN's by allowing routing to be more flexible and transactions to be split into multiple smaller transactions. This protocol also introduced several methods of splitting transactions that increased the success ratio even further in the short term. The splitting methods were not good for the short term as they often depleted channels completely. This paper aims to introduce novel methods of splitting transactions that easily integrate into Interdimensional SpeedyMurmurs in order to increase the success ratio in the long term. A thorough evaluation of the novel splitting methods was conducted using simulations on a snapshot of a real-world used PCN. In one scenario an increase of 2.4% over previous methods was achieved. Subject BitcoinPCNLightningInterdimensional SpeedyMurmursRoutingSplitting Transactions To reference this document use: http://resolver.tudelft.nl/uuid:ae05b71e-854d-461a-81d7-3252b17e298e Part of collection Student theses Document type bachelor thesis Rights © 2021 Han Heijmans Files PDF Increase_of_long_term_suc ... urmurs.pdf 597.08 KB Close viewer /islandora/object/uuid:ae05b71e-854d-461a-81d7-3252b17e298e/datastream/OBJ/view