Tesi etd-05082023-211609 |
Link copiato negli appunti
Tipo di tesi
Tesi di laurea magistrale
Autore
PALAZZO, VINCENZO
Indirizzo email
v.palazzo1@studenti.unipi.it, vincenzopalazzo1996@gmail.com
URN
etd-05082023-211609
Titolo
LNMetrics: an Open Source Framework to Collect Metrics on Lightning Network
Dipartimento
INFORMATICA
Corso di studi
INFORMATICA
Relatori
relatore Dott.ssa Ricci, Laura Emilia Maria
supervisore Dott. Sartiani, Carlo
supervisore Dott. Decker, Christian
supervisore Dott. Sartiani, Carlo
supervisore Dott. Decker, Christian
Parole chiave
- bitcoin
- lightning-network
- metrics
- p2p
Data inizio appello
26/05/2023
Consultabilità
Tesi non consultabile
Riassunto
The Lightning Network is a proposed off-chain solution to Bitcoin’s scalability problems
that enables peers to exchange partially signed transactions without violating Bitcoin rules.
Despite its potential, Bitcoin still needs to be made more scalable to compete with modern
payment systems. One approach is to make changes to the protocol itself, but implementing
these changes to the Lightning Network can take time and evaluation of different proposals. This thesis aims to address the lack of public data on real Lightning Network nodes
by developing a collection of tools to be use in nodes with daily activity and defining and
collecting Lightning Network metrics to better understand node performance. The proposed open-source framework for defining and collecting these metrics enables anyone to
conduct small research for the Lightning Network with lower resource consumption and
without a high level of expertise.
that enables peers to exchange partially signed transactions without violating Bitcoin rules.
Despite its potential, Bitcoin still needs to be made more scalable to compete with modern
payment systems. One approach is to make changes to the protocol itself, but implementing
these changes to the Lightning Network can take time and evaluation of different proposals. This thesis aims to address the lack of public data on real Lightning Network nodes
by developing a collection of tools to be use in nodes with daily activity and defining and
collecting Lightning Network metrics to better understand node performance. The proposed open-source framework for defining and collecting these metrics enables anyone to
conduct small research for the Lightning Network with lower resource consumption and
without a high level of expertise.
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