Blockchains sequentially store the history of transactional information, in a virtually immutable and distributed way. Moreover, second-generation blockchains such as Ethereum are programmable environments, and every operation invocation towards the smart contracts corresponds to a transaction sequentially collated in the ledgers. They thus allow for the controlled enactment of multi-party processes as well as the immutable recording of their distributed execution. Despite the verification, tracking, and monitoring of such blockchain-enabled processes appears paramount, a formal and implemented framework encompassing those aspects is still a mostly unexplored research avenue. The talk revolves around the current state of the art, as well as the opportunities and challenges that arise when it comes to conducting a process-oriented analysis on data stemming from blockchains, from a representation and modelling perspective.

Towards a process-oriented analysis of blockchain data / DI CICCIO, Claudio. - 2542:(2020), pp. 42-44. (Intervento presentato al convegno 1st International Workshop on Conceptual Modeling for Distributed Ledger Technologies (MOD-DLT) tenutosi a Vienna; Austria).

Towards a process-oriented analysis of blockchain data

Di Ciccio Claudio
2020

Abstract

Blockchains sequentially store the history of transactional information, in a virtually immutable and distributed way. Moreover, second-generation blockchains such as Ethereum are programmable environments, and every operation invocation towards the smart contracts corresponds to a transaction sequentially collated in the ledgers. They thus allow for the controlled enactment of multi-party processes as well as the immutable recording of their distributed execution. Despite the verification, tracking, and monitoring of such blockchain-enabled processes appears paramount, a formal and implemented framework encompassing those aspects is still a mostly unexplored research avenue. The talk revolves around the current state of the art, as well as the opportunities and challenges that arise when it comes to conducting a process-oriented analysis on data stemming from blockchains, from a representation and modelling perspective.
2020
1st International Workshop on Conceptual Modeling for Distributed Ledger Technologies (MOD-DLT)
blockchain; distributed ledger; logging logic; process mining
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Towards a process-oriented analysis of blockchain data / DI CICCIO, Claudio. - 2542:(2020), pp. 42-44. (Intervento presentato al convegno 1st International Workshop on Conceptual Modeling for Distributed Ledger Technologies (MOD-DLT) tenutosi a Vienna; Austria).
File allegati a questo prodotto
File Dimensione Formato  
Di-Ciccio_Blockchain-Data_2020.pdf

accesso aperto

Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Creative commons
Dimensione 228.83 kB
Formato Adobe PDF
228.83 kB Adobe PDF

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1387300
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 2
  • ???jsp.display-item.citation.isi??? ND
social impact