BLF: A blockchain logging framework for mining blockchain data

Paul Beck, Hendrik Bockrath, Tom Knoche, Mykola Digtiar, Tobias Petrich, Daniil Romanchenko, Richard Hobeck, Luise Pufahl, Christopher Klinkmüller, Ingo Weber

Research output: Contribution to journalConference articlepeer-review

5 Scopus citations

Abstract

Blockchain technology is increasingly used to realize decentralized applications and execute cross-organizational processes. Understanding how an application is used and how partners and users participate is essential to avoid failures and plan improvements. This understanding can be built by analyzing logs; but although data is in principle given in the immutable ledger, log extraction is currently still inconvenient, slow, and subject to interpretation. In this demo, we present BLF, an extensible logging framework for decentralized applications deployed on a blockchain. The framework is realized for Ethereum and Hyperledger, and has been tested for applications on those networks, but is extensible for other blockchains. Practitioners can use it to analyze their blockchain application and BPM researchers can explore with it new types of event data - event logs from blockchain applications.

Original languageEnglish
Pages (from-to)111-115
Number of pages5
JournalCEUR Workshop Proceedings
Volume2973
StatePublished - 2021
Externally publishedYes
Event2021 Best Dissertation Award, Doctoral Consortium, and Demonstration and Resources Track at BPM, BPM-D 2021 - Rome, Italy
Duration: 6 Sep 202110 Sep 2021

Keywords

  • Blockchain application
  • Logging
  • Process mining

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