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

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 journal › Conference article › peer-review

8 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 language	English
Pages (from-to)	111-115
Number of pages	5
Journal	CEUR Workshop Proceedings
Volume	2973
State	Published - 2021
Externally published	Yes
Event	2021 Best Dissertation Award, Doctoral Consortium, and Demonstration and Resources Track at BPM, BPM-D 2021 - Rome, Italy Duration: 6 Sep 2021 → 10 Sep 2021

Keywords

Blockchain application
Logging
Process mining

Cite this

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title = "BLF: A blockchain logging framework for mining blockchain data",

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.",

keywords = "Blockchain application, Logging, Process mining",

author = "Paul Beck and Hendrik Bockrath and Tom Knoche and Mykola Digtiar and Tobias Petrich and Daniil Romanchenko and Richard Hobeck and Luise Pufahl and Christopher Klinkm{\"u}ller and Ingo Weber",

note = "Publisher Copyright: {\textcopyright} 2021 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).; 2021 Best Dissertation Award, Doctoral Consortium, and Demonstration and Resources Track at BPM, BPM-D 2021 ; Conference date: 06-09-2021 Through 10-09-2021",

year = "2021",

language = "English",

volume = "2973",

pages = "111--115",

journal = "CEUR Workshop Proceedings",

issn = "1613-0073",

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TY - JOUR

T1 - BLF

T2 - 2021 Best Dissertation Award, Doctoral Consortium, and Demonstration and Resources Track at BPM, BPM-D 2021

AU - Beck, Paul

AU - Bockrath, Hendrik

AU - Knoche, Tom

AU - Digtiar, Mykola

AU - Petrich, Tobias

AU - Romanchenko, Daniil

AU - Hobeck, Richard

AU - Pufahl, Luise

AU - Klinkmüller, Christopher

AU - Weber, Ingo

PY - 2021

Y1 - 2021

N2 - 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.

AB - 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.

KW - Blockchain application

KW - Logging

KW - Process mining

UR - https://www.scopus.com/pages/publications/85117186465

M3 - Conference article

AN - SCOPUS:85117186465

SN - 1613-0073

VL - 2973

SP - 111

EP - 115

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

Y2 - 6 September 2021 through 10 September 2021

ER -

BLF: A blockchain logging framework for mining blockchain data

Abstract

Keywords

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