Patterns for Blockchain Data Migration

Hmn Dilum Bandara, Xiwei Xu, Ingo Weber

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations


With the rapid evolution of technological, economic, and regulatory landscapes, contemporary blockchain platforms are all but certain to undergo major changes. Therefore, the applications that rely on them will eventually need to migrate from one blockchain instance to another to remain competitive and secure, as well as to enhance the business process, performance, cost efficiency, privacy, and regulatory compliance. However, the differences in data and smart contract representations, modes of hosting, transaction fees, as well as the need to preserve consistency, immutability, and data provenance introduce unique challenges over database migration. We first present a set of blockchain migration scenarios and data fidelity levels using an illustrative example. We then present a set of migration patterns to address those scenarios and the above data management challenges. Finally, we demonstrate how the effort, cost, and risk of migration could be minimized by choosing a suitable set of data migration patterns, data fidelity level, and proactive system design. Practical considerations and research challenges are also highlighted.

Original languageEnglish
Title of host publicationProceedings of the European Conference on Pattern Languages of Programs 2020, EuroPLoP 2020
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450377690
StatePublished - 1 Jul 2020
Externally publishedYes
Event2020 European Conference on Pattern Languages of Programs, EuroPLoP 2020 - Virtual, Online, Germany
Duration: 1 Jul 20204 Jul 2020

Publication series

NameACM International Conference Proceeding Series


Conference2020 European Conference on Pattern Languages of Programs, EuroPLoP 2020
CityVirtual, Online


  • blockchain
  • data migration
  • patterns
  • smart contract
  • transactions


Dive into the research topics of 'Patterns for Blockchain Data Migration'. Together they form a unique fingerprint.

Cite this