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Opportunities, Challenges, and Future Extensions for Smart-Contract Design Patterns

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Business Information Systems Workshops (BIS 2018)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 339))

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Abstract

Blockchains enable the trustless establishment of long-term consensus. The primary paradigm for extending this capability to generalized use cases is smart contracts. Smart contracts have the advantages of trustlessness, immutability, transparency, censorship-resistance, and DDoS resistance, but suffer from immutability, chain-boundedness, high cost of storage and execution, and poor parallelizability. While the advantages of smart contracts create many opportunities, their unique properties impose important constraints. A suite of design patterns are therefore proposed as one methodology for addressing these constraints while taking full advantage of the opportunities that smart contracts provide.

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Acknowledgment

This material is based upon work supported by the National Science Foundation under Grants Nos. 1547164, 1547245, and 1821926. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.

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Authors and Affiliations

  1. Clemson University, Clemson, SC, 29634, USA

    Carl R. Worley

  2. University of Tennessee at Chattanooga, 701 E. ML King Jr. Blvd, Chattanooga, TN, 37403, USA

    Anthony Skjellum

Authors
  1. Carl R. Worley
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  2. Anthony Skjellum
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Corresponding author

Correspondence to Carl R. Worley .

Editor information

Editors and Affiliations

  1. Poznań University of Economics and Business, Poznań, Poland

    Witold Abramowicz

  2. Fraunhofer FOKUS, Berlin, Berlin, Germany

    Adrian Paschke

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Worley, C.R., Skjellum, A. (2019). Opportunities, Challenges, and Future Extensions for Smart-Contract Design Patterns. In: Abramowicz, W., Paschke, A. (eds) Business Information Systems Workshops. BIS 2018. Lecture Notes in Business Information Processing, vol 339. Springer, Cham. https://doi.org/10.1007/978-3-030-04849-5_24

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  • DOI: https://doi.org/10.1007/978-3-030-04849-5_24

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-04848-8

  • Online ISBN: 978-3-030-04849-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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