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Blockchain-Consensus 2019 : Blockchain Consensus Algorithms (Contributed Book)

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When Nov 30, 2019 - Nov 30, 2019
Where N/A
Submission Deadline Jun 15, 2019
Notification Due Jun 30, 2019
Final Version Due Aug 31, 2019
Categories    blockchain   consensus   algorithms   theoretical computer science
 

Call For Papers

David Hyland-Wood, Shahan Khatchadourian and Sandra Johnson announce a Call for Chapters for a new book to be entitled Blockchain Consensus Algorithms.

First proposal submissions are due 30 April 2019 to d.hylandwood@uq.edu.au CC to shahan.khatchadourian@consensys.net and sandra.johnson@consensys.net

The book will be published in print, ePub format and on the Web by Springer Nature.

CHAPTER PROPOSALS INVITED FROM RESEARCHERS AND PRACTITIONERS IN BLOCKCHAINS, THEORETICAL COMPUTER SCIENCE, DATA SYSTEMS AND INFORMATION SYSTEMS

1st Proposal Submission Deadline: 15 June 2019
Full Chapter Submission Deadline: 31 August 2019


Blockchain Consensus Algorithms
A contributed, peer-reviewed book edited by David Hyland-Wood, Shahan Khatchadourian and Sandra Johnson


I. Introduction

Blockchain Consensus Algorithms is to be an edited volume of ten to twelve contributed chapters on the properties, trade-offs, and uses of blockchain consensus algorithms. Consensus algorithms determine how blockchains form consensus among their participating computer systems. Over 72 blockchain consensus algorithms have been publicly proposed to date, and that number is growing rapidly.

Blockchain Consensus Algorithms is intended to provide both practical and theoretical approaches to addressing common information management issues by application of leading edge research and industry experience. This book will highlight the costs and benefits of choosing consensus algorithms, and therefore the blockchains that implement them, carefully for particular business purposes. The choice of consensus algorithm has significant impact on the fit-for-purpose of a particular blockchain to a particular application requirement. The many consensus algorithms available highlight the fact that there is no silver bullet appropriate for all needs.


II. Topics of Interest

Topics of interest include, but are not limited to:

- Innovations in consensus algorithms
- Handling information uncertainty in consensus algorithms
- Handling communications disruption and/or latency in consensus algorithms
- Trust, reputation and distributed consensus
- Privacy management in consensus algorithms
- Formal verification and validation of consensus algorithms
- Formal methods analysis of consensus algorithms
- Legal and economic aspects of consensus algorithm choice


III. Publisher

The book will be published in print, ePub format and on the Web by Springer Nature. The book is expected to be published in early 2020.


IV. Proposals

Proposals for chapters should consist of a summary of intended material, approximately 1-2 pages in length. Please provide a working chapter title, authors names and affiliations, relevant experience with blockchain consensus algorithms and a description of the proposed chapter’s contents.

Proposals and full chapter submissions will undergo peer review.


V. Important Dates

15 June 2019: Proposal Submission Deadline
30 June 2019: Notification of Proposal Acceptance
31 August 2019: Full Chapter Submission
15 September 2019: Review Results Notification
15 October 2019: Revised Chapter Submission
1 November 2019: Final Decision Notification
30 November 2019: Final Revised and Formatted Chapter Submission

Inquiries and submissions should be sent by electronic mail to:
d.hylandwood@uq.edu.au CC to shahan.khatchadourian@consensys.net


VI. Steering Committee

David Hyland-Wood, ConsenSys AG and School of Information Technology
and Electrical Engineering, The University of Queensland

Shahan Khatchadourian, ConsenSys AG

Sandra Johnson, ConsenSys AG

Marius Portmann, School of Information Technology
and Electrical Engineering, The University of Queensland

Alastair Robb, UQ Business School, The University of Queensland

Mariano Consens, Mechanical & Industrial Engineering, the
University of Toronto

Reza Samavi, Department of Computing & Software, McMaster
University

Valeria Fionda, Department of Mathematics and Computer Science,
University of Calabria

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