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Dynamic Digital Twins of Blockchain Systems: State Extraction and Mirroring

Georgios Diamantopoulos, Nikos Tziritas, Rami Bahsoon, Nan Zhang, Georgios Theodoropoulos

TL;DR

Problem: balancing scalability, security and decentralisation in dynamic blockchain environments. Approach: a Digital Twin that extracts and mirrors blockchain state through Peer State Estimation and a block-header–based synchronisation mechanism within a DDDAS loop. Contributions: a robust state-extraction algorithm that reconstructs global/peer states from partial data, a synchronization scheme using block references to maintain correct temporal ordering, and experimental validation with SymBChainSim showing robustness to missing updates. Significance: enables dynamic consensus adaptation and improved management of permissioned blockchains.

Abstract

Blockchain adoption is reaching an all-time high, with a plethora of blockchain architectures being developed to cover the needs of applications eager to integrate blockchain into their operations. However, blockchain systems suffer from the trilemma trade-off problem, which limits their ability to scale without sacrificing essential metrics such as decentralisation and security. The balance of the trilemma trade-off is primarily dictated by the consensus protocol used. Since consensus protocols are designed to function well under specific system conditions, and consequently, due to the blockchain's complex and dynamic nature, systems operating under a single consensus protocol are bound to face periods of inefficiency. The work presented in this paper constitutes part of an effort to design a Digital Twin-based blockchain management framework to balance the trilemma trade-off problem, which aims to adapt the consensus process to fit the conditions of the underlying system. Specifically, this work addresses the problems of extracting the blockchain system and mirroring it in its digital twin by proposing algorithms that overcome the challenges posed by blockchains' decentralised and asynchronous nature and the fundamental problems of global state and synchronisation in such systems. The robustness of the proposed algorithms is experimentally evaluated.

Dynamic Digital Twins of Blockchain Systems: State Extraction and Mirroring

TL;DR

Problem: balancing scalability, security and decentralisation in dynamic blockchain environments. Approach: a Digital Twin that extracts and mirrors blockchain state through Peer State Estimation and a block-header–based synchronisation mechanism within a DDDAS loop. Contributions: a robust state-extraction algorithm that reconstructs global/peer states from partial data, a synchronization scheme using block references to maintain correct temporal ordering, and experimental validation with SymBChainSim showing robustness to missing updates. Significance: enables dynamic consensus adaptation and improved management of permissioned blockchains.

Abstract

Blockchain adoption is reaching an all-time high, with a plethora of blockchain architectures being developed to cover the needs of applications eager to integrate blockchain into their operations. However, blockchain systems suffer from the trilemma trade-off problem, which limits their ability to scale without sacrificing essential metrics such as decentralisation and security. The balance of the trilemma trade-off is primarily dictated by the consensus protocol used. Since consensus protocols are designed to function well under specific system conditions, and consequently, due to the blockchain's complex and dynamic nature, systems operating under a single consensus protocol are bound to face periods of inefficiency. The work presented in this paper constitutes part of an effort to design a Digital Twin-based blockchain management framework to balance the trilemma trade-off problem, which aims to adapt the consensus process to fit the conditions of the underlying system. Specifically, this work addresses the problems of extracting the blockchain system and mirroring it in its digital twin by proposing algorithms that overcome the challenges posed by blockchains' decentralised and asynchronous nature and the fundamental problems of global state and synchronisation in such systems. The robustness of the proposed algorithms is experimentally evaluated.

Paper Structure

This paper contains 16 sections, 2 equations, 6 figures, 2 algorithms.

Table of Contents

  1. Introduction
  2. System Model
  3. Blockchain
  4. Trilemma Trade-off Properties
  5. Twinning a Blockchain
  6. Extracting the Blockchain State
  7. Related Work:
  8. Local State Extraction
  9. Global State Estimation
  10. Peer State Estimation
  11. Peer State Estimation
  12. Synchronisation Issues
  13. Effect of Byzantine Behaviour
  14. Experimental Evaluation
  15. Results
  16. ...and 1 more sections

Figures (6)

  • Figure 1: High-level architecture of proposed digital twin-based blockchain management framework.
  • Figure 2: Blockchain state extraction approaches.
  • Figure 3: Architecture of proposed blockchain state extraction mechanism based on estimated peer states
  • Figure 4: Reconstructing a blockchain state with (b) and without (a) synchronisation.
  • Figure 5: Simulation results comparing the performance of the real system to that of the reconstructed model
  • ...and 1 more figures