SymBChainSim: A Novel Simulation Tool for Dynamic and Adaptive Blockchain Management and its Trilemma Tradeoff

George Diamantopoulos; Rami Bahsoon; Nikos Tziritas

doi:10.1145/3573900.3591121

SymBChainSim: A Novel Simulation Tool for Dynamic and Adaptive Blockchain Management and its Trilemma Tradeoff

George Diamantopoulos, Rami Bahsoon, Nikos Tziritas

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Abstract

Despite the recent increase in the popularity of blockchain, the technology suffers from the trilemma trade-off between security decentralisation and scalability prohibiting adoption, and limiting the efficiency and effectiveness of the induced system. Addressing the trilemma trade-off calls for dynamic management and configuration of the blockchain system. In particular, choosing an effective and efficient consensus protocol for balancing the trilemma trade-off when inducing the blockchain-based system is acknowledged to be a challenging problem given the dynamic and complex nature of the blockchain environment. DDDAS approaches are particularly suitable for this challenge, and in previous work, the authors presented a novel DDDAS-based blockchain architecture and demonstrated that it offers a promising approach for dynamically adjusting the parameters of a system and optimising for the trade-off. This paper presents a novel simulation tool that can support and satisfy the DDDAS requirements for a dynamically re-configurable blockchain system. The tool supports the simulation and the dynamic switching of consensus protocols, analysing their trilemma trade-off. The simulator design is modular and allows the implementation and analysis of a wide range of consensus protocols and their implementation scenarios, along with the ability for parallelization. The paper also presents a quantitative evaluation of the tool.

Original language	English
Title of host publication	SIGSIM-PADS '23
Subtitle of host publication	Proceedings of the 2023 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation
Editors	Margaret Loper, Dong (Kevin) Jin, Christopher D. Carothers
Place of Publication	New York
Publisher	Association for Computing Machinery (ACM)
Pages	118–127
Number of pages	10
ISBN (Electronic)	9798400700309
DOIs	https://doi.org/10.1145/3573900.3591121
Publication status	Published - 21 Jun 2023
Event	SIGSIM-PADS '23: SIGSIM Conference on Principles of Advanced Discrete Simulation - Orlando, United States Duration: 16 Jun 2023 → 19 Jun 2023

Publication series

Name	PADS: Principles of Advanced and Distributed Simulation

Conference

Conference	SIGSIM-PADS '23
Abbreviated title	PADS 2023
Country/Territory	United States
City	Orlando
Period	16/06/23 → 19/06/23

Keywords

Blockchain
Infosymbiotic Systems
DDDAS
Digital Twin
Simulation
Optimisation

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DiamantopoulosG2023SymBChainSimFinal published version, 684 KBLicence: Creative Commons: Attribution (CC BY)

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Diamantopoulos, G., Bahsoon, R., & Tziritas, N. (2023). SymBChainSim: A Novel Simulation Tool for Dynamic and Adaptive Blockchain Management and its Trilemma Tradeoff. In M. Loper, D. Jin, & C. D. Carothers (Eds.), SIGSIM-PADS '23: Proceedings of the 2023 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation (pp. 118–127). (PADS: Principles of Advanced and Distributed Simulation). Association for Computing Machinery (ACM). https://doi.org/10.1145/3573900.3591121

Diamantopoulos, George ; Bahsoon, Rami ; Tziritas, Nikos. / SymBChainSim : A Novel Simulation Tool for Dynamic and Adaptive Blockchain Management and its Trilemma Tradeoff. SIGSIM-PADS '23: Proceedings of the 2023 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation. editor / Margaret Loper ; Dong (Kevin) Jin ; Christopher D. Carothers. New York : Association for Computing Machinery (ACM), 2023. pp. 118–127 (PADS: Principles of Advanced and Distributed Simulation).

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abstract = "Despite the recent increase in the popularity of blockchain, the technology suffers from the trilemma trade-off between security decentralisation and scalability prohibiting adoption, and limiting the efficiency and effectiveness of the induced system. Addressing the trilemma trade-off calls for dynamic management and configuration of the blockchain system. In particular, choosing an effective and efficient consensus protocol for balancing the trilemma trade-off when inducing the blockchain-based system is acknowledged to be a challenging problem given the dynamic and complex nature of the blockchain environment. DDDAS approaches are particularly suitable for this challenge, and in previous work, the authors presented a novel DDDAS-based blockchain architecture and demonstrated that it offers a promising approach for dynamically adjusting the parameters of a system and optimising for the trade-off. This paper presents a novel simulation tool that can support and satisfy the DDDAS requirements for a dynamically re-configurable blockchain system. The tool supports the simulation and the dynamic switching of consensus protocols, analysing their trilemma trade-off. The simulator design is modular and allows the implementation and analysis of a wide range of consensus protocols and their implementation scenarios, along with the ability for parallelization. The paper also presents a quantitative evaluation of the tool.",

keywords = "Blockchain, Infosymbiotic Systems, DDDAS, Digital Twin, Simulation, Optimisation",

author = "George Diamantopoulos and Rami Bahsoon and Nikos Tziritas",

year = "2023",

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doi = "10.1145/3573900.3591121",

language = "English",

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Diamantopoulos, G , Bahsoon, R & Tziritas, N 2023, SymBChainSim: A Novel Simulation Tool for Dynamic and Adaptive Blockchain Management and its Trilemma Tradeoff. in M Loper, D Jin & CD Carothers (eds), SIGSIM-PADS '23: Proceedings of the 2023 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation. PADS: Principles of Advanced and Distributed Simulation, Association for Computing Machinery (ACM), New York, pp. 118–127, SIGSIM-PADS '23, Orlando, Florida, United States, 16/06/23. https://doi.org/10.1145/3573900.3591121

SymBChainSim: A Novel Simulation Tool for Dynamic and Adaptive Blockchain Management and its Trilemma Tradeoff. / Diamantopoulos, George ; Bahsoon, Rami; Tziritas, Nikos.
SIGSIM-PADS '23: Proceedings of the 2023 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation. ed. / Margaret Loper; Dong (Kevin) Jin; Christopher D. Carothers. New York: Association for Computing Machinery (ACM), 2023. p. 118–127 (PADS: Principles of Advanced and Distributed Simulation).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T1 - SymBChainSim

T2 - SIGSIM-PADS '23

AU - Diamantopoulos, George

AU - Bahsoon, Rami

AU - Tziritas, Nikos

PY - 2023/6/21

Y1 - 2023/6/21

N2 - Despite the recent increase in the popularity of blockchain, the technology suffers from the trilemma trade-off between security decentralisation and scalability prohibiting adoption, and limiting the efficiency and effectiveness of the induced system. Addressing the trilemma trade-off calls for dynamic management and configuration of the blockchain system. In particular, choosing an effective and efficient consensus protocol for balancing the trilemma trade-off when inducing the blockchain-based system is acknowledged to be a challenging problem given the dynamic and complex nature of the blockchain environment. DDDAS approaches are particularly suitable for this challenge, and in previous work, the authors presented a novel DDDAS-based blockchain architecture and demonstrated that it offers a promising approach for dynamically adjusting the parameters of a system and optimising for the trade-off. This paper presents a novel simulation tool that can support and satisfy the DDDAS requirements for a dynamically re-configurable blockchain system. The tool supports the simulation and the dynamic switching of consensus protocols, analysing their trilemma trade-off. The simulator design is modular and allows the implementation and analysis of a wide range of consensus protocols and their implementation scenarios, along with the ability for parallelization. The paper also presents a quantitative evaluation of the tool.

AB - Despite the recent increase in the popularity of blockchain, the technology suffers from the trilemma trade-off between security decentralisation and scalability prohibiting adoption, and limiting the efficiency and effectiveness of the induced system. Addressing the trilemma trade-off calls for dynamic management and configuration of the blockchain system. In particular, choosing an effective and efficient consensus protocol for balancing the trilemma trade-off when inducing the blockchain-based system is acknowledged to be a challenging problem given the dynamic and complex nature of the blockchain environment. DDDAS approaches are particularly suitable for this challenge, and in previous work, the authors presented a novel DDDAS-based blockchain architecture and demonstrated that it offers a promising approach for dynamically adjusting the parameters of a system and optimising for the trade-off. This paper presents a novel simulation tool that can support and satisfy the DDDAS requirements for a dynamically re-configurable blockchain system. The tool supports the simulation and the dynamic switching of consensus protocols, analysing their trilemma trade-off. The simulator design is modular and allows the implementation and analysis of a wide range of consensus protocols and their implementation scenarios, along with the ability for parallelization. The paper also presents a quantitative evaluation of the tool.

KW - Blockchain

KW - Infosymbiotic Systems

KW - DDDAS

KW - Digital Twin

KW - Simulation

KW - Optimisation

U2 - 10.1145/3573900.3591121

DO - 10.1145/3573900.3591121

M3 - Conference contribution

T3 - PADS: Principles of Advanced and Distributed Simulation

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EP - 127

BT - SIGSIM-PADS '23

A2 - Loper, Margaret

A2 - Jin, Dong (Kevin)

A2 - Carothers, Christopher D.

PB - Association for Computing Machinery (ACM)

CY - New York

Y2 - 16 June 2023 through 19 June 2023

ER -

Diamantopoulos G , Bahsoon R, Tziritas N. SymBChainSim: A Novel Simulation Tool for Dynamic and Adaptive Blockchain Management and its Trilemma Tradeoff. In Loper M, Jin D, Carothers CD, editors, SIGSIM-PADS '23: Proceedings of the 2023 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation. New York: Association for Computing Machinery (ACM). 2023. p. 118–127. (PADS: Principles of Advanced and Distributed Simulation). doi: 10.1145/3573900.3591121

SymBChainSim: A Novel Simulation Tool for Dynamic and Adaptive Blockchain Management and its Trilemma Tradeoff

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Keywords

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