Blockchain Simulation and Development platforms: Survey, Issues and Challenges

Anilkumar, Vysakh; Joji, Joseph Antony; Afzal, Asif; Sheik, Reshma

doi:10.1109/iccs45141.2019.9065421

Cited by 12 publications

(7 citation statements)

References 2 publications

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“…Truffle is a development framework comprising a collection of tools for creating and developing blockchain applications in the Ethereum network [18], [37].…”

Section: F Toolsmentioning

confidence: 99%

E-Voting Meets Blockchain: A Survey

et al. 2023

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The utilization of electronic voting systems for the election of public offices is becoming widespread globally. This trend can be attributed to the benefits provided by these systems, including remote voting capabilities and accelerated vote counting. Furthermore, electronic voting systems offer improved privacy and enhanced protection against voting bias. Blockchain technology enhances the robustness of the voting Vote in person Vote by mail Count the votes FIGURE 1: Traditional voting process. In a conventional paper ballot-based voting system, eligible voters are required to register with the election commission

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“…Truffle is a development framework comprising a collection of tools for creating and developing blockchain applications in the Ethereum network [18], [37].…”

Section: F Toolsmentioning

confidence: 99%

E-Voting Meets Blockchain: A Survey

et al. 2023

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“…Anilkumar et al [24] cover the popular and noteworthy blockchain-based platforms and their characteristics, such as Ethereum, IBM OBC, Intel Sawtooth Lake, BlockStream Sidechain Elements and Eris. A number of simulation platforms for Ethereum are also listed.…”

Section: Related Workmentioning

confidence: 99%

Blockchain Simulators: A Systematic Mapping Study

Albshri

Alzubaidi

Awaji

et al. 2022

2022 IEEE International Conference on Services Computing (SCC)

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Recently, distributed ledger technologies like blockchain have been proliferating and have attracted interest from the academic community, government, and industry. A wide range of blockchain solutions has been introduced, such as Bitcoin, Ethereum, and Hyperledger technologies in the literature. However, tools for evaluating these solutions and their applications are still lacking, limiting the exploration of their potentiality and associated challenges/limitations. That is, experimenting with real blockchain networks usually requires a solid budget; and thus, sophisticated blockchain simulators can facilitate designing and evaluating solutions before the actual implementation stage. The quality of such simulators depends on several factors such as usability, reliability, provided capabilities, and supported features. This paper aims to provide a systemic mapping review of blockchain simulators focusing on these quality factors. This paper also sheds light on the configuration parameters (inputs) and produced metrics (outputs) supported by each simulator. Furthermore, it investigates which metrics supported by each simulator are scientifically validated/evaluated. Moreover, code quality comparison is carried out to assess the source code of the covered simulators. The results reveal that no simulator fully covers the wide operational range of features and capabilities of existing blockchain technologies. However, several promising efforts exist in the domain of blockchain simulation with interesting and useful features. Finally, we discuss the subject of blockchain simulation and provide our insight into the matter.

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“…In later sections, we describe how FoBSim serves as a reliable tool to mimic an FC-BC integration scenario. Anilkumar et al (2019) have compared different available simulation platforms specifically mimicking the Ethereum BC, namely Remix Ethereum (Ethereum, 2020), Truffle Suite (Truffle Blockchain Group, 2020), Mist (Bahga & Madisetti, 2017), and Geth (Bruno, 2018). The comparison includes some guidelines and properties such as the initialization and the ease of deployment.…”

Section: Bc Simulation Toolsmentioning

confidence: 99%

FoBSim: an extensible open-source simulation tool for integrated fog-blockchain systems

Baniata¹,

Kertész²

2021

PeerJ Computer Science

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A lot of hard work and years of research are still needed for developing successful Blockchain (BC) applications. Although it is not yet standardized, BC technology was proven as to be an enhancement factor for security, decentralization, and reliability, leading to be successfully implemented in cryptocurrency industries. Fog computing (FC) is one of the recently emerged paradigms that needs to be improved to serve Internet of Things (IoT) environments of the future. As hundreds of projects, ideas, and systems were proposed, one can find a great R&D potential for integrating BC and FC technologies. Examples of organizations contributing to the R&D of these two technologies, and their integration, include Linux, IBM, Google, Microsoft, and others. To validate an integrated Fog-Blockchain protocol or method implementation, before the deployment phase, a suitable and accurate simulation environment is needed. Such validation should save a great deal of costs and efforts on researchers and companies adopting this integration. Current available simulation environments facilitate Fog simulation, or BC simulation, but not both. In this paper, we introduce a Fog-Blockchain simulator, namely FoBSim, with the main goal to ease the experimentation and validation of integrated Fog-Blockchain approaches. According to our proposed workflow of simulation, we implement different Consensus Algorithms (CA), different deployment options of the BC in the FC architecture, and different functionalities of the BC in the simulation. Furthermore, technical details and algorithms on the simulated integration are provided. We validate FoBSim by describing the technologies used within FoBSim, highlighting FoBSim’s novelty compared to the state-of-the-art, discussing the event validity in FoBSim, and providing a clear walk-through validation. Finally, we simulate case studies, then present and analyze the obtained results, where deploying the BC network in the fog layer shows enhanced efficiency in terms of total run time and total storage cost.

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Blockchain Simulation and Development platforms: Survey, Issues and Challenges

Cited by 12 publications

References 2 publications

E-Voting Meets Blockchain: A Survey

E-Voting Meets Blockchain: A Survey

Blockchain Simulators: A Systematic Mapping Study

FoBSim: an extensible open-source simulation tool for integrated fog-blockchain systems

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