Design and Validation of BlockEval, A Blockchain Simulator

Gouda, Deepak Kumar; Jolly, Shashwat; Kapoor, Kalpesh

doi:10.1109/comsnets51098.2021.9352838

Cited by 8 publications

(10 citation statements)

References 14 publications

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“…Again, the problem is not with the simulators themselves, but with the target application. Focusing on the network layer, all simulators except eVIBES [28] and BlockEval [32] are concerned with relevant metrics. VIBES [37] implements 3 out of the 5 network metrics.…”

Section: Discussionmentioning

confidence: 99%

“…On the consensus layer, 7 simulators implement associated metrics. VIBES [37], eVIBES [28], BlockSim [27], BlockPerf [31], and BlockEval [32] implement only 2 out of the consensus metrics. Local Bitcoin [45] and SIMBA [30] implement only 1 metric related to the consensus layer.…”

Section: Discussionmentioning

confidence: 99%

“…Although they provide coverage on common evaluation parameters and metrics of blockchain in general, they are not concerned with whether existing blockchain simulators support them. Moreover, their work does not account for blockchain simulators that already exist in the literature such as BlockSim, [27], eVIBES [28], and Shadow-Bitcoin [29], or those that have recently emerged such as SIMBA [30], BlockPerf [31], and BlockEval [32]. The authors of [33] follow similar research conduct; however, they generalise their review to include other Distributed Ledger Technologies (DLT) such as Block-based Directed Acyclic Graphs (BlockDAG) and Transaction-based Directed Acyclic Graphs (TDAG).…”

Section: Related Workmentioning

confidence: 99%

“…Another direction is to simulate concurrent operations within blockchain networks. To do so, Gouda et al [32] propose the Blockeval simulator, which uses deep learning algorithms to allow simulating scalable blockchain systems. This makes Blockeval's a modular simulator for assessing the performance of private blockchain networks.…”

Section: Overview Of Blockchain Simulatorsmentioning

confidence: 99%

“…For instance, none of the covered simulators are specifically tailored for experimenting with the intersection of blockchain with other domains such as IoT, Cloud, Cybersecurity, Supply Chain, and others. 6 eVIBES [28] 2 BlockSIM [44] 2 BlockSim [27] 3 SimBlock [47] 1 BlockSim [43] 2 Local Bitcoin [45] 2 SIMBA [30] 3 BlockPerf [31] 5 BlockEval [32] 2 Total VII. CONCLUSIONS Modelling and simulation have been useful in several disciplines, and blockchain is no exception.…”

Section: Rq3 What Are the Limitations Of The Current Simulators?mentioning

confidence: 99%

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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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Section: Discussionmentioning

confidence: 99%