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Author | Year | Summary |
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Bartoletti et al. | 2017 | A general framework for blockchain analytics |
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Xu et al. | 2017 | Classified the blockchain implementations and compared them with the blockchain-based frameworks to study the impact of the blockchain architecture on software architectures |
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Koteska et al. | 2017 | Identified the quality attributes for the blockchain technology, and investigated the quality issues, solutions and requirements for the blockchain implementation |
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Yasaweerasinghelage et al. | 2017 | Proposed the use of simulation framework and performance modelling to predict the latency of blockchain-based systems |
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Kocsis et al. | - | Proposed performance evaluation model for blockchain technology and it was used to evaluate Hyperledger fabric v0.6 |
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Croman et al. | 2016 | Studied the challenges in blockchains scalability, specially Bitcoin |
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Jermy Rubin | 2015 | Introduced an open source software “BTCSpark” for analyzing Bitcoin and building blockchain analysis tools |
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Sukhwani et al. | 2017 | Performance Modeling of PBFT Consensus Process for Permissioned Blockchain Network |
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Kokoris-Kogias et al. | 2016 | Introduced a scalable consensus protocol for public blockchain platforms called ByzCoin |
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Behl et al. | 2014 | Presented a parallelization approach to scale BFT systems and increase their performance. |
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Eyal et al. | 2015 | Proposed Bitcoin-NG protocol to address the scalability of Bitcoin. |
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Vuckolic et al. | 2016 | Comparison between proof of work based blockchains and those based byzantine fault tolerance in term of scalability and performance. |
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Aniello et al. | 2017 | Implementation and evaluation for a two-layered blockchain platform for a federated database. |
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Suankaewmanee et al. | 2017 | Proposed Mobichcain which is a mobile commerce application that uses blockchain as a core technology. |
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Suporn et al. | 2017 | Performance evaluation for two private blockchain implementations; Ethereum and Hyperledger fabric, by varying the number of transactions |
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Dinh et al. Anh et al. | 2017 | Performance and scalability evaluation of three blockchain platforms: Hyperledger, Ethereum and parity |
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