Table 2: Blockchain performance evaluation overview.

AuthorYearSummary

Bartoletti et al.2017A general framework for blockchain analytics

Xu et al.2017Classified the blockchain implementations and compared them with the blockchain-based frameworks to study the impact of the blockchain architecture on software architectures

Koteska et al.2017Identified the quality attributes for the blockchain technology, and investigated the quality issues, solutions and requirements for the blockchain implementation

Yasaweerasinghelage et al.2017Proposed the use of simulation framework and performance modelling to predict the latency of blockchain-based systems

Kocsis et al.-Proposed performance evaluation model for blockchain technology and it was used to evaluate Hyperledger fabric v0.6

Croman et al.2016Studied the challenges in blockchains scalability, specially Bitcoin

Jermy Rubin2015Introduced an open source software “BTCSpark” for analyzing Bitcoin and building blockchain analysis tools

Sukhwani et al.2017Performance Modeling of PBFT Consensus Process for Permissioned Blockchain Network

Kokoris-Kogias et al.2016Introduced a scalable consensus protocol for public blockchain platforms called ByzCoin

Behl et al.2014Presented a parallelization approach to scale BFT systems and increase their performance.

Eyal et al.2015Proposed Bitcoin-NG protocol to address the scalability of Bitcoin.

Vuckolic et al.2016Comparison between proof of work based blockchains and those based byzantine fault tolerance in term of scalability and performance.

Aniello et al.2017Implementation and evaluation for a two-layered blockchain platform for a federated database.

Suankaewmanee et al.2017Proposed Mobichcain which is a mobile commerce application that uses blockchain as a core technology.

Suporn et al.2017Performance evaluation for two private blockchain implementations; Ethereum and Hyperledger fabric, by varying the number of transactions

Dinh et al.
Anh et al.
2017Performance and scalability evaluation of three blockchain platforms: Hyperledger, Ethereum and parity