Evaluation of existing blockchain technologies
The popularity of blockchain brought about a multitude of blockchain systems: IOTA, Ethereum, Hyperledger Fabric, and others. These systems operate under different assumptions and have diverging design. The performance and even general behavior of these emerging systems has only been partially investigated [1,2,3].
There are many metrics representing functional and non-functional properties of blockchain systems that it would be interesting to investigate. Some of the metrics are general and can be applied to all systems (transactional throughput and latency) while other metrics are system-specific. The objective of this project is to contribute towards better understanding of these properties.
 Tien Tuan Anh Dinh, Ji Wang, Gang Chen, Rui Liu, Beng Chin Ooi, and Kian-Lee Tan. 2017. BLOCKBENCH: A Framework for Analyzing Private Blockchains. In Proceedings of the 2017 ACM International Conference on Management of Data (SIGMOD '17). ACM, New York, NY, USA, 1085-1100. DOI: https://doi.org/10.1145/3035918.3064033
 Parth Thakkar, Senthil Nathan, Balaji Vishwanathan. Performance Benchmarking and Optimizing Hyperledger Fabric Blockchain Platform.