The potential of blockchain technology is immense and is currently regarded as a new technological trend with a rapid growth rate. Blockchain platforms like Bitcoin are public, open, and permission-less. They are also decentralized, immutable, and append-only ledger; those ledgers can store any type of data and are shared among all the participants of the network. These platforms provide a high degree of anonymity for their users' identity and full transparency of the activities recorded on the ledger while simultaneously ensuring data security and tamper-resistance. All nodes on the network collectively work to validate the same set of data and to achieve group consensus. Blockchain platforms like Ethereum have the ability to develop smart contracts and embed business logic. This allows the use of blockchain beyond cryptocurrency as a business management solution. Besides the issues of scalability and the expensive nature of most blockchain systems, many attributes of traditional public blockchain are not desirable in a business or enterprise context such as anonymity, full transparency, and permissionless. Permissioned blockchain platforms like Hyperledger Fabric are designed and built with enterprise and business in mind, retaining the desirable qualities of blockchain for enterprise while replacing the qualities of blockchain that are undesirable for the enterprise. In this paper, we present a comprehensive review on the Hyperledger enterprise blockchain technologies.
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Performance Modeling of Hyperledger Sawtooth Blockchain
With the rapid development of blockchain plat-forms, it is important that different implementations are tested and analyzed for comparative purposes. One such implementation is Hyperledger Sawtooth, a new member of the Hyperledger family. Sawtooth blockchain is a per-missioned implementation developed in part by Intel. While research has been done on Hyperledger Fabric, re-search on Sawtooth is not well documented. Using the Hy-perledger Caliper benchmarking tool, we aim to test the performance of the blockchain and identify potential issues.
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- Award ID(s):
- 1921485
- NSF-PAR ID:
- 10172683
- Date Published:
- Journal Name:
- 2019 IEEE Conference on Intelligence and Security Informatics
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Conference Paper:
- https://doi.org/10.1109/ISI.2019.8823238
