Module Specifications..
Current Academic Year 2023 - 2024
Please note that this information is subject to change.
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Repeat examination |
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Description This module will give students a knowledge of many of the technologies which underpin distributed ledger implementations and smart contract architectures, and how they scale. Various implementation approaches and acceleration techniques will be explored, and their energy cost and throughput will be evaluated as a function of ledger size and transaction rate. The resources needed to compromise the ledger or subvert the contract will also be explored for various existing and proposed distributed ledger, smart contract and blockchain approaches. | |||||||||||||||||||||||||||||||||||||||||
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Learning Outcomes 1. Explain the operation of peer to peer networks and the associated resource discovery algorithms 2. Critically evaluate the scaling properties of such networks. 3. Compare various distributed trust and consensus algorithms and their scaling properties from a cost and vulnerability perspective. 4. Critically evaluate methods for achieving consensus (e.g., blockchain mining), identifying the benefits of various architectures and acceleration techniques, and the energy cost of each method. 5. Critically evaluate methods of establishing trust including Proofs such as Proof of Stake, and to select among the alternatives based on considerations of scale and energy cost. 6. Identify the elements in any smart contract architecture which require stakeholder trust, and critically evaluate how their vulnerability scales with network size. 7. Analyse the transaction rates achievable in various smart contract and cryptocurrency architectures. | |||||||||||||||||||||||||||||||||||||||||
All module information is indicative and subject to change. For further information,students are advised to refer to the University's Marks and Standards and Programme Specific Regulations at: http://www.dcu.ie/registry/examinations/index.shtml |
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Indicative Content and Learning Activities
Peer to peer networksAn assessment of architectures, protocols and algorithms to support distributed computing and data processing where all parties are peers.Distributed trust from a scalability perspectiveA review of a number of algorithms used or proposed for blockchain, smart contract and related applications requiring distributed trust will be undertaken. For each algorithm, the impact of increasing the number of participants on the aggregate computational load and the achievable transaction rate will be assessed.Proof of Stake and alternativesNumerical evaluation of the computational and energy cost of implementing Proof of Work, using a range of acceleration techniques. Investigation of alternatives to Proof of Work using the same criteria, so that the appropriate algorithm for given blockchain or other distributed trust applications can be selected.Distributed Trust and Smart ContractsExplore the robustness of various architectures for implementing distributed trust and smart contracts, considering how increased network size affects the architecture's vulnerability to malicious actors. The tradeoffs between computational load and vulnerability will be determined for all approaches.Use case explorationCombine the elements above to identify a suitable architecture and set of algorithms for a specific use case. | |||||||||||||||||||||||||||||||||||||||||
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Indicative Reading List
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Other Resources None | |||||||||||||||||||||||||||||||||||||||||
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