Browsing by Subject "scalability"

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    Innovative Finance Week 4 Video 6 - Early stage risk
    (2019) Patton, Aunnie
    This video focuses on early stage risk and scalability. The video discusses venture philanthropy and the various instruments they use to support their projects. It also talks about the role they play within companies and startups. The video also touches on the financial instruments used by funders when early stage risk is high. Incubators and how they help early stage startups are also discussed. The video then defines lifecycle funding and provides and industry example. This is video 6/11 in week 4 of the Innovative Finance: Hacking Finance to Change the World course.
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    Innovative Finance Week 5 Video 3 - Designing for Impact - Zoona
    (2019) Phiri, Lelemba
    This video focuses on Zoona's case study. It discusses the organisation's initial design. The video discusses how the project was created and the thoughts that went behind it. It also touches on customer's requirements and how Sunga sought to meet them. The video also touches on the various use cases and how they vary amongst customers. The video also shows how meeting with customers helped their product progress. The video also discusses the prototyping process for the product. This is video 3/8 in week 5 of the Innovative Finance: Hacking Finance to Change the World course.
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    Understanding scalability in distributed ledger technology
    (2020) Clark, Jonathan; Georg, Co-Pierre
    Distributed ledger technology (DLT) stands to benefit industries such as financial services with transparency and censorship resistance. DLT systems need to be scalable to handle mass user adoption. Mass user adoption is required to demonstrate the true value of DLT. This dissertation first analyses scalability in ethereum and EOS. Currently, ethereum 1.0 uses proof of work (PoW) and handles only 14 transactions per second (tps) compared to Visa's peak 47 000 tps. Ethereum 2.0, known as Serenity, introduces sharding, proof of stake (Casper), plasma and state channels in and effort to scale the system. EOS uses a delegated proof of stake (DPoS) protocol, where 21 super-nodes, termed ‘block producers' (BPs), facilitate consensus, bringing about significant scalability improvements (4000 tps). The trade-off is decentralisation. EOS is not sufficiently decentralised because the BPs yield significant power, but are not diverse. This dissertation conducts an empirical analysis using unsupervised machine learning to show that there is a high probability collusion is occurring between certain BPs. It then suggests possible protocol alterations such as inverse vote weighting that could curb adverse voting behaviour in DPoS. It further analyses whether universities are suitable BP's before mapping out required steps for universities to become block producers (leading to improved decentralisation in EOS)