The white paper presents a charter setting out seven commitments that social housing residents should be able to expect from their landlord. #White paper codeWe welcome the paper and its focus on resident voice and influence, aligning with the work the sector has been doing to achieve greater accountability to residents through the new 2020 Code of Governance and the Together with Tenants initiative. We observe that hashgraph can improve latency by an order of magnitude over HoneyBadgerBFT and BEAT, while keeping throughput constant with the same number of nodes similarly, throughput can increase by up to an order of magnitude while maintaining latency.įurthermore, we test hashgraph’s capability for high performance, achieving over 100,000 tps with less than 5 second latency in some instances.The Social Housing White Paper was published by the Ministry of Housing Communities and Local Government on 17 November 2020. We perform an extensive empirical study to understand how hashgraph’s structure affects performance. We describe how hashgraph - an asynchronous BFT atomic broadcast protocol (ABFT) - departs in structure from prior work by not using communication to vote, only to broadcast transactions. Although asymptotically optimal, their practical performance precludes their use in demanding applications.įurther performance improvements to HoneyBadgerBFT and BEAT are not obvious as they run two separate sub-protocols for broadcast and voting, each of which has already been optimized. Recent proposals such as HoneyBadgerBFT (ACM CCS ‘16) and BEAT (ACM CCS ‘18) achieve optimal communication complexity, growing linearly as a function of the number of nodes present. The most robust protocols achieve byzantine fault tolerance (BFT) and operate in asynchronous networks. Developers utilizing HCS should seek legal and compliance advice from an independent qualified professional.Īrchitecting for Privacy and Data Protection on HederaĪtomic broadcast protocols are increasingly used to build distributed ledgers. Other obligations and regulations not discussed in this paper may apply to participants in the Hedera ecosystem depending on the context of their participation in the Hedera Network or characteristics of their application. Data privacy regulations continue to evolve, may vary significantly between jurisdictions, and can be ambiguous when applied to uses of emerging technology. This publication is intended to provide an overview of some of the features and functionality of HCS and should not be considered or relied upon as legal advice. These principles are central to the European Union’s General Data Protection Regulation (the GDPR) and other data privacy regulation frameworks around the globe. The Hedera Consensus Service (HCS) enables a decentralized architecture that can help solve for certain data privacy compliance challenges presented by naïve implementations of distributed ledger technology (DLT), while making possible new data privacy compliance mechanisms that are consistent with principles of user empowerment and control over how their identity attributes are collected, stored, processed, and shared.
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