'Near optimal throughput': A deep dive into Ouroboros Leios

In this video, Giorgos Panagiotakos, a research fellow at Input Output, delves into scaling throughput and specifically Ouroboros Leios, a new member of the Ouroboros protocol family that achieves near optimal throughput.

Traditional blockchain protocols use a leader-based approach for block proposals, but this often results in suboptimal throughput. Panagiotakos highlights the importance of high throughput for reducing congestion and enabling the efficient operation of layer 2 applications.

Key topics discussed:

- current blockchain protocols: analysis of leader-based protocols like Bitcoin and their throughput limitations.
- challenges in blockchain networking: protocol bursts and equivocation attacks.
previous high throughput solutions: input endorsers, parallel chains, and BFT-style approaches, and why they fall short.
- introduction to Ouroboros Leios: an overlay proof-of-stake protocol designed for near-optimal throughput under realistic network conditions.
- technical insights: methodology and features of Ouroboros Leios, including stake-based endorsing, pipelining, and mitigation strategies for protocol bursts and equivocation attacks.

Panagiotakos explains how Ouroboros Leios can transform low throughput protocols into high throughput ones, ensuring robust performance even against adaptive adversaries. Watch to understand how this groundbreaking protocol can enhance blockchain scalability and reliability.

Read the new paper, High-Throughput Blockchain Consensus under Realistic Network Assumptions:
https://iohk.io/en/research/library/p...

For further context and information on blockchain scaling, also check out this video from Aggelos Kiayias, chair of cybersecurity and privacy at the University of Edinburgh and chief scientist at Input Output: Scaling blockchain protocols: a resea...

☝️ This session delves into scaling blockchain protocols, which involves enhancing throughput while preserving essential properties such as dynamic participation, self-healing, resilience to faults, incentive alignment, inclusiveness, predictability, and more.

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