Extreme-Scale Systems are computational infrastructures designed to handle vast quantities of data and an immense number of concurrent operations. These systems are characterized by their ability to process petabytes of information and support millions of users or transactions simultaneously. They require sophisticated architectures for distributed computing, high-performance networking, and efficient data management. Their development is crucial for supporting global-scale applications and services.
Context
The challenges and advancements in Extreme-Scale Systems are central to the ongoing development of large-scale blockchain networks, decentralized storage solutions, and global financial transaction processing. Discussions often highlight the engineering hurdles related to performance, reliability, and energy consumption at such magnitudes. News reports frequently cover innovations in hardware, software, and algorithmic approaches that enable these systems.
A new consensus protocol leveraging epidemic-style communication eliminates fixed validators, achieving superior throughput and latency for extreme-scale networks.
Introduces the Blockchain Epidemic Consensus Protocol, leveraging epidemic communication for unprecedented throughput and scalability in large-scale decentralized networks.
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