Linear throughput scaling refers to a system’s ability to increase its transaction processing capacity proportionally with the addition of new resources, such as nodes or processing units. In a system with linear scaling, doubling the resources ideally doubles the number of operations it can handle per unit of time. This property is highly desirable for distributed systems, including blockchains, as it indicates efficient resource utilization and strong growth potential. Achieving this scaling characteristic is a significant engineering challenge.
Context
Achieving linear throughput scaling is a primary objective for many blockchain protocols aiming to support widespread adoption and high transaction volumes. Traditional blockchain designs often face limitations in this area due to the overhead of global consensus. Layer-2 solutions and sharding techniques are approaches designed to enable more linear scaling by distributing computational load. The pursuit of greater scalability directly influences the viability of blockchain applications for mainstream use cases.
The Hamster protocol uses coding techniques to reduce Byzantine Fault Tolerance communication to near-optimal O(mn), unlocking linear throughput scaling.
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