Quadratic Complexity describes a characteristic of an algorithm or system where its resource requirements, such as computation time or memory usage, increase proportionally to the square of the input size. This scaling behavior indicates that performance degrades significantly as the amount of data or operations grows. It often presents a challenge for large-scale systems.
Context
Mitigating quadratic complexity is a design priority for scalable blockchain protocols, particularly in consensus mechanisms and data processing. Researchers continually seek solutions to reduce computational overhead to linear or sub-linear scaling for broader adoption.
JUMBO introduces Quorum Certificate aggregation and dispersal to reduce aBFT authenticator complexity, unlocking consensus scalability for hundreds of nodes.
The STRONG protocol resolves the quadratic communication cost of Byzantine Agreement by achieving adaptive word complexity, making consensus practically viable for large-scale distributed systems.
SQuad introduces RareSync, a novel view synchronization primitive that reduces partially synchronous BFT communication complexity to the theoretical quadratic minimum.
We use cookies to personalize content and marketing, and to analyze our traffic. This helps us maintain the quality of our free resources. manage your preferences below.
Detailed Cookie Preferences
This helps support our free resources through personalized marketing efforts and promotions.
Analytics cookies help us understand how visitors interact with our website, improving user experience and website performance.
Personalization cookies enable us to customize the content and features of our site based on your interactions, offering a more tailored experience.
