aggrekaani
Aggrekaani is a theoretical framework for decentralized data aggregation in large-scale distributed systems. It describes a class of architectures and algorithms designed to compute global statistics or summaries from data held by many autonomous nodes while maintaining resilience to faults and preserving user privacy.
Origins and terminology: The term aggrekaani is a neologism used in speculative and academic discussions. There
Core concepts and typical architecture: The framework envisions three layers: data collection nodes, an aggregation layer,
Applications, advantages, and challenges: Potential domains include environmental sensing, smart-city data fusion, and large-scale crowdsensing. Advantages