leaderw
Leaderw, short for leader weighting, is a concept in distributed computing describing a class of algorithms for electing a coordinator in a network of nodes. In leaderw schemes, each node is assigned a weight that captures factors such as processing capacity, reliability, and recent participation. The node with the highest effective weight is typically chosen as a temporary leader, with rotation or reelection triggered by events such as node failure, weight changes, or timeouts.
Operation in leaderw systems generally involves nodes broadcasting their weights or proof of weight within a
Variants of leaderw differ in how weights are assigned and updated. Static weights set once and rely
Applications of leaderw include sensor networks, edge and fog computing, microservices orchestration, and distributed databases where
See also: leader election, weighted voting, consensus algorithms.