Abstract
The present disclosure provides a method and system for consensus-free probabilistic coordination of operational decisions in a distributed computing environment. A distributed node collects locally observed operational signals and updates a local belief state representing confidence that an operational action should be performed. The distributed node selects a subset of peer nodes and asynchronously exchanges belief information with the selected subset. Received peer belief information is merged with the local belief state using a bounded-influence merge function that limits an influence of an individual peer belief state. The updated belief state is evaluated against one or more configurable thresholds, and the operational action is locally executed, reverted, or suppressed based on the evaluation. The distributed node performs the operational decision without requiring leader election, quorum formation, global state synchronization, or deterministic agreement. Accordingly, coordinated operational behavior may emerge probabilistically across distributed nodes while preserving availability during partial failures, message loss, network partitions, or inconsistent observations.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
AHMED, FAIZ and SHIVHARE, SHUBHAM, "CONSENSUS FREE PROBABILISTIC COORDINATION OF DISTRIBUTED OPERATIONAL DECISIONS", Technical Disclosure Commons, ()
https://www.tdcommons.org/dpubs_series/11804