AN ENHANCED INTER-COMPONENT COMMUNICATION MODEL FOR DISTRIBUTED COMPUTING SYSTEMS

The enhanced communication model (ECM) integrates multi-baseline delta encoding, FlagBag encoding of Boolean fields, and partial deserialization in an Apache Avro-based communication pipeline. ECM and regular Avro communication (RAC) were compared in 15 paired, constructed scenarios with 100 runs per mode and scenario. Paired ECM and RAC runs used the same set of 10,000 logical messages. ECM materialized a fixed 80% of application fields, whereas RAC fully deserialized them. The mean size of the complete transmitted container decreased by 14.98–31.73% across scenarios (mean scenario reduction: 24.41%). The duration from the first send to processing the last message of the 10,000-message batch decreased by 14.86–29.30% (mean: 22.42%). Both reductions exceeded a conditional 10% target in all 15 scenarios. The byte reduction characterizes the combined FlagBag and MDE implementation; the time reduction compares complete procedures with different amounts of deserialization. The experiment does not quantify the individual contribution of each method. Per-scenario field counts, Boolean proportions, message correlation, CPU use, and memory use were not measured in the available records; the findings cannot be generalized beyond the studied conditions without further testing.