Data communication

This study provides an evaluation of the impact of various serialization formats on inter-service communication performance, with a focus on serialization speed, space efficiency, and latency in environments integrating middleware, which are characteristics of microservice architectures. Through an empirical analysis of a wide range of serialization formats and comparison to the traditional standards, it highlights that the compactness of serialized payloads is more critical in reducing end-to-end latency than the sheer speed of serialization itself.

Distributed systems rely on efficient inter-service communication, heavily impacted by data transmission costs. This study investigates alternative serialization formats, like Avro and MessagePack, to reduce data size compared to the common JSON format. We utilize a custom model to comprehensively assess the space efficiency of serialization formats across various data types. Our findings demonstrate that adopting alternative formats achieves a median reduction in serialized data exceeding 30 %.