encoding

Beyond JSON: Evaluating Serialization Formats for Space-Efficient Communication

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 %.

Program model of Reed-Solomon codes

Software is designed for modeling of Reed-Solomon codes on a base of object-oriented technology. Input data for system are blocks of bytes for transmitting through communication channel, where errors can occur in the blocks. Designed program realizes codes of (255,239) and (255,223) type for finite field GF(28) with standard generating polynomials x8+x4+x3+x2+1 and x8+x7+x2+x+1. Moreover, a possibility is provided to add other types of codes and generating polynomials.