A Cross-Platform Performance Optimization Framework for Distributed Web and Mobile Application Ecosystems

Chris Pauliks

doi:10.15662/IJRAI.2019.0201003

Authors

Chris Pauliks Independent Researcher, Arizona, USA Author

DOI:

https://doi.org/10.15662/IJRAI.2019.0201003

Keywords:

Cross-Platform Optimization, Unified Data Aggregation, Graph-Based Querying, Adaptive Data Serialization, Time-to-Interactive, Distributed Microservices, Resource Hint Synchronization

Abstract

Modern digital ecosystems are characterized by distributed back-ends (microservices) and heterogeneous clients (native mobile, mobile web, desktop web). Achieving consistent, optimal performance across this distributed landscape is severely hampered by redundant data fetching, platform-specific serialization bottlenecks, and varying network constraints. This paper proposes the Cross-Platform Performance Optimization Framework (CPOF), a unified architectural model designed to centralize and optimize data delivery and resource management regardless of the client or platform. CPOF introduces a Unified Data Aggregation and Transformation Layer (UDAT), which employs Graph-based Querying (GQ) and Adaptive Data Serialization (ADS) to tailor data payloads precisely to client needs. Furthermore, the framework integrates Resource Hint Synchronization (RHS) to coordinate prefetching strategies across native and web contexts. The empirical evaluation, conducted on a simulated banking application, demonstrates that CPOF achieves a $55\%$ reduction in API data transfer volume and a $30\%$ improvement in Time-to-Interactive (TTI) for both low-end mobile web and native clients compared to a traditional REST-based microservice architecture. CPOF establishes a critical blueprint for managing and guaranteeing superior performance across complex, multi-platform applications.

References

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