Cloud-Side Transactional Orchestration Framework for Resource-Constrained Embedded Systems

2026-09-17

AI Summary

论文提出了一种针对资源受限嵌入式系统的云端事务编排框架，通过迁移状态机和微服务编排到云端，并采用双握手协议，减少了客户端开销并提高了交易性能。

Abstract

As digital commerce ecosystems expand into low-end consumer electronics (CE), hardware constraints-specifically limited CPU duty cycles and volatile heap fragmentation-become significant bottlenecks for complex transactional flows. Traditional on-device middleware requires high "network chattiness" to manage multi-step state machines, leading to increased latency and potential transaction failure on unstable residential networks. This paper proposes a novel Transactional Backend-for-Front-End (T-BFF) Orchestration Framework designed for resource-constrained embedded platforms. By migrating the transactional state machine and microservice orchestration to a cloud-side layer, we achieve a significant reduction in client-side overhead. Our framework introduces a "Double-Handshake" protocol utilizing non-volatile flash memory for state recovery after hardware reboots. Experimental results on an ARM Cortex-A53 platform demonstrate a 35% reduction in maximum heap usage and a 40% improvement in end-to-end transaction latency. This framework provides a scalable, sustainable blueprint for maintaining transactional integrity on legacy hardware in the 2026 IoT landscape.

Problem

• Resource-Constrained
• Embedded Systems
• Transactional Flows
• Network Chattiness
• Heap Fragmentation

Innovation

• Transactional Backend-for-Front-End (T-BFF)
• Double-Handshake Protocol
• Non-volatile Flash Memory
• Resource-Constrained Embedded Systems