This review shows how Go’s concurrency model improves latency in edge computing for IoT systems, suggesting better performance.
Edge computing pushes computation closer to datasources to reduce latency, preserve bandwidth, andenhance privacy in Internet of Things (IoT)deployments. Go (Golang) provides lightweightconcurrency via goroutines and channels, plus amodern scheduler a nd concurrent garbage collector.This review synthesizes how Go’s concurrency modelmaps to soft real time constraints typical at the edge.We summarize definitions and requirements fromstandards (e.g., NIST, ETSI MEC), explain the Goruntime (asynchronou s preemption, memory model,GC), and curate patterns for streaming pipelines,backpressure, and resilience. We examine protocolchoices (MQTT, CoAP) and edge to cloud bridges(gRPC/NATS), survey embedded options (TinyGo,periph.io, Gobot), and outline obse rvability and tuning(pprof, runtime/trace, PGO). Analytical modeling andexperience reports indicate that careful designbounded queues, reduced allocations, and contexttimeouts achieves predictable soft real time behavior.We conclude with open challeng es (determinism, safetycases, eBPF fast paths, io_uring integration) and aresearch agenda for Go at the edge.
No takes yet. Share an insight, caveat, or question.
Mrs.Vrunda Piyush Chouthkanthiwar (2025) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: