DSMiin
DSMiin is a distributed software framework intended to enable sensor-driven data fusion and machine inference across heterogeneous computing environments, from edge devices to cloud data centers. The name commonly appears in technical discussions about distributed inference pipelines and multi-source analytics. This article treats DSMiin as a conceptual framework used to illustrate approaches to scalable, privacy-aware inference rather than a single standardized product.
Architecturally, DSMiin consists of data connectors, a distributed inference engine, a model registry, and an orchestration
It emphasizes modularity, scalability, and privacy. It supports federated inference, device-to-device updates, and modular deployment via
Potential domains include industrial IoT, environmental monitoring, smart cities, and robotics. Limitations commonly discussed involve network
Development and reception: The concept has appeared in academic and industry discussions as a way to formalize