Fogbased

Fogbased is a term used to describe computing architectures and systems that follow fog computing principles. It denotes a design in which data processing, storage, and networking functions are distributed across a continuum from edge devices to centralized cloud services, rather than being performed exclusively in the cloud or solely on local devices. The concept has gained prominence as a way to address latency, bandwidth, and context awareness requirements in distributed Internet of Things deployments.

Key components of a fogbased system include fog nodes, which can be edge devices, gateways, or routers with computational capability; a cloud backend that provides long-term storage and heavier processing; and a management or orchestration layer that coordinates tasks, data flows, and security policies. Data may be analyzed locally at fog nodes, with summarized results sent to the cloud, while raw data can be retained at the edge to meet privacy or bandwidth constraints.

Benefits of fogbased architectures include lower latency for real-time tasks, reduced bandwidth usage by filtering and aggregating data near the source, improved resilience to network outages, and better context awareness through proximity to data sources. They can also support scalable deployments in environments with intermittent connectivity.

Common application domains are industrial automation, smart cities, smart grids, environmental monitoring, autonomous or semi-autonomous vehicles, and healthcare monitoring. Adoption challenges include managing heterogeneous hardware and software, ensuring interoperability across vendors, securing distributed nodes, and implementing consistent data governance and privacy controls.

While not a universally standardized term, fogbased describes a practical approach to extending cloud capabilities toward the network edge to meet performance and operational goals in distributed systems.