networksshape

Networksshape is a conceptual framework for representing computer networks as geometric shapes that encode both topology and resource allocation. It treats network elements as spatial objects, allowing planners to visualize how physical layout, routing decisions, and service placement influence performance, fault domains, and scalability.

Its core model maps network nodes to coordinates in a geometry space and represents links as connections with attributes such as bandwidth, latency, and loss. Each node can carry a shape that indicates its role, capacity, and policy constraints, while subnets or domains may be represented by larger enclosing shapes.

The framework relies on a data schema that supports node and link properties, coordinates, and shapes, with export formats such as JSON, GraphML, or GeoJSON for compatibility with visualization tools and simulators. It emphasizes interoperability with existing network design tools and simulation environments.

Typical applications include data center layout optimization, campus or metro area network planning, and disaster recovery modeling. Networksshape supports scenario comparison, impact assessment of topology changes, and visualization of QoS or security boundaries in a single view.

Critics note that geometric representations can oversimplify dynamic network behavior and traffic patterns. Proponents view networksshape as a complementary tool that enhances planning, visualization, and initial design decisions when used alongside traditional metrics.