prosesstype

Prosesstype is a conceptual label used in process-oriented computing to classify processes by their fundamental execution semantics and interaction patterns. The term is used in both academic research and industry practice to help engineers and architects select appropriate architectures, runtimes, and resource strategies for different workloads.

Prosesstype categories are defined along several dimensions: data consumption mode (batch versus streaming), interaction mode (interactive versus non-interactive), timing constraints (real-time versus delayed processing), and transactional guarantees (strong ACID-like versus eventual consistency). A batch prosesstype concentrates work into periodic, offline runs on stored data; a streaming prosesstype processes data continuously as it arrives; an interactive prosesstype involves user-driven workflows that respond to inputs in short timeframes; a real-time prosesstype enforces bounded latency.

The practical purpose of classifying processes by prosesstype is to inform scheduling policies, fault-tolerance approaches, and scalability decisions within workflow engines, data pipelines, and orchestration systems. The concept is not standardized across domains, and definitions may vary between industries or platforms. Some frameworks formalize prosesstype as part of a metamodel for execution semantics, while others use informal taxonomies embedded in architecture guidelines.

See also: process type, workflow, BPMN, dataflow, streaming analytics.