EPtoGP
EPtoGP is a conceptual framework used to describe the mapping between event-driven processing (EP) systems and general-purpose (GP) computing environments. It specifies a translation pathway that converts event streams, state changes, and commands produced by an EP engine into representations that can be executed within a GP runtime or workflow engine, while preserving essential semantics such as ordering, causality, and idempotence.
Origin and scope: The term appears in software architecture discussions focusing on interoperability between specialized event-processing
Architecture: A typical EPtoGP architecture includes an event processing core, a transformation or normalization layer, GP
Process: In operation, events are ingested by the EP core, enriched and normalized, then translated into GP
Applications and benefits: EPtoGP is applicable in IoT, streaming analytics, real-time risk monitoring, and automated workflows.
Limitations and challenges: Semantic gaps between EP and GP paradigms, increased latency, debugging complexity, and the
See also: Event-driven architecture, Complex event processing, Data transformation, Middleware, Service-oriented architecture.