Principles of Building Event-Driven Architectures for Logistics Process Management
Abstract: The article explores how to design event-driven architectures (EDAs) for logistics process management that can integrate heterogeneous IoT/IT signals into a governed event fabric, detect operational meaning via complex event processing (CEP), and preserve trust through selective, integrity-protected logging of "high-value" events rather than raw sensor chatter. This article draws on both hands-on implementation experience and performance-related lessons from CEP research, especially around how to handle complex queries using time and space indexing. The core outcome is a set of practical design principles, centered on a two-layer architecture. Drawing on implementation experience and recent CEP performance research, the article formulates a set of design principles for scalable and trustworthy logistics EDAs. The proposed two-layer architecture separates low-latency event handling from integrity-focused logging, enabling both real-time responsiveness and auditability. The contribution lies in translating CEP, blockchain, and event-time semantics into actionable architectural guidance for logistics process management.
Keywords: event-driven architecture (EDA), complex event processing (CEP), low-code integration (Node-RED), world state database (CouchDB), Hierarchical Temporal Indexing (HTI)
How to Cite?: Dhaval Shah, "Principles of Building Event-Driven Architectures for Logistics Process Management", Volume 15 Issue 4, April 2026, International Journal of Science and Research (IJSR), Pages: 177-181, https://www.ijsr.net/getabstract.php?paperid=SR26327135216, DOI: https://dx.doi.org/10.21275/SR26327135216