Enhanced Serverless Micro-Reactivity Model for High-Velocity Event Streams within Scalable Cloud-Native Architectures
DOI:
https://doi.org/10.63282/3050-922X.IJERET-V3I3P113Keywords:
Serverless Computing, Event-Driven Architecture, Micro-Reactivity, Cloud-Native Systems, High-Velocity Event Streams, Latency OptimizationAbstract
Modern cloud-native applications increasingly depend on serverless computing to process event-driven workloads at scale. The serverless paradigm promises elastic scalability, fine-grained billing, and simplified operational management. However, existing serverless platforms face persistent challenges when dealing with high-velocity event streams that impose strict latency, throughput, and prioritization requirements. Event-triggered functions frequently experience cold-start delays, limited state awareness, reactive bottlenecks, and inefficient scheduling under bursty workloads. These limitations significantly affect the quality of service (QoS) for real-time analytics, Internet of Things (IoT), financial transactions, and mission-critical streaming systems. This paper proposes an Enhanced Serverless Micro-Reactivity Model (ESMRM) designed to efficiently manage high-velocity event streams within scalable cloud-native architectures. The proposed model introduces fine-grained micro-reactive components, predictive warm-start mechanisms, adaptive event prioritization, and state-aware scheduling. Unlike traditional reactive serverless execution models, ESMRM integrates lightweight state coordination and feedback-driven orchestration to improve responsiveness and throughput under dynamic workloads. A layered architecture is presented, combining event ingestion, micro-reactive execution, adaptive scheduling, and observability-driven optimization. Mathematical formulations for latency modeling, throughput optimization, and priority-based event dispatching are introduced. Experimental evaluation demonstrates that the proposed model significantly reduces cold-start latency, improves event processing throughput, and enhances system stability under high event arrival rates. The results indicate that ESMRM provides a viable foundation for next-generation serverless platforms targeting real-time, high-velocity event processing
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