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Multi-Agent Stateless Orchestration for Distributed Data Pipelines Implementation
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DOI：10.1007/978-3-032-09555-8_9.png)
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Abstract
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This paper introduces a stateless orchestration architecture and mechanism for managing distributed data pipelines in multi-agent systems. Workflows are decomposed into independent subworkflows by a splitting module. A caching mechanism preserves execution context without relying on local state, supporting true statelessness. Communication is event-driven via Apache Kafka, and a unified data model ensures consistent interaction among components. The architecture is validated on a Kubernetes environment, showing scaling and low-latency features. This approach combines the control of orchestration with the scalability of event-driven systems, offering a robust solution for modular workflow execution.
Keywords:
Stateless Orchestration
Multi-Agent Systems
Asynchronous Communication
Distributed Architecture
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