Abstract
Conventional data center management can involve manual workflows or static declarative systems that may not effectively adapt to real-time conflicts or complex events, potentially resulting in unpredictable deployment timelines and increased operational risk. Systems and methods are described that can utilize a multi-agent ecosystem for managing data center resources. In such a system, specialized, autonomous software agents can communicate and negotiate with one another through a medium such as an asynchronous fabric to interpret high-level declarative goals. The agents may autonomously orchestrate complex actions, resolve resource conflicts, and adapt to changing conditions. This approach can improve operational resilience and agility in large-scale infrastructure management by enabling dynamic, distributed reasoning and conflict resolution, potentially reducing reliance on pre-scripted procedural steps.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Simlai, Ananya and Cascarano, Niccolò, "Autonomous Multi-Agent System for Declarative Data Center Lifecycle Management", Technical Disclosure Commons, ()
https://www.tdcommons.org/dpubs_series/10436