American Psychological Association 6th edition

null Hara Krishna Reddy Koppolu, null Anil Lokesh Gadi, null Shabrinath Motamary, null Abhishek Dodda, & null Sambasiva Rao Suura. (2025). Dynamic Orchestration of Data Pipelines via Agentic AI: Adaptive Resource Allocation and Workflow Optimization in Cloud-Native Analytics Platforms. Metallurgical and Materials Engineering, 31, 625-637. https://doi.org/10.63278/1490

ISO-690 (author-date, English)

NULL HARA KRISHNA REDDY KOPPOLU, NULL ANIL LOKESH GADI, NULL SHABRINATH MOTAMARY, NULL ABHISHEK DODDA und NULL SAMBASIVA RAO SUURA, 2025. Dynamic Orchestration of Data Pipelines via Agentic AI: Adaptive Resource Allocation and Workflow Optimization in Cloud-Native Analytics Platforms. Metallurgical and Materials Engineering. 16 April 2025. Vol. 31, , p. 625-637. DOI 10.63278/1490.

Modern Language Association 9th edition

null Hara Krishna Reddy Koppolu, null Anil Lokesh Gadi, null Shabrinath Motamary, null Abhishek Dodda, und null Sambasiva Rao Suura. „Dynamic Orchestration of Data Pipelines via Agentic AI: Adaptive Resource Allocation and Workflow Optimization in Cloud-Native Analytics Platforms“. Metallurgical and Materials Engineering, Bd. 31, April 2025, S. 625-37, https://doi.org/10.63278/1490.

Mohr Siebeck - Recht (Deutsch - Österreich)

null Hara Krishna Reddy Koppolu/null Anil Lokesh Gadi/null Shabrinath Motamary/null Abhishek Dodda/null Sambasiva Rao Suura: Dynamic Orchestration of Data Pipelines via Agentic AI: Adaptive Resource Allocation and Workflow Optimization in Cloud-Native Analytics Platforms, Metallurgical and Materials Engineering 2025, 625-637.

Emerald - Harvard

null Hara Krishna Reddy Koppolu, null Anil Lokesh Gadi, null Shabrinath Motamary, null Abhishek Dodda und null Sambasiva Rao Suura. (2025), „Dynamic Orchestration of Data Pipelines via Agentic AI: Adaptive Resource Allocation and Workflow Optimization in Cloud-Native Analytics Platforms“, Metallurgical and Materials Engineering, Vol. 31, S. 625-637.

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.