From Speed to Sustainability: AI-Driven Performance Optimization  and Its Energy Impact in Enterprise Applications

Author(s)	Pradeep Kumar
Country	India
Abstract	The rising complexity and scale of enterprise applications in the Age of AI demand a shift from purely speed-focused optimization toward a balanced approach that also prioritizes energy efficiency. This paper investigates how AI-driven performance engineering can simultaneously achieve high throughput, low latency, and reduced energy consumption in multi-tenant cloud architectures such as Java/J2EE-based systems deployed on Apache Tomcat, fronted by NGINX, powered by SAP HANA DB, and integrated with Databricks and API gateways (Apigee).
Keywords	AI, Energy Impact, Performance Optimization, Multitenancy, Cloud, SAP SuccessFactors
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 6, Issue 9, September 2025
Published On	2025-09-30
DOI	https://doi.org/10.70528/IJLRP.v6.i9.1714
Short DOI	https://doi.org/g96trb

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