Work

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

Year: 2025

Type: article

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).

Source: International Journal of Leading Research Publication.

DOI: 10.70528/ijlrp.v6.i9.1714

Author: Pradeep Kumar -

Institution: Systems, Applications & Products in Data Processing (United States)

Language: English

Topic: Software System Performance and Reliability

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: hybrid

OpenAlex ID: W4415147927