IMPACT FACTOR : 5.212

Cloud Infrastructure for Real-Time Personalized Ad Delivery (KEY IJW**********910)

• Arth Dave, Pramod Kumar Voola, Amit Mangal, Aayush Jain, Prof.(dr) Punit Goel, Dr S P Singh

Abstract

In the rapidly evolving digital advertising landscape, delivering personalized ads in real-time has become a critical strategy for enhancing user engagement and driv-ing business outcomes. Cloud infrastruc-ture plays a pivotal role in enabling scala-ble, efficient, and low-latency ad delivery systems. This paper explores how cloud technologies facilitate the real-time pro-cessing of vast datasets, enabling the cre-ation and distribution of personalized ads tailored to individual user behaviors and preferences. The dynamic nature of cloud platforms allows for seamless integration of machine learning models, which opti-mize ad recommendations by analyzing user interactions in real-time. Additionally, cloud-native services, such as serverless computing and distributed data storage, ensure high availability and fault toler-ance, essential for handling unpredictable traffic spikes. The paper also addresses the challenges associated with ensuring data privacy and security, considering the mas-sive volume of user data processed within cloud environments. By leveraging cloud infrastructure, businesses can achieve a scalable, cost-effective, and responsive ad delivery system that enhances user expe-rience while adhering to regulatory com-pliance. This research highlights key archi-tectural considerations for building robust cloud-based ad delivery systems that meet the demands of personalized, real-time advertising in a data-driven world.This abstract provides a high-level over-view of cloud infrastructure's role in real-time personalized ad delivery and outlines the critical factors contributing to its effectiveness and adoption