Elevating Digital Experiences by Enhancing Service Delivery through Revolutionary Cloud Services and Applications
This research introduces an approach named “Cloud-Driven Personalized Experience Enhancement” to satisfy the escalating demand for enhanced digital connectivity. Via cutting-edge cloud services and applications, the CPExE framework provides a groundbreaking solution for digital platforms. The framework is built upon three core components: Together with the Quantum-Inspired Data Analytics and Evaluation (QIDAE) and Personalized Content Recommendations (PRA), Dynamic Resource Allocation and Adaptation (DRAA) completes the framework. By leveraging quantum-inspired approaches, QIDAE analyzes vast datasets with outstanding effectiveness and exactness improving processes for data handling and personalization. This strategy allows for swift detection of patterns while making certain that data-driven understandings are both on time and precise. By changing cloud resources according to user requests the DRAA module guarantees uninterrupted access to computing power and data storage. By managing resources effectively in real-time it decreases latency and improves service speeds. By using complex algorithms to assess user habits and choices the PRA system boosts the digital experience. PRA uses both content-focused filtering and collaborative screening strategies to provide users with engaging content that matches their unique preferences. By applying sophisticated analytics and resource management methods with content personalization CPExE boosts the user experience and develops cloud technology efficiency. This framework signifies an important progress toward developing dynamic and tailored online environments.
Authors
- M. L. Garg (ORCID: https://orcid.org/0009-0000-0348-8361)
- S Sreekanth (ORCID: https://orcid.org/0009-0005-2563-7483)
- K. Rajkumar
- Ginni Nijhawan
- V Asha (ORCID: https://orcid.org/0009-0003-0802-7849)
- Ali Abduhussien Hameed
Institutions
- Lovely Professional University (IN)
- Aeronautical Development Agency (IN)
- Iraqi University (IQ)
Publication Details
- Published
- 2024-09-18
- DOI
- https://doi.org/10.1109/ic3i61595.2024.10828725
- Primary Topic
- IoT and Edge/Fog Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00