Dr. Ganesh Bhondve, Prof. Prashant Malwatkar, Prof. Prasad Shaha
Abstract: The exponential growth of data-intensive applications ranging from Generative AI to Big Data analytics has led to a surge in the energy consumption of cloud data centers. In 2026, data centers are projected to account for approximately 3.5% of global electricity usage, necessitating a shift toward "Green Cloud Computing." Traditional resource allocation methods often rely on static thresholds or manual scaling, which frequently lead to either over-provisioning (wasting energy) or under-provisioning (violating Service Level Agreements - SLAs).
Dr. Ganesh Bhondve, Prof. Prashant Malwatkar, Prof. Prasad Shaha (2026);
An Intelligent Framework for Energy-Efficient Resource Allocation in Cloud Data Centres Using Deep Reinforcement Learning;
International Journal of Scientific and Research Publications (IJSRP)
16(2) (ISSN: 2250-3153),
DOI: http://dx.doi.org/10.29322/IJSRP.16.02.2026.p17039