International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | Intelligent Resource Allocation Optimization Algorithms for Cloud Computing using Deep Learning Models |
|---|---|
| ABSTRACT | The demand for high-performance cloud services and effective resource utilization has greatly increased due to the quick expansion of cloud-based applications. Maintaining performance and Quality of Service (QoS) under dynamic and heterogeneous workloads is a significant challenge for traditional resource allocation mechanisms. Adaptive and intelligent resource scheduling techniques are crucial to overcoming these constraints. Recently, deep learning (DL), a well-known branch of artificial intelligence (AI), has become a useful tool for creating intelligent cloud resource management systems. A thorough analysis of DL-based scheduling and resource allocation strategies for cloud computing is presented in this paper. It starts with a summary of the principles of cloud scheduling and how they contribute to dependable service delivery. After that, the study examines current developments in DL-based scheduling, emphasizing model architectures, design approaches, optimization strategies, and practical uses. A comparative study of well-known deep learning algorithms is presented, assessing their robustness, accuracy, scalability, and responsiveness. Lastly, new research avenues are explored to improve future cloud resource management systems, such as the integration of Reinforcement Learning and Transfer Learning. |
| AUTHOR | G RAMA KRISHNA, SIVANEASAN BALA KRISHNAN, REDDI KIRAN KUMAR, PRASUN CHAKRABARTI Department of Computer Science and Engineering, Post-Doctoral Research Scholar, Singapore Institute of Technology, Singapore, Aditya Institute of Technology and Mangement, Tekkali, India Singapore Institute of Technology, Singapore, Aditya Institute of Technology and Mangement, Tekkali, India Department of Computer Science, Krishna University, Machilipatnam, India Department of Computer Science and Engineering, Sir Padampat Singhania University, Udaipur, Rajasthan, India |
| VOLUME | 183 |
| DOI | DOI: 10.15680/IJIRCCE.2026.1404060 |
| pdf/60_Intelligent Resource Allocation Optimization Algorithms for Cloud Computing using Deep Learning Models.pdf | |
| KEYWORDS | |
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