AI-BASED RESOURCE ALLOCATION TECHNIQUES IN CLOUD COMPUTING: A COMPARATIVE STUDY
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Cloud computing is recognized as a vital technology for on-demand and flexible computing resources via the internet [1]. The allocation of resources is a key challenge in cloud computing because inefficient allocation of resources results in wastage of resources and poor performance of systems. The traditional approach for efficient allocation of resources is based on heuristic and rule-based algorithms. However, these approaches are not efficient in adapting dynamically to changes in workload. Recently, AI techniques are also being explored for efficient allocation of resources in cloud computing systems. This paper presents a comparative study of traditional, optimization-based, and AI-based approaches for efficient allocation of resources in cloud computing systems. The paper also presents the advantages and disadvantages of different approaches and discusses the challenges and future directions of efficient allocation of resources in cloud computing systems.
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K, D. (2026). AI-Based Resource Allocation Techniques in Cloud Computing: A Comparative Study. International Journal of Science, Strategic Management and Technology, 02(03). https://doi.org/10.55041/ijsmt.v2i3.168
K, Dharshini. "AI-Based Resource Allocation Techniques in Cloud Computing: A Comparative Study." International Journal of Science, Strategic Management and Technology, vol. 02, no. 03, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i3.168.
K, Dharshini. "AI-Based Resource Allocation Techniques in Cloud Computing: A Comparative Study." International Journal of Science, Strategic Management and Technology 02, no. 03 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i3.168.
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