  The demand for high-quality video streaming has propelled the evolution of
adaptive streaming systems. Efficient resource allocation is paramount to
ensuring optimal viewer experience, considering dynamic factors such as server
load, network bandwidth, and viewer demand. This review paper investigates the
application of fuzzy logic to enhance resource allocation in adaptive video
streaming. Fuzzy logic, known for its adaptability in uncertain environments,
offers a promising approach to address the complexities of resource
optimization. We delve into the integration of fuzzy logic in resource
allocation models, considering key parameters like server load, network
bandwidth, and viewer demand. The paper provides a comprehensive examination of
the benefits, challenges, and limitations associated with fuzzy logic-based
resource allocation, supported by case studies illustrating successful
implementations. Evaluation metrics are discussed to gauge the performance of
this approach in comparison to traditional methods. The review concludes with
insights into future directions, offering a roadmap for further advancements in
the field of adaptive video streaming. "Optimizing Adaptive Video Streaming: A
Fuzzy Logic Approach to Resource Allocation" aims to contribute to the ongoing
discourse on intelligent resource management for enhanced video streaming
quality and user satisfaction.
