Authors : Koffka Khan

Volume/Issue : Volume 8 - 2023, Issue 7 - July

Google Scholar : https://bit.ly/3TmGbDi

Scribd : https://tinyurl.com/53ju68dc

DOI : https://doi.org/10.5281/zenodo.8186004

Abstract : Dynamic Adaptive Streaming over HTTP (DASH) has revolutionized the delivery of video content over the Internet, allowing for flexible adaptation to varying network conditions. In recent years, researchers have explored the integration of swarm intelligence techniques into DASH to improve its performance and address existing limitations. This systematic review aims to provide a comprehensive overview of the state-of-the- art in Collaborative Swarm Intelligence Dynamic Adaptive Streaming over HTTP (CSI-DASH). By leveraging the collective intelligence of a swarm, CSI- DASH approaches enable collaborative decision-making and resource allocation in video streaming systems. This review systematically searches and analyzes relevant literature to identify the key components and techniques employed in CSI-DASH systems. It investigates various aspects, including swarm formation, task allocation, adaptive bitrate selection, and quality of experience evaluation. The findings reveal that CSI-DASH systems offer several advantages over traditional DASH approaches. The collaborative nature of swarm intelligence enables dynamic adaptation to changing network conditions, resulting in improved video quality, reduced buffering, and enhanced user experiences. Furthermore, swarm-based algorithms facilitate efficient resource allocation, load balancing, and fault tolerance in large-scale streaming scenarios. However, this review also identifies several challenges and open research directions in CSI-DASH. These include swarm initialization, synchronization, scalability, and the need for robust mechanisms to handle dynamic network conditions and varying user preferences. Additionally, the evaluation of CSI-DASH systems presents unique challenges due to the complex nature of swarm-based decision-making. Overall, this systematic review contributes to the existing literature by consolidating the current knowledge and highlighting the potential of Collaborative Swarm Intelligence Dynamic Adaptive Streaming over HTTP. It serves as a valuable resource for researchers, practitioners, and industry professionals interested in understanding and further advancing the capabilities of swarm intelligence in optimizing video streaming over HTTP.

Keywords : Dynamic Adaptive Streaming over HTTP (DASH), swarm intelligence, collaborative decision-making, resource allocation, adaptive bitrate selection, quality of experience, systematic review.