Hierarchical optimized resource utilization for cloud content delivery networks

Abstract

Content Delivery Networks (CDNs) have grown in popularity as a result of the ongoing development of the Internet and its applications. The workload on streaming media service systems can be significantly decreased with the help of the cooperative edge-cloud computing architecture. In traditional works, different types of content placement and routing algorithms are developed for improving the content delivery of cloud systems with reduced delay and cost. The majority of existing algorithms are facing complexities in terms of increased resource usage, ineffective delivery, and high system design complexity. Therefore, the proposed work aims to develop a new framework, named as Hierarchical Optimized Resource Utilization based Content Placement (HORCP) model for cloud CDN. Here, the Chaotic Krill Herd Optimization (CKHO) method is used to optimize the resource usage for content placement. Then, a Hierarchical Probability Routing (HPR) model is employed to enable dependable end-to end data transmission with an optimized routing path. The performance of the proposed HORCP model is validated and compared by using several performance metrics. The obtained results are also compared with current state-of-the-art methodologies in order to show the superiority of the proposed HORCP model. newline