Intelligent resource management at the network edge using content delivery networks

Abbasi, Mahdi; Khosravi, Mohammad R.; Ramezani, Afsaneh

doi:10.1080/17517575.2022.2037159

Cited by 2 publications

(1 citation statement)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As an overlay network running on the whole Internet, Content Delivery Networks (CDN) is a new way of network construction [15]. Its main mechanism is to push the data sent by the server to each edge server through intelligent strategy, so that the server closes to the user and with corresponding processing capacity can process the user's data request, which not only shortens the time for the user to wait for the data return, but also greatly reduces the pressure of the backbone network, realizes the dispersion of network load, and improves the speed and hit ratio of the server in response to the user's request [16]. Through the technical level, it can eliminate various problems caused by insufficient network bandwidth resources, user request overload and disordered node distribution.…”

Section: Introductionmentioning

confidence: 99%

Strategy for improving the football teaching quality by AI and metaverse-empowered in mobile internet environment

Cui²,

Jiang³

2022

Wireless Netw

View full text Add to dashboard Cite

Section: Introductionmentioning

confidence: 99%

Strategy for improving the football teaching quality by AI and metaverse-empowered in mobile internet environment

Cui²,

Jiang³

2022

Wireless Netw

View full text Add to dashboard Cite

A Hierarchical Optimized Resource Utilization based Content Placement (HORCP) model for cloud Content Delivery Networks (CDNs)

Sasikumar,

Jayarin,

Vinnarasi

2023

J Cloud Comp

View full text Add to dashboard Cite

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 the traditional works, a different types of content placement and routing algorithms are developed for improving the content delivery of cloud systems with reduced delay and cost. But, the majority of existing algorithms facing complexities in terms of increased resource usage, ineffective delivery, and high system designing complexity. Therefore, the proposed work aims to develop a new framework, named as, Hierarchical Optimized Resource Utilization based Content Placement (HORCP) model for cloud CDNs. 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 a 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. By using the HORCP mechanism, the overall memory usage of the network is reduced to 80%, CPU usage is reduced to 20%, response is minimized to 2 s, and total congestion cost with respect to the network load level is reduced to 100.

show abstract

Intelligent resource management at the network edge using content delivery networks

Cited by 2 publications

References 42 publications

Strategy for improving the football teaching quality by AI and metaverse-empowered in mobile internet environment

Strategy for improving the football teaching quality by AI and metaverse-empowered in mobile internet environment

A Hierarchical Optimized Resource Utilization based Content Placement (HORCP) model for cloud Content Delivery Networks (CDNs)

Contact Info

Product

Resources

About