Novel Architecture of Content Delivery Network Based on Big Data for Power Saving

This paper proposes an architecture of content delivery network (CDN) based on big data for power saving. There are two types of video content: hot content and cold content. When video content is accessed frequently, it is called hot content. Conversely, when video content is accessed infrequently, it is called cold content. In CDN, there is an origin server and a CDN cache server. A CDN cache server has a replicated content and provides its content to the end users nearby. Therefore, the user can receive the requested content from the closest proximity for fast content. The proposed architecture in this paper powers off the cold content server in CDN cache server when the number of cold content requests decreases. Hence, the proposed architecture for content delivery services based on power saving is expected to be useful for providing multimedia streaming services with low power consumption for content providers.

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Beyond 1 Million Nodes: A Crowdsourced Video Content Delivery Network

IEEE Multimedia ◽

10.1109/mmul.2017.3051522 ◽

2017 ◽

Vol 24 (3) ◽

pp. 54-63 ◽

Cited By ~ 2

Author(s):

Lifeng Sun ◽

Ming Ma ◽

Wen Hu ◽

Haitian Pang ◽

Zhi Wang

Keyword(s):

Content Delivery ◽

Video Content ◽

Content Delivery Network ◽

Delivery Network

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Hybrid Cache Architecture Using Big Data Analysis for Content Delivery Network

2014 IEEE Fourth International Conference on Big Data and Cloud Computing ◽

10.1109/bdcloud.2014.135 ◽

2014 ◽

Cited By ~ 2

Author(s):

Tai-Yeon Ku ◽

John D. Shin ◽

Young-Sik Chung ◽

Hoon Choi

Keyword(s):

Big Data ◽

Data Analysis ◽

Content Delivery ◽

Big Data Analysis ◽

Content Delivery Network ◽

Cache Architecture ◽

Hybrid Cache ◽

Delivery Network

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Minimizing the In-Cloud Bandwidth for On-Demand Reactive and Proactive Streaming Applications

Applied Sciences ◽

10.3390/app112311267 ◽

2021 ◽

Vol 11 (23) ◽

pp. 11267

Author(s):

Achraf Gazdar ◽

Lotfi Hidri ◽

Belgacem Ben Ben Youssef ◽

Meriam Kefi

Keyword(s):

Virtual Machines ◽

Content Delivery ◽

The Internet ◽

Video Content ◽

Content Delivery Network ◽

Streaming Applications ◽

Network Bandwidth ◽

Client Request ◽

Streaming Services ◽

Second Category

Video streaming services are one of the most resource-consuming applications on the Internet. Thus, minimizing the consumed resources at runtime in general and the server/network bandwidth in particular are still challenging for researchers. Currently, most streaming techniques used on the Internet open one stream per client request, which makes the consumed bandwidth increases linearly. Hence, many broadcasting/streaming protocols have been proposed in the literature to minimize the streaming bandwidth. These protocols can be divided into two main categories, namely, reactive and proactive broadcasting protocols. While the first category is recommended for streaming unpopular videos, the second category is recommended for streaming popular videos. In this context, in this paper we propose an enhanced version of the reactive protocol Slotted Stream Tapping (SST) called Share All SST (SASST), which we prove to further reduce the streaming bandwidth with regard to SST. We also propose a new proactive protocol named the New Optimal Proactive Protocol (NOPP) based on an optimal scheduling of video segments on streaming-channel. SASST and NOPP are to be used in cloud and CDN (content delivery network) networks where the IP multicast or multicast HTTP on QUIC could be enabled, as their key principle is to allow the sharing of ongoing streams among clients requesting the same video content. Thus, clients and servers are often services running on virtual machines or in containers belonging to the same cloud or CDN infrastructure.

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