Download Advanced Content Delivery, Streaming, and Cloud Services by Mukaddim Pathan PDF

By Mukaddim Pathan

As the topic region of CDN earnings learn curiosity and momentum, it will be important to stick up to date with contemporary advancements of its evolutionary song, in addition to the present panorama and roadmap. This booklet presents functionality versions, case stories, company analyses, and a number of other vital elements, so training engineers and lecturers can use the textual content as a well timed reference.

• Provides an in-depth examine Cloud-based CDNs
• Includes CDN and streaming media fundamentals and tutorials
• Aimed to educate platforms architects, practitioners, product builders, and researchers
• Material is split into introductory matters, complex content material, and expert areas

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Extra resources for Advanced Content Delivery, Streaming, and Cloud Services

Sample text

Some of these peripheral VAS offerings are the following: • On-the-fly transcoding [31,32] to encapsulate content in different formats and quality for delivery to varying edge devices. It eliminates the need for media companies to pretranscode and store multiple file formats of their entire media library in an expensive storage system. With the aid of this service within a 28 CLOUD-BASED CONTENT DELIVERY AND STREAMING CDN provider’s infrastructure, content providers can monetize not only the most popular and widely viewed video titles but also the entire video catalog, including long tail content.

There are a number of new VAS offerings that CDN providers have started to offer, which in the early days of CDNs would not have been considered as CDN services. Some of these peripheral VAS offerings are the following: • On-the-fly transcoding [31,32] to encapsulate content in different formats and quality for delivery to varying edge devices. It eliminates the need for media companies to pretranscode and store multiple file formats of their entire media library in an expensive storage system.

The partial replication of data can be obtained by exploiting a caching mechanism of the most popular queries to the data storage (content-blind caching) or by actively replicating portions of the back-end data, selected on the basis of usage patterns, network, and infrastructure status (content-aware caching) [16,17]. • User Profile Layer. It stores information on the user preferences and context. This information is accessed for dynamic content generation to provide personalized content. Replication of the user profile layer across edge servers involves technique to partition and distributes user information based on access patterns.

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