Abstract: Embodiments of the present invention set forth techniques for a content player to stream a media file using multiple network connections. To stream the media file, the content player downloads metadata associated with a requested media file, establishes a network connection with multiple content servers (or multiple network connections with a single content server or both) and begins requesting portions of the media file. In response, the requested portions are transmitted to the content player. The content player may employ a predictive multi-connection scheduling approach to determine which network connection to use in downloading a given chunk.

Abstract: Embodiments of the present invention set forth techniques for a content player to stream a media file using multiple network connections. To stream the media file, the content player downloads metadata associated with a requested media file, establishes a network connection with multiple content servers (or multiple network connections with a single content server or both) and begins requesting portions of the media file. In response, the requested portions are transmitted to the content player. The content player may employ a predictive multi-connection scheduling approach to determine which network connection to use in downloading a given chunk.

Abstract: Embodiments of the present invention set forth techniques for a content player to stream a media file using multiple network connections. To stream the media file, the content player downloads metadata associated with a requested media file, establishes a network connection with multiple content servers (or multiple network connections with a single content server or both) and begins requesting portions of the media file. In response, the requested portions are transmitted to the content player. The content player may employ a predictive multi-connection scheduling approach to determine which network connection to use in downloading a given chunk.

Abstract: Techniques are disclosed for generating preference rankings in response to requests for streaming media content received from client devices. The preference rankings are used to indirectly partition streaming media content across different content distribution networks (CDNs). Such partitions may be referred to as a “soft” partition, as all of the streaming media content remains available from each CDN. That is, the partitioning of content across CDNs is not absolute, and any content item may be requested from any CDN. Doing so ensures that content remains available even where the preferred CDN for a given content item fails, while at the same time increasing the probability of a cache hit at the CDNs, without increasing the cost or the actual cache sizes of the content caches of different CDNs.

Abstract: Embodiments of the present invention set forth techniques for a content player to stream a media file using multiple network connections. To stream the media file, the content player downloads metadata associated with a requested media file, establishes a network connection with multiple content servers (or multiple network connections with a single content server or both) and begins requesting portions of the media file. In response, the requested portions are transmitted to the content player. The content player may employ a predictive multi-connection scheduling approach to determine which network connection to use in downloading a given chunk.

Abstract: Embodiments of the present invention set forth techniques for a content player to stream a media file using multiple network connections. To stream the media file, the content player downloads metadata associated with a requested media file, establishes a network connection with multiple content servers (or multiple network connections with a single content server or both) and begins requesting portions of the media file. In response, the requested portions are transmitted to the content player. The content player may employ a predictive multi-connection scheduling approach to determine which network connection to use in downloading a given chunk.

Abstract: Techniques are disclosed for generating preference rankings in response to requests for streaming media content received from client devices. The preference rankings are used to indirectly partition streaming media content across different content distribution networks (CDNs). Such partitions may be referred to as a “soft” partition, as all of the streaming media content remains available from each CDN. That is, the partitioning of content across CDNs is not absolute, and any content item may be requested from any CDN. Doing so ensures that content remains available even where the preferred CDN for a given content item fails, while at the same time increasing the probability of a cache hit at the CDNs, without increasing the cost or the actual cache sizes of the content caches of different CDNs.

Abstract: Embodiments of the present invention set forth techniques for a content player to stream a media file using multiple network connections. To stream the media file, the content player downloads metadata associated with a requested media file, establishes a network connection with multiple content servers (or multiple network connections with a single content server or both) and begins requesting portions of the media file. In response, the requested portions are transmitted to the content player. The content player may employ a predictive multi-connection scheduling approach to determine which network connection to use in downloading a given chunk.

Abstract: Embodiments of the present invention set forth techniques for a content player to stream a media file using multiple network connections. To stream the media file, the content player downloads metadata associated with a requested media file, establishes a network connection with multiple content servers (or multiple network connections with a single content server or both) and begins requesting portions of the media file. In response, the requested portions are transmitted to the content player. The content player may employ a predictive multi-connection scheduling approach to determine which network connection to use in downloading a given chunk.