This prefetch ensures that the content stays one chunk ahead of the user, which reduces latency. The CDN then prefetches the next chunk in parallel. After the CDN POP server receives a full or byte-ranges file request, the CDN edge server requests the file from the origin in chunks of 8 MB.Īfter the chunk arrives at the CDN edge, it's cached and immediately served to the user. When a large file is requested, the CDN retrieves smaller pieces of the file from the origin. Object chunkingĪzure CDN Standard from Microsoft uses a technique called object chunking. Extra features are turned on by default to make delivery of large files faster. Optimize for delivery of large files with Azure CDN from MicrosoftĪzure CDN Standard from Microsoft endpoints deliver large files without a cap on file size. Efficient distribution also reduces the memory and I/O pressure on the origin server. Efficient distribution of the requested portions reduces the egress traffic from the origin server. Therefore, software and media delivery companies want to deliver only the portion of a file that's requested. Users might cancel a download halfway through or watch only the first few minutes of a long MP4 video. Third, many large files aren't delivered in their entirety. The reduction in quality caused by limited throughput and increased packet loss might increase the wait time for a file download to finish. Greater distances between servers and users create more opportunities for packet loss to occur, which reduces quality. In addition, network congestion and capacity problems also affect throughput. Second, the latency between a user's machine and the file determines the speed at which they can view content. The download also might be delayed until after the content delivery network (CDN) retrieves the entire file from the origin server. When only a small amount of a file is requested or a user pauses a download, the download can fail. ![]() In some cases, applications might download the last part of a file before the first part. First, the average time to download a large file can be significant because applications might not download all data sequentially. A fast and efficient delivery mechanism for large files is critical to ensure a smooth and enjoyable consumer experience.ĭelivery of large files has several challenges. This growth gets driven by many factors: broadband penetration, larger inexpensive storage devices, widespread increase of high-definition video, and internet-connected devices (IoT). File sizes of content delivered over the internet continue to grow due to enhanced functionality, improved graphics, and rich media content.
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