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Video streaming is growing in popularity and has become the mostbandwidth-consuming Internet service. As such, robust streaming in terms of lowlatency and uninterrupted streaming experience, particularly for viewers indistant areas, has become a challenge. The common practice to reduce latency isto pre-process multiple versions of each video and use Content DeliveryNetworks (CDN) to cache videos that are popular in a geographical area.However, with the fast-growing video repository sizes, caching video contentsin multiple versions on each CDN is becoming inefficient. Accordingly, in thispaper, we propose the architecture for Fog Delivery Networks (FDN) and providemethods to federate them (called F-FDN) to reduce video streaming latency. Inaddition to caching, FDNs have the ability to process videos in an on-demandmanner. F-FDN leverages cached contents on the neighboring FDNs to furtherreduce latency. In particular, F-FDN is equipped with methods that aim atreducing latency through probabilistically evaluating the cost benefit offetching video segments either from neighboring FDNs or by processing them.Experimental results against alternative streaming methods show that bothon-demand processing and leveraging cached video segments on neighboring FDNscan remarkably reduce streaming latency (on average 52%).

F-FDN: Federation of Fog Computing Systems for Low Latency Video Streaming