Usage of Incremental Provider-aided Distance Information System to Improve User Assignment from a Performance Perspective for Content-Delivery Networks (CDNs)

This paper looks at Content-delivery networks (CDNs) originate a large fraction of Internet traffic; yet, due to how CDNs often perform traffic optimization, users aren't always assigned to the best servers for end-user performance and, in particular, suggests Provider-aided Distance Information System (PaDIS), which is a mechanism to rank client-host pairs based upon information such as RTT, bandwidth or number of hops. Headline figure, 70% of http traffic from a major European ISP can be accessed via multiple different locations. “Hyper giants” are defined as the large content providers such as google, yahoo and CDN providers which effectively build their own network and have content in multiple places. Quote: “more than half of the total traffic, including the dominant HTTP traffic, can be delivered in principle from multiple servers at diverse network locations based on observations from passive packet-level monitoring” also “there is choice between at least two subnets over 40% of the time”. To improve user assignment of CDNs, we propose and deploy the Provider-aided Distance Information System (PaDIS), which lets ISPs augment the CDN server by utilizing their unique knowledge about network conditions and user locations. Field tests show that using PaDIS can result in significant improvements in download time. Our field test results show that significant improvements in download time up to a factor of four for content offered by popular CDNs can be achieved when utilizing PaDIS. This paper discusses on the usage of PADIS architecture. KeywordsUsage of PADIS, Internet traffic, Traffic optimization, ISP,HTTP,clent/server, local and wide-area networks, Internet network architecture, server selection, DNS.