URL: https://doi.org/10.1145/3143361.3143366
Bibtex Entry:
@inproceedings{2017-Mukerjee-conext, author = “Mukerjee, Matthew K. and Bozkurt, Ilker Nadi and Ray, Devdeep and Maggs, Bruce M. and Seshan, Srinivasan and Zhang, Hui”, title = “Redesigning CDN-Broker Interactions for Improved Content Delivery”, year = “2017”, month = “November”, isbn = “9781450354226”, publisher = “Association for Computing Machinery”, address = “New York, NY, USA”, url = “https://doi.org/10.1145/3143361.3143366”, doi = “10.1145/3143361.3143366”, abstract = “Various trends are reshaping Internet video delivery: exponential growth in video traffic, rising expectations of high video quality of experience (QoE), and the proliferation of varied content delivery network (CDN) deployments (e.g., cloud computing-based, content provider-owned datacenters, and ISP-owned CDNs). More fundamentally though, content providers are shifting delivery from a single CDN to multiple CDNs, through the use of a content broker. Brokers have been shown to invalidate many traditional delivery assumptions (e.g., shifting traffic invalidates short- and long-term traffic prediction) by not communicating their decisions with CDNs. In this work, we analyze these problems using data from a CDN and a broker. We examine the design space of potential solutions, finding that a marketplace design (inspired by advertising exchanges) potentially provides interesting tradeoffs. A marketplace allows all CDNs to profit on video delivery through fine-grained pricing and optimization, where CDNs learn risk-adverse bidding strategies to aid in traffic prediction. We implement a marketplace-based system (which we dub Video Delivery eXchange or VDX) in CDN and broker data-driven simulation, finding significant improvements in cost and data-path distance.”, booktitle = “ACM Conference on Emerging Networking EXperiments and Technologies (CoNEXT)”, pages = “68–80”, numpages = “13”, keywords = “content brokers, interfaces, CDNs, content delivery”, location = “Incheon, Republic of Korea”, award = “Best Paper Award”, category = “Web/Video”, series = “CoNEXT ‘17” }