Effective peering for multi-provider content delivery services

• Published in: IEEE INFOCOM 2004 Vol. 2; pp. 850 - 861 vol.2
• Main Authors: Amini, L., Shaikh, A., Schulzrinne, H.
• Format: Conference Proceeding
• Language: English
• Published: Piscataway, New Jersey IEEE 2004
• Subjects: Algorithm design and analysis; Analytical models; Applied sciences; Computational modeling; Computer networks; Costs; Distributed computing; Exact sciences and technology; Network servers; Peer to peer computing; Surges; System analysis and design; Systems, networks and services of telecommunications; Telecommunications; Telecommunications and information theory; Teletraffic; Transmission and modulation (techniques and equipments); Cost minimization; Network servers; Pricing; Electrical transients; Teletraffic; Delay time; Information delivery; Web site; Algorithm; Content analysis
• ISBN: 0780383559; 9780780383555
• ISSN: 0743-166X; 2641-9874
• DOI: 10.1109/INFCOM.2004.1356973

Peering allows service providers to handle traffic surges without over-provisioning, reduce the cost of dedicated infrastructure, and leverage the specialization and prices of partner providers. We develop a peering system for multi-provider content delivery based on a cost-optimized peer selection algorithm. We formulate a cost model for evaluating competing peering strategies, and use measurement data collected from globally distributed network probe stations, large-scale Web sites, and existing service provider infrastructures to empirically evaluate proposed peering strategies. Our analysis shows that our peer selection algorithm is significantly more efficient than greedy alternatives, in terms of minimizing service cost and respecting network delay and server capacity thresholds, over a broad range of real-world scenarios.