TY - GEN
T1 - Enabling Multi-Hop ISP-Hypergiant Collaboration
AU - Munteanu, Cristian
AU - Gasser, Oliver
AU - Poese, Ingmar
AU - Smaragdakis, Georgios
AU - Feldmann, Anja
PY - 2023
Y1 - 2023
N2 - Today, there is an increasing number of peering agreements between Hypergiants and networks that benefit millions of end-user. However, the majority of Autonomous Systems do not currently enjoy the benefit of interconnecting directly with Hypergiants to optimally select the path for delivering Hypergiant traffic to their users. In this paper, we develop and evaluate an architecture that can help this long tail of networks. With our proposed architecture, a network establishes an out-of-band communication channel with Hypergiants that can be two or more AS hops away and, optionally, with the transit provider. This channel enables the exchange of network information to better assign requests of end-users to appropriate Hypergiant servers. Our analysis using operational data shows that our architecture can optimize, on average, 15% of Hypergiants’ traffic and 11% of the overall traffic of networks that do not interconnect with Hypergiants. The gains are even higher during peak hours when available capacity can be scarce, up to 46% for some Hypergiants.
AB - Today, there is an increasing number of peering agreements between Hypergiants and networks that benefit millions of end-user. However, the majority of Autonomous Systems do not currently enjoy the benefit of interconnecting directly with Hypergiants to optimally select the path for delivering Hypergiant traffic to their users. In this paper, we develop and evaluate an architecture that can help this long tail of networks. With our proposed architecture, a network establishes an out-of-band communication channel with Hypergiants that can be two or more AS hops away and, optionally, with the transit provider. This channel enables the exchange of network information to better assign requests of end-users to appropriate Hypergiant servers. Our analysis using operational data shows that our architecture can optimize, on average, 15% of Hypergiants’ traffic and 11% of the overall traffic of networks that do not interconnect with Hypergiants. The gains are even higher during peak hours when available capacity can be scarce, up to 46% for some Hypergiants.
KW - Content Delivery
KW - Traffic Optimization
KW - Internet Architecture
UR - http://www.scopus.com/inward/record.url?scp=85170823024&partnerID=8YFLogxK
U2 - 10.1145/3606464.3606487
DO - 10.1145/3606464.3606487
M3 - Conference contribution
SN - 9798400702747
T3 - ANRW '23
SP - 54
EP - 59
BT - Proceedings of the Applied Networking Research Workshop
PB - Association for Computing Machinery (ACM)
CY - New York, NY, USA
T2 - 2023 Applied Networking Research Workshop
Y2 - 24 July 2023 through 24 July 2023
ER -