TY - GEN
T1 - An empirical study on the interactions between ALTO-assisted P2P overlays and ISP networks
AU - Wang, Chaojiong
AU - Wang, Ning
AU - Howarth, Michael
AU - Pavlou, George
PY - 2011
Y1 - 2011
N2 - The recently proposed Application Layer Traffic Optimization (ALTO) framework has opened up a new dimension for Internet traffic management that is complementary to the traditional application-agnostic traffic engineering (AATE) solutions currently employed by ISPs. In this paper, we investigate how ALTO-assisted Peer-to-Peer (P2P) traffic management functions interact with the underlying AATE operations, given that there may exist different application-layer policies in the P2P overlay. By considering specific P2P peer selection behaviors on top of a traffic-engineered ISP network, we conduct a performance analysis on how the application and network-layer respective performance is influenced by different policies at the P2P side. Our empirical study offers significant insight for the future design and analysis of cross-layer network engineering approaches that involve multiple autonomous optimization entities with both consistent and non-consistent policies.
AB - The recently proposed Application Layer Traffic Optimization (ALTO) framework has opened up a new dimension for Internet traffic management that is complementary to the traditional application-agnostic traffic engineering (AATE) solutions currently employed by ISPs. In this paper, we investigate how ALTO-assisted Peer-to-Peer (P2P) traffic management functions interact with the underlying AATE operations, given that there may exist different application-layer policies in the P2P overlay. By considering specific P2P peer selection behaviors on top of a traffic-engineered ISP network, we conduct a performance analysis on how the application and network-layer respective performance is influenced by different policies at the P2P side. Our empirical study offers significant insight for the future design and analysis of cross-layer network engineering approaches that involve multiple autonomous optimization entities with both consistent and non-consistent policies.
UR - https://www.scopus.com/pages/publications/84862950386
U2 - 10.1109/LCN.2011.6115540
DO - 10.1109/LCN.2011.6115540
M3 - Conference Contribution (Conference Proceeding)
AN - SCOPUS:84862950386
SN - 9781612849287
T3 - Proceedings - Conference on Local Computer Networks, LCN
SP - 719
EP - 726
BT - Proceedings of the 36th Annual IEEE Conference on Local Computer Networks, LCN 2011
T2 - 36th Annual IEEE Conference on Local Computer Networks, LCN 2011
Y2 - 4 October 2011 through 7 October 2011
ER -