515 research outputs found
Information Exchange rather than Topology Awareness: Cooperation between P2P Overlay and Traffic Engineering
Solutions to the routing strategic conflict between noncooperative P2P overlay and ISP underlay go separate ways: hyperselfishness and cooperation. Unpredictable (possibly adverse) impact of the hyperselfish topology awareness, which is adopted in both overlay routing and traffic engineering, has not been sufficiently studied in the literature. Topology-related information exchange in a cooperatively efficient way should be highlighted to alleviate the cross-layer conflict. In this paper, we first illustrate the hyperselfish weakness with two dynamic noncooperative game models in which hyperselfish overlay or underlay has to accept a suboptimal profit. Then we build a synergistic cost-saving (SC) game model to reduce the negative effects of noncooperation. In the SC model, through information exchange, that is, the classified path-delay metrics for P2P overlay and peer locations for underlay, P2P overlay selects proximity as well as saving traffic transit cost for underlay, and ISP underlay adjusts routing to optimize network cost as well as indicating short delay paths for P2P. Simulations based on the real and generated topologies validate cost improvement by SC model and find a proper remote threshold value to limit P2P traffic from remote area, cross-AS, or cross-ISP
An empirical study on the interactions between ALTO-assisted P2P overlays and ISP networks
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
Context aware programmable trackers for the next generation Internet
This work introduces and proposes the concept of context
aware programmable trackers for the next generation Internet. The pro-
posed solution gives ground for the development of advanced applications
based on the P2P paradigm and will foster collaborative efforts among
several network entities (e.g. P2P applications and ISPs). The proposed
concept of context aware programmable trackers allows that several peer
selection strategies might be supported by a P2P tracker entity able to
improve the peer selection decisions according with pre-defined objectives
and external inputs provided by specific services. The flexible, adaptive
and enhanced peer selection semantics that might be achieved by the
proposed solution will contribute for devising novel P2P based services
and business models for the future Internet
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