2011 IEEE Global Telecommunications Conference - GLOBECOM 2011, 2011
BGP dictates routing between autonomous systems with rich policy mechanisms in today's Inter... more BGP dictates routing between autonomous systems with rich policy mechanisms in today's Internet. Operators translate high-level policy objectives into low-level router configurations without a comprehensive understanding of the actual effects on the network behavior, leaving the routing management an error-prone and time-consuming procedure. A fundamental question is: how to verify the intended routing principles against the actual routing effects of an ISP? In this paper, we develop a Routing Policy Inference Model (RPIM) as the first step towards addressing this fundamental issue. RPIM extracts various policy patterns from the BGP routing tables and translates them into high-level policy objectives of the ISP using a grouping and matching technique. Our work bridges the gap between the high-level policy objectives and the actual routing effects, which provides network operators with a novel approach to verify their policy design principles, thus facilitating the routing management. We evaluate our approach by extensive simulations using the Internet AS-level topology from CAIDA and the real routing data from the Abilene network. Simulation results show that RPIM achieves over 78.94% average inference accuracy in our suggested optimal threshold range. We also verify RPIM on several operating ISPs by the registered policies in an Internet Routing Registry (IRR). A representative case study on AS3292 demonstrates that RPIM effectively infers high-level policy objectives from routing data.
ABSTRACT BGP dictates routing between autonomous systems with rich policy mechanisms in today&... more ABSTRACT BGP dictates routing between autonomous systems with rich policy mechanisms in today's Internet. Operators translate high-level policy principles into low-level configurations of multiple routers without a comprehensive understanding of the actual effect on the network behaviors, making the routing management and operation an error-prone and time-consuming procedure. A fundamental question to answer is: how to verify the intended routing principles against the actual routing effects of an ISP? In this paper, we develop a methodology RPIM (Routing Policy Inference Model) towards this end. RPIM extracts from the routing tables various policy patterns, which represent certain high-level policy intentions of network operators, and then maps the patterns into specific design primitives that the ISP employs. To the best of our knowledge, we are the first to infer routing policies in ISP networks comprehensively from the aspects of business relationship, traffic engineering, scalability and security. We apply RPIM to 11 ASes selected from RIPE NCC RIS project, and query IRR database to validate our approach. Vast majority of inferred policies are confirmed by the policy registries, and RPIM achieves 96.23% accuracy excluding validation difficulties caused by incompleteness of the IRR database.
Not only do big data applications impose heavy bandwidth demands, they also have diverse communic... more Not only do big data applications impose heavy bandwidth demands, they also have diverse communication patterns denoted as *-cast) that mix together unicast, multicast, incast, and all-to-all-cast. Effectively supporting such traffic demands remains an open problem in data center networking. We propose an unconventional approach that leverages physical layer photonic technologies to build custom communication devices for accelerating each *-cast pattern, and integrates such devices into an application-driven, dynamically configurable photonics accelerated data center network. We present preliminary results from a multicast case study to highlight the potential benefits of this approach.
2011 IEEE Global Telecommunications Conference - GLOBECOM 2011, 2011
BGP dictates routing between autonomous systems with rich policy mechanisms in today's Inter... more BGP dictates routing between autonomous systems with rich policy mechanisms in today's Internet. Operators translate high-level policy objectives into low-level router configurations without a comprehensive understanding of the actual effects on the network behavior, leaving the routing management an error-prone and time-consuming procedure. A fundamental question is: how to verify the intended routing principles against the actual routing effects of an ISP? In this paper, we develop a Routing Policy Inference Model (RPIM) as the first step towards addressing this fundamental issue. RPIM extracts various policy patterns from the BGP routing tables and translates them into high-level policy objectives of the ISP using a grouping and matching technique. Our work bridges the gap between the high-level policy objectives and the actual routing effects, which provides network operators with a novel approach to verify their policy design principles, thus facilitating the routing management. We evaluate our approach by extensive simulations using the Internet AS-level topology from CAIDA and the real routing data from the Abilene network. Simulation results show that RPIM achieves over 78.94% average inference accuracy in our suggested optimal threshold range. We also verify RPIM on several operating ISPs by the registered policies in an Internet Routing Registry (IRR). A representative case study on AS3292 demonstrates that RPIM effectively infers high-level policy objectives from routing data.
ABSTRACT BGP dictates routing between autonomous systems with rich policy mechanisms in today&... more ABSTRACT BGP dictates routing between autonomous systems with rich policy mechanisms in today's Internet. Operators translate high-level policy principles into low-level configurations of multiple routers without a comprehensive understanding of the actual effect on the network behaviors, making the routing management and operation an error-prone and time-consuming procedure. A fundamental question to answer is: how to verify the intended routing principles against the actual routing effects of an ISP? In this paper, we develop a methodology RPIM (Routing Policy Inference Model) towards this end. RPIM extracts from the routing tables various policy patterns, which represent certain high-level policy intentions of network operators, and then maps the patterns into specific design primitives that the ISP employs. To the best of our knowledge, we are the first to infer routing policies in ISP networks comprehensively from the aspects of business relationship, traffic engineering, scalability and security. We apply RPIM to 11 ASes selected from RIPE NCC RIS project, and query IRR database to validate our approach. Vast majority of inferred policies are confirmed by the policy registries, and RPIM achieves 96.23% accuracy excluding validation difficulties caused by incompleteness of the IRR database.
Not only do big data applications impose heavy bandwidth demands, they also have diverse communic... more Not only do big data applications impose heavy bandwidth demands, they also have diverse communication patterns denoted as *-cast) that mix together unicast, multicast, incast, and all-to-all-cast. Effectively supporting such traffic demands remains an open problem in data center networking. We propose an unconventional approach that leverages physical layer photonic technologies to build custom communication devices for accelerating each *-cast pattern, and integrates such devices into an application-driven, dynamically configurable photonics accelerated data center network. We present preliminary results from a multicast case study to highlight the potential benefits of this approach.
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