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How does BGP determine the best path for inbound and outbound traffic?

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Border Gateway Protocol (BGP) determines the best path for inbound and outbound traffic differently. For outbound traffic, an Autonomous System (AS) can select routes received from its peering neighbor ASes to optimize performance or bypass failures. In contrast, controlling inbound traffic paths is more challenging as ASes cannot directly influence the selection by remote ASes. ASes can manipulate BGP path attributes of their advertised prefixes to potentially alter the inbound traffic paths from other ASes. Route reflectors can aid in selecting the best path for clients without additional client-side state, based on virtual locations in the IGP or user-configured policies. To enhance security against BGP hijacking, algorithms combining attributes and topological data from BGP routing tables are proposed for anomaly detection. Additionally, BGP specifications emphasize the importance of 'BGP next-hop reachability' for route resolvability, with a need for further granularity in certain cases.

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Proceedings Article•DOI BGP anomaly detection - a path-based apporach Chang Yang, Wenli Jia - Show less +1 more 01 Feb 2023	BGP determines the best path for traffic based on attributes and topological information, utilizing a path-based routing anomaly detection algorithm that safeguards against BGP hijacking in inter-networks.
Open access BGP Bestpath Selection Criteria Enhancement Rajiv Asati 05 Jun 2019 1 Citations	BGP determines the best path based on the "Route Resolvability Condition," ensuring the next-hop is resolved in the chosen data plane for inbound and outbound traffic.
Report•DOI BGP Optimal Route Reflection (BGP-ORR) Christian Cassar, Bruno Decraene, Erik Aman, Kevin Wang, Robert Raszuk - Show less +4 more 15 Jan 2021 8 Citations	BGP Optimal Route Reflection (BGP-ORR) allows route reflectors to select the best path for clients based on learned paths and configured policies, facilitating optimal inbound and outbound traffic routing.
Proceedings Article•DOI BGP anomaly detection - a path-based apporach 01 Feb 2023	BGP determines the best path for inbound and outbound traffic based on attributes and topological information, utilizing a path-based routing anomaly detection algorithm to safeguard against hijacking.
Proceedings Article•DOI Observing BGP route poisoning in the wild Yangyang Wang, Mingwei Xu - Show less +1 more 10 Aug 2020	BGP allows ASes to select outbound paths based on received routes, while inbound paths are influenced by manipulating BGP path attributes of advertised prefixes.

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What algorithm is ideal for generating optimal routes considering obstacles?4 answersThe ideal algorithm for generating optimal routes considering obstacles is a combination of potential fields and gradient-based methods, as proposed in recent research studies. This algorithm intelligently guides mobile robots around obstacles by leveraging attractive and repulsive forces, ensuring safe and efficient trajectories. Additionally, in the context of wireless sensor networks (WSNs) with obstacle-ridden environments, an efficient scheme has been developed to determine an optimal number of rendezvous points (RPs) and construct obstacle-free paths using a greedy approach and the modified BUG2 algorithm. Moreover, for unmanned surface vessel (USV) route planning, a strategy based on deep reinforcement learning (DRL) and velocity obstacle (VO) methods has been designed to achieve fast and safe route planning in complex marine environments with dynamic and static obstacles.

How to Identifying the Most Utilized Path in Urban Road Networks?4 answersIdentifying the most utilized path in urban road networks can be achieved through various methods. One approach is to use aggregated traffic models based on the Macroscopic Fundamental Diagram (MFD) and determine the prevailing paths chosen by drivers. This can be done by analyzing travel patterns in the urban network and city network partitioning, or by calculating shortest-cost paths on the aggregated network using impedance functions based on topological features. Another method involves ranking paths based on historical trajectories and contextual features, using a multi-task learning framework that considers road network topology and spatial properties. Additionally, a method based on floating car trajectory clustering can be used to extract urban road information and identify road skeleton lines. Furthermore, an urban commuting path recognition method can be employed by obtaining OD points of vehicles and constructing commuting paths based on path points and frequency information.

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How does MEC traffic path is selected?5 answersMEC traffic path is selected through a distributed traffic steering approach that differentiates between edge servers (ESs) and routers in a large MEC system. This approach resolves the scalability problem of a large MEC network by partitioning it into smaller networks. The path-finding procedure is bounded with a filter strategy based on network distance to eliminate non-related network elements. A decentralized framework for MEC is used, and matrix-based dynamic shortest path selection and matrix-based dynamic multipath searching algorithms are proposed for dynamic path selection. The system works based on two important metrics: time delay and available bandwidth. Experimental results show that this dynamic traffic steering system significantly outperforms centralized approaches in terms of efficiency in Quality of Service (QoS).

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