AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
BEAM is introduced, which integrates three key components: a sequential topology embedding algorithm that employs a heuristic search with Warnsdorff’s rule to construct a near-Hamiltonian path, abstracting any arbitrary physical network into a unified logical sequence, enabling concurrent packet forwarding to improve t...
Software-Defined Networking (SDN) separates the forwarding layer from a programmable control layer, enabling traffic management from a single logical control point. However, when the controller forwards along purely topological shortest paths, it cannot exploit the path diversity of multi-rooted data-centre fabrics, so...
Modern network management requires dynamically reacting to a broad set of events occurring in the network. Detecting the traffic behaviors associated with these events requires identifying patterns and computing metrics over high-velocity streams of network packets flowing through a link, router, or switch. To facilita...
This paper studies AQM deployment in a specific class of networks where routers/switches have a topological hierarchy, form acyclic paths, and adopt multipath routing and defines a Katz centrality-based metric to choose the most appropriate router for AQM deployment, and argues that doing so ensures the greatest stabil...
PacketExpress is presented, a packet processing architecture that enables networks to leverage large MTUs for Internet traffic without requiring modifications to neighboring networks and introduces F-PMTUD, which determines the path MTU within a single round-trip time without relying on ICMP.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.