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...
Results show that live-metric adaptive path selection yields large throughput gains where path diversity can be exploited and behaves as a safe drop-in replacement for shortest-path forwarding otherwise.
It is argued that an ideal traffic query language should give network operators flexibility to detect a diversity of events without sacrificing implementation efficiency, and presents a stream processing model called Streaming Intermediate Representation (SIR), which can represent a wide range of queries while providin...
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...
The results of the investigation show that the P4 switch’s programmability has a significant impact on the SDN’s QoS and routing performance, and the P4QT was 94.9% more successful in optimized routing and avoiding the congestion.
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.