KANVAS: A Network Information Sharing Framework Based on Network Ontology Bonsai
Kanta Kuchii, Takao Kondo, Fumio Teraoka · 2022
Demands for acquiring Internet behavior are increasing for Internet-scale network understanding such as inter-AS path management and traffic engineering. Although there are several efforts to make Internet behavior public, most of the public information is not structured and it is hard for applications to use such information. This paper proposes a network information sharing framework called KANVAS. It defines a network ontology called Bonsai which models network structure from viewpoints of physical, logical, service, and operation network structures. Bonsai can express network virtualization technologies such as link aggregation (LAG), VLAN, L2 over L3 tunneling, and virtual routing and forwarding (VRF). Applications can access network information via useful API. As a first step of development of KANVAS and Bonsai, this paper describes network information sharing within a single domain focusing on failure localization and throughput monitoring as examples. Evaluation results on a PoC system show that the time for failure localization is short enough and a throughput monitoring tool can choose appropriate monitoring points.