Abstract: Embodiments relate to providing communication over cross-coupled links between independently managed compute and storage networks. An aspect includes coupling an independently managed local subsystem with an independently managed remote subsystem over cross-coupled links, whereby each subsystem includes compute entities and storage entities. Unique identifiers are assigned to all the compute entities and the storage entities in the local network and the remote network. A determination is then made as to whether each entity is in the local subsystem or the remote subsystem. Accordingly, a global broadcast tree is built to bridge the compute entities in the local subsystem to the storage entities in both the local and remote subsystem. Responsive to an error in a layer of the local subsystem external to a cross-coupled link, the cross-coupled link in the local subsystem is disabled. Accordingly, the remote subsystem may detect that the link has failed.

Abstract: An exemplary method of identifying configuration topology, existing switches, and miswires in a given network is provided. Given a number of switches, which may be less than the maximum possible for the actual configuration and some ports of which may be miswired, generate a hypothesis for the supported topology of which the existing configuration is a subset. A best fit of the existing switches to the supported number switches of the maximal topology is performed, using formulae for the connections of the maximal supported topology. If supported switches are found missing in the assumed topology, the switch count is increased accordingly, and started over with a new hypothesis. When satisfied with identification, all switch ports are revisited and the connection formulae is used to identify all miswires.

Abstract: An exemplary method of identifying configuration topology, existing switches, and miswires in a given network is provided. Given a number of switches, which may be less than the maximum possible for the actual configuration and some ports of which may be miswired, generate a hypothesis for the supported topology of which the existing configuration is a subset. A best fit of the existing switches to the supported number switches of the maximal topology is performed, using formulae for the connections of the maximal supported topology. If supported switches are found missing in the assumed topology, the switch count is increased accordingly, and started over with a new hypothesis. When satisfied with identification, all switch ports are revisited and the connection formulae is used to identify all miswires.

Abstract: An exemplary method of identifying configuration topology, existing switches, and miswires in a given network is provided. Given a number of switches, which may be less than the maximum possible for the actual configuration and some ports of which may be miswired, generate a hypothesis for the supported topology of which the existing configuration is a subset. Perform a best fit of the existing switches to the supported number switches of the maximal topology, using formulae for the connections of the maximal supported topology. If supported switches are found missing in the assumed topology, increase the switch count accordingly, and start over with a new hypothesis. When satisfied with identification, revisit all switch ports and use the connection formulae to identify all miswires.