Methods, systems, and apparatuses for orchestrating the re-configuration of a Time-Triggered Ethernet (TTE) network for a plurality of configuration definitions (CDs) within a network configuration superset (NCS) by a Network Scheduling Tool (NST), including coupling a plurality of FSs to at least one common control FS (CCFS) to enable control by the NST of each FS by a runtime procedure wherein each FS of the plurality of FSs is composed of Virtual Links (VLs); scheduling the plurality of features sets (FSs) based on a target configuration of a specified FSs coupled to the CCFS within the TTE network; collecting, in a first scheduling pass by the NST, multiple FSs related to a plurality of phase configurations wherein the FSs are used to derive a specified target FS configuration; and forming a common FS by using an application to determine features associated with each FS of the plurality of FSs.

The present disclosure relates to auto-configuration methods and apparatus, and base stations. One example method includes determining physical configuration information of a base station, where the base station includes a control node and at least one hardware node, the physical configuration information of the base station indicates topology information and hardware attribute information of each node that needs to be configured, and nodes that need to be configured include at least one of the at least one hardware node, determining logical mapping configuration information of the base station, where the logical mapping configuration information of the base station indicates a mapping relationship between a hardware resource included in the base station and a logical resource corresponding to the hardware resource.

A method for providing a dormant state for content management servers is provided. Client devices are allowed to conduct transactions with servers when the servers are active. However, in a dormant state, the servers are not allowed to accept new transactions. Thus, by utilizing the dormant state, software upgrades can be made to one server at a time. Alternatively, all servers can be taken down for major upgrades, with the servers still operated in a read-only mode based on a file image from a point in time just prior to the shutdown. When the upgrade is completed, the servers can be returned to the active state.

A server configuration tool is presented for autonomously configuring servers located in a network. The tool may autonomously configure multiple servers in parallel based on individual states of the servers, which may be periodically and simultaneously determined. For example, the tool may determine which action to take to begin or continue configuring the server based on the present state of each server. Server states (and corresponding actions) can be edited through a user interface to alter the server configuration process without code changes. At any one time, multiple servers may be in different states requiring different configuration operations to configure the servers to be ready for use. The present systems and methods can be used to move multiple servers iteratively through different configuration actions based on the individual state of each server and to perform non-conflicting configuration operations for multiple servers in parallel.

Some embodiments provide a system for implementing a logical network that includes a set of end machines, a first logical middlebox, and a second logical middlebox connected by a set of logical forwarding elements. The system includes a set of nodes. Each of several nodes includes (i) a virtual machine for implementing an end machine of the logical network, (ii) a managed switching element for implementing the set of logical forwarding elements of the logical network, and (iii) a middlebox element for implementing the first logical middlebox of the logical network. The system includes a physical middlebox appliance for implementing the second logical middlebox.

The present invention provides a removable device, adapted to connect to a head unit of a vehicle and comprising: a first communication module configured for bi-directional communication of data with the head unit; a second communication module configured for bi-directional communication of data with a wireless network, in particular a mobile telecommunication network; a memory unit storing an application programming interface (API) implementing at least a first protocol for the communication with the head unit via the first communication module; and a control unit comprising at least one processing unit adapted to execute the API; wherein the control unit is configured to provide at least one service to the head unit via the first communication module.

Some embodiments of the invention provide a method for deploying software-implemented resources in a software defined datacenter (SDDC). The method initially receives a hierarchical API command that, in a declarative format, specifies several operation requests for several software-defined (SD) resources at several resource levels of a resource hierarchy in the SDDC. The method parses the API command to identify the SD resources at the plurality of resource levels. Based on the parsed API command, the method deploys the SD resources by using a deployment process that ensures that any first SD resource on which a second SD resource depends is deployed before the second resource. In some embodiments, a second SD resource depends on a first SD resource when the second SD resource is a child of the first SD resource. Alternatively, or conjunctively, a second SD resource can also depend on a first SD resource in some embodiments when the second SD resource has some operational dependency on the first SD resource. In some embodiments, the method parses the API command by identifying several sets of SD resources, with each set having one or more SD resources at one resource level. The deployment in some embodiments deploys the identified SD resource sets at higher resource levels before deploying SD resources at lower resource levels.

A network management device according to an embodiment includes: a path selection processing unit configured to perform path selection processing of selecting a path of a physical layer between a start point and an end point of a network based on a first entity stored in a first storage device configured to store the first entity, the first entity representing an entity of an information object of the network; and

an entity generation processing unit configured to perform entity generation processing of generating a second entity of a logical layer corresponding to the path of the physical layer selected by the path selection processing unit based on a specification of the information object stored in a second storage device configured to store the specification.

A method for configuring a network service system for performing a network service using AR comprises: at a user device executing an AR cabling application: communicating, to an AR cabling subsystem of the network service system, network service task identification information usable for identifying at least one testing or monitoring case (TMC) definition provisioned within the network service system; receiving, from the AR cabling subsystem of the network service system, cabling instructions based on the network service task identification information, wherein the cabling instructions is for instructing the user to perform a cabling task associated with the at least one TMC definition, wherein the cabling task involves connecting at least one cable to one or more physical ports of a physical resource of the network service system; and providing, via a display and using at least one AR element, the cabling instructions for instructing the user to perform the cabling task.

The system, method, and non-transitory computer readable medium described herein, automatically generates technical requirements using information provided by a user. The technical requirements can be used to onboard the IoT device and initiate communication between an IoT device and a controller and the controller and a cloud based distributed computing systems.