A method, computer program product, and computer system for applying deductive artificial intelligence (AI) attribution and auditability to data inputs, wherein the deductive AI may account for ontologies and competing system information, and wherein the deductive AI attribution and auditability may be applied to the data inputs by user workflow. The data inputs applied with the deductive AI attribution and auditability may be processed via a feedback loop to align a sense-understand-decide-act (SUDA) understanding with an inductive AI understanding. The inductive AI may be automated via the feedback loop based upon, at least in part, an AI expert system processing of the data inputs. One or more policy based rules may be developed for user automation authorization based upon, at least in part, the feedback loop.

Some embodiments provide a method for implementing a logical router in a network. The method receives a definition of a logical router for implementation on a set of network elements. The method defines several routing components for the logical router. Each of the defined routing components includes a separate set of routes and separate set of logical interfaces. The method implements the several routing components in the network. In some embodiments, the several routing components include one distributed routing component and several centralized routing components.

Systems and methods may include receiving first data of components, which may represent performance characteristics of the components at a first time. The systems and methods may include performing a first cluster analysis of the first data to identify clusters of the components with similar characteristics. The systems and methods may include receiving second data of the components, which may represent performance characteristics of the components at a second time. The systems and methods may include performing a second cluster analysis of the second data to identify clusters of the components with similar characteristics. The systems and methods may include determining whether a component transitioned from a cluster identified in the first cluster analysis to a different cluster identified in the second cluster analysis. The systems and methods may include determining that an anomaly occurred in response to determining that the component transitioned from the cluster to the different cluster.

Systems and methods of this disclosure can operate to synchronize timing between communication devices and can include a timing server. The timing server can provide a communications interface for the exchange of timing messages to a first communication device. Using existing protocol messages defined in the M-CMTS architecture, additional communication devices can intercept, snoop, and extract timing information from messages between the first communication device and the timing server to adjust their internal clocks to maintain timing synchronization thereby reducing the number of communication interfaces required from a timing server.

The present invention permits improved data access and improved date management in a computer system. To this end, data are divided into individual partial data (F) and stored in cells (Z) of storage devices (C) in such a way that the partial data (F) being accessed and managed are present in the computer system in a redundant manner. Computer units (CL) are able to access the redundantly stored data. The fact that they are stored in the storage devices (C) ensures that the computer units (CL) accessing said data are supplied more rapidly. This is achieved in particular owing to the fact that the redundantly stored data are accessed in accordance with parameters of data transmissions between the computer units (CL) and the data storage devices (C) and that, in according with said data transmission parameters, the redundantly stored data are moved to and from the data storage devices (C) by corresponding copy and delete operations.

Domain-based server-selection computer-implemented processes and machines implement an extension of RAFT consensus for leader selection based on patterns of update data proximity. Accounts involved in payment or other transactions are maintained as “sharded” data across data store instances that are split into shards according to their temporal activity. If the domain attributes for a node exceed a threshold and are greater than the other nodes, the node is designated as a leader node and the others are designated as follower nodes. This provides an additional optimization in network performance by introducing insights in normal operations within a domain in a distributed network. If the domain attributes do not exceed the threshold and/or are not greater than the other nodes, a traditional consensus algorithm is used to select leader and follower nodes.

In a message transmission method, an access controller receives a first message from an access node, and the first message includes a first identifier. The access controller obtains a line identifier according to the first identifier. The access controller obtains a second message according to the line identifier, and the second message includes the line identifier. The access controller sends the second message to a relay server.

A method for synchronous processing exchange orders, comprising: creating a first batch of orders by accumulating exchange orders received within a first time period, TP1; creating a second batch of orders by accumulating exchange orders received within a second time period, TP2; and processing the orders from the first batch within the second time period, TP2.

Described herein is a computer implemented method for operating a collaboration system to synchronize integrations installed on a client device with integrations stored by the collaboration system. The method comprises: receiving a synchronization request from the client device and, for a given integration included in the synchronization request: retrieving a system integration token and comparing a client integration token received in the request with the system integration token. Responsive to determining that the client and system integration tokens do not match, the method further comprises determining the client to be out of date with respect to the given integration and sending an integration update to the client device.

An energy management server includes a controller configured to process first data collected from a power system into a second data; a memory database unit configured to classify the second data into dynamic data and static data according to an established data classification to store the dynamic and static data; and a duplex controller configured to selectively receive the first data and the dynamic data or the static data to synchronize with another energy management server.