Systems and methods are disclosed for generating a backup of configuration information files at a system controller and storing this backup at a server via the use of a network device.

Managing connectivity to synchronously replicated storage systems, including: identifying a plurality of storage systems across which a dataset is synchronously replicated; identifying a host that can issue I/O operations directed to the dataset; identifying a plurality of data communications paths between the host and the plurality of storage systems across which a dataset is synchronously replicated; identifying, from amongst the plurality of data communications paths between the host and the plurality of storage systems across which a dataset is synchronously replicated, one or more optimal paths; and issuing, to the host, an identification of the one or more optimal paths.

Datasets can be synchronized across cloud-based computer environments using computer systems. A data map can be generated for source datasets for a plurality of computing environments, respectively, and an activation function can be determined based on the data map, for simultaneously activating a new dataset of a source system from one of the plurality of computing environments. A generation ID (identification) can be shared from the source system with one or more computing environments of the plurality of the computing environments, in response to receiving the activation function. The new dataset of the source system can be replicated across the one or more computing environments. A data synchronization trigger can be activated, using a synchronization coordinator module of the computer, and the data synchronization can be completed across the plurality of computing environments.

A processor-implemented method for synchronizing and reconciling data stream in real-time between an edge node and a cloud node is provided. The method includes (i) generatin classified data by classifying data of the data stream that is obtained from a plurality of edge nodes in real-time to synchronize in a location at a plurality of cloud nodes, (ii) synchronizing the classified data in the plurality of cloud nodes by detecting a first location and a type of database in the plurality of cloud nodes and storing the classified data in the first location in the plurality of cloud, (iii) replicating the classified data in a plurality of second locations in the plurality of cloud nodes, and (iv) receiving, from the plurality of edge nodes, a request signal for synchronizing the classified data from the plurality of cloud nodes to the plurality of edge nodes when the first location in the plurality of cloud nodes fails to transfer the classified data during a transaction.

The present embodiments relate to a CI replication service that can replicate domain data from IDCS control plane to data plane and to all subscribed regions of a domain. For instance, the CI replication service can provide replication of required resources of a domain for AuthN and AuthZ from an IDCS local region to other regions for high availability (e.g., to improve latency). The CI replication service can replicate the resources from a domain's home region to all subscribed regions for local availability of data for workloads running in those regions. Further, when a new region is subscribed for a domain, then the service can bootstrap that domain's data from home region before enabling that region for the domain.

The present embodiments relate to a CI replication service that can replicate domain data from IDCS control plane to data plane and to all subscribed regions of a domain. For instance, the CI replication service can provide replication of required resources of a domain for AuthN and AuthZ from an IDCS local region to other regions for high availability (e.g., to improve latency). The CI replication service can replicate the resources from a domain's home region to all subscribed regions for local availability of data for workloads running in those regions. Further, when a new region is subscribed for a domain, then the service can bootstrap that domain's data from home region before enabling that region for the domain.

A device includes processing circuitry and sensor communication interface circuitry. The processing circuitry, in operation, generates one or more parameters of a regression model based on a plurality of data sets. Each data set includes an application time stamp and a sensor time stamp. Based on the one or more parameters, the processing circuitry estimates application time stamps associated with received sensor data samples. The received sensor data samples have associated sensor time stamps. The sensor communication interface circuitry is coupled to the processing circuitry. The sensor communication interface circuitry, in operation, communicatively couples the processing circuitry to a sensor. Data samples of the sensor are received by the processor via the sensor communication interface circuitry.

A device includes processing circuitry and sensor communication interface circuitry. The processing circuitry, in operation, generates one or more parameters of a regression model based on a plurality of data sets. Each data set includes an application time stamp and a sensor time stamp. Based on the one or more parameters, the processing circuitry estimates application time stamps associated with received sensor data samples. The received sensor data samples have associated sensor time stamps. The sensor communication interface circuitry is coupled to the processing circuitry. The sensor communication interface circuitry, in operation, communicatively couples the processing circuitry to a sensor. Data samples of the sensor are received by the processor via the sensor communication interface circuitry.

Embodiments for optimizing a backup operation for a data protection system, by connecting with network devices in a network implementing the backup operation, the backup operation implementing a policy that specifies a plurality of service requirements and that is initiated at a time within a plurality of time windows, and determining a size of dataset to be backed up by the backup operation. The method further monitors a flow of data between a source and a destination of data in the network, compiles historical data of operational parameters for data transfers between the source and destination, and determines an optimum time within the plurality of time windows based on the dataset size and the historical data.

Embodiments for optimizing a backup operation for a data protection system, by connecting with network devices in a network implementing the backup operation, the backup operation implementing a policy that specifies a plurality of service requirements and that is initiated at a time within a plurality of time windows, and determining a size of dataset to be backed up by the backup operation. The method further monitors a flow of data between a source and a destination of data in the network, compiles historical data of operational parameters for data transfers between the source and destination, and determines an optimum time within the plurality of time windows based on the dataset size and the historical data.