A Data Storage Device (DSD) includes a plurality of solid-state memories for storing data and a controller configured to receive a packet from a host including a command to read or write data in a solid-state memory of the plurality of solid-state memories and a header to communicate between the host and the DSD. The header in the packet is changed into an internal header to communicate between the controller and the solid-state memory. An internal command and the internal header are sent to the solid-state memory to perform the command.

A federated learning method and a federated learning system based on mediation process are provided. The federated learning method includes: dividing a plurality of client devices into a plurality of mediator groups, and generate a plurality of mediator modules; configuring a server device to broadcast initial model weight data to the plurality of mediator modules; configuring the plurality of mediator modules to execute a sequential training process for the plurality of mediator groups to train a target model and generate trained model weight data; configuring the server device to execute a weighted federated averaging algorithm to generate global model weight data; and configuring the server device to set the target model with the global model weight data to generate a global target model.

A federated learning method and a federated learning system based on mediation process are provided. The federated learning method includes: dividing a plurality of client devices into a plurality of mediator groups, and generate a plurality of mediator modules; configuring a server device to broadcast initial model weight data to the plurality of mediator modules; configuring the plurality of mediator modules to execute a sequential training process for the plurality of mediator groups to train a target model and generate trained model weight data; configuring the server device to execute a weighted federated averaging algorithm to generate global model weight data; and configuring the server device to set the target model with the global model weight data to generate a global target model.

In one embodiment, a system for managing a virtualization environment includes a plurality of host machines, wherein each of the host machines comprises a hypervisor and one or more user virtual machines (user VMs), and a virtual machine controller, one or more virtual disks comprising a plurality of storage devices, a virtualized file server (VFS) comprising a plurality of file server virtual machines (FSVMs), wherein each of the FSVMs is running on one of the host machines. The VFS may be configured to receive a request for storage system information from a user and generate and send a response to the request, wherein the response is customized according to configuration information of the VFS that is specific to the user. The storage system information requested may include a total size of storage available to the user, and the user may have an associated storage quota limit.

In one embodiment, a system for managing a virtualization environment includes a plurality of host machines, wherein each of the host machines comprises a hypervisor and one or more user virtual machines (user VMs), and a virtual machine controller, one or more virtual disks comprising a plurality of storage devices, a virtualized file server (VFS) comprising a plurality of file server virtual machines (FSVMs), wherein each of the FSVMs is running on one of the host machines. The VFS may be configured to receive a request for storage system information from a user and generate and send a response to the request, wherein the response is customized according to configuration information of the VFS that is specific to the user. The storage system information requested may include a total size of storage available to the user, and the user may have an associated storage quota limit.

Embodiments of this application provide a data synchronization method and apparatus in a distributed system, a computer-readable medium, and an electronic device. The method includes: obtaining historical data synchronization information of adjacent nodes connected to a target node and determining selection weight values of the adjacent nodes according to the historical data synchronization information. The selection weight values are used for measuring efficiency of the adjacent nodes synchronizing data to the target node to select, according to the selection weight values of the adjacent nodes, a target adjacent node for synchronizing data to the target node. Target data is synchronized from the selected target adjacent node with the target node.

Embodiments of this application provide a data synchronization method and apparatus in a distributed system, a computer-readable medium, and an electronic device. The method includes: obtaining historical data synchronization information of adjacent nodes connected to a target node and determining selection weight values of the adjacent nodes according to the historical data synchronization information. The selection weight values are used for measuring efficiency of the adjacent nodes synchronizing data to the target node to select, according to the selection weight values of the adjacent nodes, a target adjacent node for synchronizing data to the target node. Target data is synchronized from the selected target adjacent node with the target node.

Resilient mediation between storage systems replicating a dataset, including: receiving, by a mediation service from one or more storage systems that synchronously replicate a dataset, a request to resolve which storage system continues to service a dataset after the request; and sending, from the mediation service to at least one of the storage systems, a positive mediation result, wherein: the storage systems that received the positive mediation result continue to process data storage requests directed to the dataset, and the storage systems that did not receive a positive mediation result from the mediation service do not continue to process data storage requests directed to the dataset.

In accordance with an embodiment, described herein is a system and method for heterogeneous database replication from a remote server, for example a remote database server. A capture process can be registered as a replication slave to the remote server, and configured to receive transaction event data from that server. Transaction log events associated with a modification to the database at the remote server can be processed, and output as change data, in a canonical format output, for use with one or more heterogeneous targets, for example a target database server or message queue. The process enables capture of transaction log events associated with database transactions at a remote server that may be located on a different computer or network, or within an access-restricted environment such as a cloud environment, without the need to create additional copies of its transaction logs.

In accordance with an embodiment, described herein is a system and method for heterogeneous database replication from a remote server, for example a remote database server. A capture process can be registered as a replication slave to the remote server, and configured to receive transaction event data from that server. Transaction log events associated with a modification to the database at the remote server can be processed, and output as change data, in a canonical format output, for use with one or more heterogeneous targets, for example a target database server or message queue. The process enables capture of transaction log events associated with database transactions at a remote server that may be located on a different computer or network, or within an access-restricted environment such as a cloud environment, without the need to create additional copies of its transaction logs.