In one embodiment, a secure object transfer system is described. The system features a virtual private cloud network (VPC) and a controller. The VPC includes a plurality of gateways and a network load balancer, which configured to conduct a load balancing scheme on access messages from computing devices deployed within an on-premises network to direct the access memory to one of the plurality of gateways for storage or retrieval of an object from a cloud-based storage element. Each gateway includes Fully Qualified Domain Name (FQDN) filtering logic to restrict access of the computing devices to certain cloud-based storage elements in accordance with a security policy. The controller is configured to maintain and update the security policy utilized by each gateway of the plurality of gateways.

Technologies for dynamically sharing remote resources include a computing node that sends a resource request for remote resources to a remote computing node in response to a determination that additional resources are required by the computing node. The computing node configures a mapping of a local address space of the computing node to the remote resources of the remote computing node in response to sending the resource request. In response to generating an access to the local address, the computing node identifies the remote computing node based on the local address with the mapping of the local address space to the remote resources of the remote computing node and performs a resource access operation with the remote computing node over a network fabric. The remote computing node may be identified with system address decoders of a caching agent and a host fabric interface. Other embodiments are described and claimed.

Embodiments of the present disclosure provide a method of backup management, an electronic device and a computer program product. The method comprises: determining a plurality of candidate backup policies for a plurality of clients of a data backup system, determining an expected load balance degree with respect to time for the data backup system to perform data backups for the plurality of clients using the plurality of candidate backup policies, determining an actual load balance degree with respect to time for the data backup system while the data backup system is performing the data backups for the plurality of clients using a plurality of current backup policies, and selecting a plurality of backup policies to be used for the plurality of clients respectively, based on a comparison of the expected load balance degree and the actual load balance degree.

Embodiments of the present disclosure provide a method of backup management, an electronic device and a computer program product. The method comprises: determining a plurality of candidate backup policies for a plurality of clients of a data backup system, determining an expected load balance degree with respect to time for the data backup system to perform data backups for the plurality of clients using the plurality of candidate backup policies, determining an actual load balance degree with respect to time for the data backup system while the data backup system is performing the data backups for the plurality of clients using a plurality of current backup policies, and selecting a plurality of backup policies to be used for the plurality of clients respectively, based on a comparison of the expected load balance degree and the actual load balance degree.

An advisor distribution system may include an advisor management system, which may include various software modules. The advisor management system may allow for a balanced distribution of a plurality of advisors operating a plurality of advisor computing devices into multiple groups based on value of a Mahalanobis Distance between each covariate of the plurality of advisors operating the plurality of advisor computing devices.

An advisor distribution system may include an advisor management system, which may include various software modules. The advisor management system may allow for a balanced distribution of a plurality of advisors operating a plurality of advisor computing devices into multiple groups based on value of a Mahalanobis Distance between each covariate of the plurality of advisors operating the plurality of advisor computing devices.

Technologies for switching network traffic include a network switch. The network switch includes one or more processors and communication circuitry coupled to the one or more processors. The communication circuity is capable of switching network traffic of multiple link layer protocols. Additionally, the network switch includes one or more memory devices storing instructions that, when executed, cause the network switch to receive, with the communication circuitry through an optical connection, network traffic to be forwarded, and determine a link layer protocol of the received network traffic. The instructions additionally cause the network switch to forward the network traffic as a function of the determined link layer protocol. Other embodiments are also described and claimed.

Embodiments of present disclosure relate to a method and an electronic device for determining a storage node (SN) for a network element (NE) in a communication network. The method comprises detecting addition of a NE to a plurality of NEs, wherein each of the plurality of NEs is dynamically allocated to a virtualization unit of a plurality of virtualization units, obtaining context information associated with each of a plurality of storage nodes and the NE upon detecting the addition of the NE to the plurality of NEs, wherein the plurality of storage nodes is located in the communication network and configured to store data associated with the plurality of NEs, and determining a storage node from the plurality of storage nodes for the NE, based on the context information associated with each of the plurality of storage nodes and the NE, wherein the virtualization unit of the plurality of virtualization units allocated to each of the plurality of NEs is updated upon selection of the storage node for the NE.

Embodiments of present disclosure relate to a method and an electronic device for determining a storage node (SN) for a network element (NE) in a communication network. The method comprises detecting addition of a NE to a plurality of NEs, wherein each of the plurality of NEs is dynamically allocated to a virtualization unit of a plurality of virtualization units, obtaining context information associated with each of a plurality of storage nodes and the NE upon detecting the addition of the NE to the plurality of NEs, wherein the plurality of storage nodes is located in the communication network and configured to store data associated with the plurality of NEs, and determining a storage node from the plurality of storage nodes for the NE, based on the context information associated with each of the plurality of storage nodes and the NE, wherein the virtualization unit of the plurality of virtualization units allocated to each of the plurality of NEs is updated upon selection of the storage node for the NE.

Active-active standby is maintained for communication sessions using web connections between two active session zones and a standby session zone, for example, in the event of a failure. The first active session zone is located at a first datacenter, the second active session zone is located at a second datacenter, and the standby session zone is located at a third datacenter. In the event of a failure at a first active session zone at the first datacenter, a failover to the second active session zone at the second datacenter is performed. In the event of a failure at both active session zones, a failover to the standby session zone at the third datacenter is performed.