An apparatus and method for automatic configuration management of a network are provided. The apparatus and method may provide a virtualization system that has an inventory that includes physical resources and virtual assets managed by a virtualization layer running on the physical resources; wherein virtual assets are software instantiations of computer systems, receive a virtual asset provisioning request that specifies parameters to be considered for the virtual asset provisioning request and receive data on inventory available in the virtualization system. The apparatus and method may automatically provision a particular virtual asset to a particular physical resource in the virtualization system that matches the parameters in the virtual asset provisioning request, assign the provisioned virtual asset to the virtual asset provisioning request and provide user access to the provisioned virtual asset.

A content delivery system comprising one or more one management servers comprising one or more processors for executing a code of one or more management agent instances. The code comprising code instructions to monitor a plurality of delivery servers of a distributed network to update dynamically a content record listing a plurality of content objects according to availability parameter(s) of each delivery server, code instructions to receive a content request from (user) client device to retrieve requested content object(s), code instructions to select preferred delivery server(s) from the delivery servers to provide the requested content object(s) to the client device according to analysis of the availability parameter(s) of each delivery server and code instructions to provide the client device with an IP address of the selected delivery server(s) to allow the client device to retrieve the requested content object(s) via a transmission session established with the selected delivery server(s).

A content delivery system comprising one or more one management servers comprising one or more processors for executing a code of one or more management agent instances. The code comprising code instructions to monitor a plurality of delivery servers of a distributed network to update dynamically a content record listing a plurality of content objects according to availability parameter(s) of each delivery server, code instructions to receive a content request from (user) client device to retrieve requested content object(s), code instructions to select preferred delivery server(s) from the delivery servers to provide the requested content object(s) to the client device according to analysis of the availability parameter(s) of each delivery server and code instructions to provide the client device with an IP address of the selected delivery server(s) to allow the client device to retrieve the requested content object(s) via a transmission session established with the selected delivery server(s).

Empirical data of exit nodes are continuously monitored and each exit node's overall performance and available capacity are calculated. The empirical data can include monitoring the number of concurrent requests currently being executed by each exit node and the disconnection chronology of each exit node. Further, each exit node is tested by benchmark requests and ping messages and each exit node's quality rate is calculated. Additionally, systems and methods are provided to select an exit node with the highest quality and available capacity value, from a particular pool to route the user request.

Systems and methods for monitoring utilization rates of a plurality of network-connected databases; receiving a first data read request from a first user device for a data element stored in the plurality of network-connected databases; selecting a first target database among the plurality of network-connected databases based on the utilization rates and a load sharing ratios; generating a first data query for a copy of the data element stored in the first target database; and forwarding the copy of the data element from the first target database to the first user device in response to the first data read request.

Systems and methods for monitoring utilization rates of a plurality of network-connected databases; receiving a first data read request from a first user device for a data element stored in the plurality of network-connected databases; selecting a first target database among the plurality of network-connected databases based on the utilization rates and a load sharing ratios; generating a first data query for a copy of the data element stored in the first target database; and forwarding the copy of the data element from the first target database to the first user device in response to the first data read request.

Techniques implemented by a game-hosting service to place a load balancer between client devices engaged in a game session and servers that maintain state data for the game session. Rather than having a single server maintain state data and host the game session, the load balancer will broadcast action data received from the client devices to the server that is hosting the game session, or “primary server,” and also to a redundant server that is maintaining state data for the game session, or “secondary server.” Thus, if the primary server is unable to continue hosting the session, the secondary server may begin hosting the game session using the state data maintained for the game session. Further, by offloading the network input/output (I/O) tasks of communicating with the client devices from the server to the load balancer, the server can allocate larger amounts of resources to hosting game sessions.

Techniques implemented by a game-hosting service to place a load balancer between client devices engaged in a game session and servers that maintain state data for the game session. Rather than having a single server maintain state data and host the game session, the load balancer will broadcast action data received from the client devices to the server that is hosting the game session, or “primary server,” and also to a redundant server that is maintaining state data for the game session, or “secondary server.” Thus, if the primary server is unable to continue hosting the session, the secondary server may begin hosting the game session using the state data maintained for the game session. Further, by offloading the network input/output (I/O) tasks of communicating with the client devices from the server to the load balancer, the server can allocate larger amounts of resources to hosting game sessions.

Embodiments are directed towards systems and methods for selecting, in a Fifth Generation (5G) cellular telecommunication network, a User Plane Function (UPF) of a plurality of UPFs on which to anchor a Protocol Data Unit (PDU) session of a new user equipment (UE) newly appearing on the cellular telecommunication network. The selection is based on: a location of the new UE; a plurality of current loads for each UPF of the plurality of UPFs; a predicted UE load of the new UE based on network data analytics; and predicted UPF loads of the plurality of UPFs as a function of time considering the predicted UE load based on network data analytics from the Network Data Analytics Function. In the UPF selection, the Session Management Function (SMF) gives higher priority to shorter term predicted loads than longer term predicted loads. Also, in the UPF selection, the PDU session of the UE is preferred to attach on the UPF in the current serving area in which the UE is located.

Embodiments are directed towards embodiments are directed toward systems and methods for user plane function (UPF) and network slice load balancing within a 5G network. Example embodiments include systems and methods for load balancing based on current UPF load and thresholds that depend on UPF capacity; UPF load balancing using predicted throughput of new UE on the network based on network data analytics; UPF load balancing based on special considerations for low latency traffic; UPF load balancing supporting multiple slices, maintaining several load-thresholds for each UPF and each slice depending on the UPF and network slice capacity; and UPF load balancing using predicted central processing unit (CPU) utilization and/or predicted memory utilization of new UE on the network based on network data analytics.