A processor may identify one or more sources. The processor may identify a respective requirement of each of the one or more sources. The processor may determine if a respective requirement is different than another respective requirement. The processor may locate each of the one or more sources in a respective slice on a different container available in a server of a network.

Techniques are described herein for generating network topologies based on models, and deploying the network topologies across hybrid clouds and other computing environments that include multiple workload resource domains. A topology deployment system may receive data representing a logical topology model, and may generate a network topology for deployment based on the logical model. The network topology may include various services and/or other resources provided by different tenants in the computing environment, and tenant may be associated with different set of resources and deployment constraints. The topology deployment system may determine and generate the network topology to use the various resources and comply with various deployment constraints of the different tenants providing the services, and the tenants consuming the network topology.

A method and system of task management in an internet of things (IoT)-edge network may be provided. The method may include assigning at least one deep neural network (DNN) task from an IoT device to a first edge device; determining whether the first edge device satisfies one of a first predetermined criteria and a second predetermined criteria during execution of the at least one DNN task; triggering an alarm to the IoT device based on the determination; identifying a second edge device subsequent to the triggering of the alarm; determining whether to transfer the at least one DNN task to the second edge device or to execute the at least one DNN task on the first edge device, based on determining that the first device satisfies the second predetermined criteria; and transferring the at least one DNN task to the second edge device, based on determining that the first device satisfies the first predetermined criteria.

A method for configuring a service node, a service node pool registrar, and a system are provided. The method includes receiving a service node query request sent by a management configuration device. The service node query request includes a service requirement. The service requirement is from a user or caused by a network change. The method further includes searching a service node database, to obtain service node information that matches the service node query request. The method further includes sending the matching service node information to the management configuration device, causing the management configuration device to perform network and service configuration on the matching service node according to network topology information that has been obtained and the matching service node information.

A method for configuring a service node, a service node pool registrar, and a system are provided. The method includes receiving a service node query request sent by a management configuration device. The service node query request includes a service requirement. The service requirement is from a user or caused by a network change. The method further includes searching a service node database, to obtain service node information that matches the service node query request. The method further includes sending the matching service node information to the management configuration device, causing the management configuration device to perform network and service configuration on the matching service node according to network topology information that has been obtained and the matching service node information.

An interactive system includes a terminal apparatus that is connected to a server apparatus via a network. The terminal apparatus requests the server apparatus to code a game image related to a game program. The server apparatus codes the game image related to the game program in response to an input operation signal from the terminal apparatus, and transmits coded moving image data of the game image to the terminal apparatus. The server apparatus includes an execution memory storing the coded moving image data requested by the terminal apparatus. In a case where communication with the terminal apparatus is stopped, the server apparatus suspends coding of the game image and holds the coded moving image data in the execution memory as suspended data.

An interactive system includes a terminal apparatus that is connected to a server apparatus via a network. The terminal apparatus requests the server apparatus to code a game image related to a game program. The server apparatus codes the game image related to the game program in response to an input operation signal from the terminal apparatus, and transmits coded moving image data of the game image to the terminal apparatus. The server apparatus includes an execution memory storing the coded moving image data requested by the terminal apparatus. In a case where communication with the terminal apparatus is stopped, the server apparatus suspends coding of the game image and holds the coded moving image data in the execution memory as suspended data.

Methods and systems for path selection involving remote access protocols and/or user behavior are described herein. A request, from a first computing device, for content hosted on a second computing device may be received. Based on network state metrics, remote access protocol metrics, and/or user experience metrics, a path of a plurality of paths between the first computing device and the second computing device may be selected. The path need not be the most direct path between the first computing device and the second computing device, and may comprise remote access to a computing device on an intermediary server. Based on user behavior analysis performed with respect to user input data, a path may be re-selected, and/or the network state metrics, remote access protocol metrics, and/or user experience metrics may be weighted.

A computer implemented system is described for assigning executable jobs to pipeline sets, whereby the jobs may be network based computer jobs. The assigning includes generating a weight for each pipeline set of multiple pipeline sets to obtain multiple weights. Generating a weight includes obtaining duty cycle metrics for pipeline software threads in the pipeline set. The duty cycle metrics include a measure of an amount of time that a corresponding pipeline thread is executing and actively processing data. Generating the weight further includes determining the weight for the pipeline set based at least in part on the duty cycle metrics. The method further includes assigning a job request to a target pipeline set selected from the pipeline sets according to a weighted random algorithm, wherein the weighted random algorithm uses the weights.

Embodiments of the present disclosure may provide dynamic and fair assignment techniques for allocating resources on a demand basis. Assignment control may be separated into at least two components: a local component and a global component. Each component may have an active dialog with each other; the dialog may include two aspects: 1) a demand for computing resources, and 2) a total allowed number of computing resources. The global component may allocate resources from a pool of resources to different local components, and the local components in turn may assign their allocated resources to local competing requests. The allocation may also be throttled or limited at various levels.