Disclosed herein are embodiments of a network monitoring device for a supercomputer system having a plurality of supercomputer nodes. The network monitoring device may utilize plug-in software modules to provide network monitoring capabilities related to discovering the network topologies of the supercomputer system, determining network and computing resources that are available for new applications in the supercomputer system, collecting network and computing resources that are being used by running software applications in the supercomputer system, and monitoring running software applications on the supercomputer system.

A method including obtaining parameters for a flow from a first network through a second network, the parameters including: a maximum protocol data unit volume PDUV.sub.max in the first network, a maximum flow bit rate MFBR in the second network, a guaranteed flow bit rate GFBR in the second network, and a maximum protocol data unit delay budget in the second network; deriving from the obtained parameters: a maximum delay a packet of the flow experiences in the second network, wherein the maximum delay is a sum of a maximum PDUV.sub.max dependent contribution and a maximum PDUV.sub.max independent contribution, a minimum delay the packet experiences in the second network, wherein the minimum delay is a sum of a minimum PDUV.sub.max dependent contribution and a minimum PDUV.sub.max independent contribution.

Mobility service providers and others can use cloud platforms to meet customer demand. Due to changing demand or changing technology numerous issues arise. For example, server utilization within the cloud platform can become less efficient over time. As another example, virtual machines and virtual network functions processed by the cloud platform typically need to be extensively tested and certified, which can be expensive. Moreover, intra-platform communication can play a significant role in the costs to operate a cloud platform. Techniques detailed herein can address many of these issues, e.g., by providing mechanisms for increasing host or server utilization in response to changing demand, introducing a container technique for virtual machines to mitigate testing costs, and modeling bandwidth resources.

A cloud service provider network may receive, from a cloud subscriber device, a request to access an application, wherein the cloud service provider network includes a split interface associated with the cloud subscriber device. The cloud service provider network may provide, to the cloud operator device, the request to access the application, wherein the cloud operator device stores the application. The cloud service provider network may receive, from the cloud operator device, the application, based on the request to access the application. The cloud service provider network may provide the application to the cloud subscriber device via the application interface of the split interface, wherein the connectivity interface connects the cloud subscriber device and the cloud operator device so that the application is provided to the cloud subscriber device via the application interface.

A cloud service provider network may receive, from a cloud subscriber device, a request to access an application, wherein the cloud service provider network includes a split interface associated with the cloud subscriber device. The cloud service provider network may provide, to the cloud operator device, the request to access the application, wherein the cloud operator device stores the application. The cloud service provider network may receive, from the cloud operator device, the application, based on the request to access the application. The cloud service provider network may provide the application to the cloud subscriber device via the application interface of the split interface, wherein the connectivity interface connects the cloud subscriber device and the cloud operator device so that the application is provided to the cloud subscriber device via the application interface.

As described herein, a system, method, and computer program are provided for orchestrating re-provisioning of network subscriber dedicated network slices. A request is received from an entity for use of a network. Network slice information indicating a plurality of slices of the network dedicated to a plurality of network subscribers is accessed. Provisioning of one of more slices of the plurality of slices to the entity is orchestrated, according to the request.

A method for operation of a broadband access network of a telecommunications network includes: in a first step, a program or configuration information is provided to or received by an orchestrator node or functionality; in a second step, subsequent to the first step, at least one piece of program or control information is provided or transmitted to at least one programmable network node; and in a third step, subsequent to the second step, the at least one piece of program or control information is activated to be executed by the at least one programmable network node.

A representation of a workflow comprising a plurality of tasks is obtained. An execution of an instance of the workflow is initiated. The execution comprises selecting, with respect to a particular task of the workflow, a particular execution resource option from a set comprising at least a first execution resource option and a second resource execution option. A result of the execution is stored.

Techniques for deploying, monitoring, and modifying network topologies operating across multi-domain environments using formal models and weighting factors assigned to computing elements in the network topologies. The weighting factors restrict or allow the movement of various computing elements and/or element groupings to prevent undesirable disruptions or outages in the network topologies. Generally, the weighting factors may be determined based on an amount of disruption experienced in the network topologies if the corresponding computing element or grouping was migrated. As the amount of disruption caused by modifying a particular computing element increases, the weighting factor represents a greater measure of resistivity for migrating the computing element. In this way, topology deployment systems may allow, or disallow, the modification of particular computing elements based on weighting factors. Thus, the amount of disruption in the functioning of network topologies may be considered when optimizing the allocation of computing elements across multi-domain environments.

Techniques for deploying, monitoring, and modifying network topologies operating across multi-domain environments using formal models and weighting factors assigned to computing elements in the network topologies. The weighting factors restrict or allow the movement of various computing elements and/or element groupings to prevent undesirable disruptions or outages in the network topologies. Generally, the weighting factors may be determined based on an amount of disruption experienced in the network topologies if the corresponding computing element or grouping was migrated. As the amount of disruption caused by modifying a particular computing element increases, the weighting factor represents a greater measure of resistivity for migrating the computing element. In this way, topology deployment systems may allow, or disallow, the modification of particular computing elements based on weighting factors. Thus, the amount of disruption in the functioning of network topologies may be considered when optimizing the allocation of computing elements across multi-domain environments.