Abstract: A method and associated systems for on-demand cellular-network bandwidth allocation in response to continuously changing populations of sensor devices. A sensor device adds itself to or deletes itself from a cluster of sensors. A physical controller that manages the cluster detects this change, identifies a resulting change in the cluster's bandwidth requirements, and stores this information in a local database. When such a sensor-population change satisfies a triggering condition, the controller requests that a network-management component of the cellular network adjust the controller's bandwidth allocation. The network-management component aggregates this and similar requests from all connected controllers in a global database, and when controller bandwidth requirements satisfy a second triggering condition, the component, using a standard API, asks the network-management component to reprovision the component's virtual bandwidth allocation.

Abstract: A method and associated systems for on-demand bandwidth allocation on a mixed-infrastructure network in response to continuously changing populations of sensor devices. Sensors autonomously add themselves to or delete themselves from sensor clusters available to the network. A physical cluster controller detects each change, identifies resulting changes in a cluster's bandwidth requirements, and stores this information in a local database. If a sensor-population change satisfies a triggering condition, the controller requests that a network-management component of the network adjust the controller's bandwidth allocation. The network-management component aggregates this and similar requests from all connected controllers in a global database, and when controller bandwidth requirements satisfy a second triggering condition, the component, using a standard API, asks the network-management component to reprovision the component's virtual bandwidth allocation.

Abstract: A method and associated systems for on-demand bandwidth allocation on a mixed-infrastructure network in response to continuously changing populations of sensor devices. Sensors autonomously add themselves to or delete themselves from sensor clusters available to the network. A physical cluster controller detects each change, identifies resulting changes in a cluster's bandwidth requirements, and stores this information in a local database. If a sensor-population change satisfies a triggering condition, the controller requests that a network-management component of the network adjust the controller's bandwidth allocation. The network-management component aggregates this and similar requests from all connected controllers in a global database, and when controller bandwidth requirements satisfy a second triggering condition, the component, using a standard API, asks the network-management component to reprovision the component's virtual bandwidth allocation.

Abstract: A method and associated systems for on-demand cellular-network bandwidth allocation in response to continuously changing populations of sensor devices. A sensor device adds itself to or deletes itself from a cluster of sensors. A physical controller that manages the cluster detects this change, identifies a resulting change in the cluster's bandwidth requirements, and stores this information in a local database. When such a sensor-population change satisfies a triggering condition, the controller requests that a network-management component of the cellular network adjust the controller's bandwidth allocation. The network-management component aggregates this and similar requests from all connected controllers in a global database, and when controller bandwidth requirements satisfy a second triggering condition, the component, using a standard API, asks the network-management component to reprovision the component's virtual bandwidth allocation.

Abstract: A method and associated systems for on-demand Internet of Things bandwidth allocation in response to changing sensor populations. An IOT sensor device adds itself to or deletes itself from a cluster of IOT sensors. A physical IOT controller that manages the cluster detects this change, identifies a resulting change in the cluster's bandwidth requirements, and stores this information in a local database. When such a sensor-population change satisfies a triggering condition, the controller requests that a cloud-based application server adjust the controller's bandwidth allocation. The server aggregates this and similar requests from all connected controllers in a global database, and when controller bandwidth requirements satisfy a second triggering condition, the server, using a standard API, asks the cloud-management platform to reprovision the server's virtual bandwidth allocation.

Abstract: A method and associated systems for on-demand Internet of Things bandwidth allocation in response to changing sensor populations. An IOT sensor device adds itself to or deletes itself from a cluster of IOT sensors. A physical IOT controller that manages the cluster detects this change, identifies a resulting change in the cluster's bandwidth requirements, and stores this information in a local database. When such a sensor-population change satisfies a triggering condition, the controller requests that a cloud-based application server adjust the controller's bandwidth allocation. The server aggregates this and similar requests from all connected controllers in a global database, and when controller bandwidth requirements satisfy a second triggering condition, the server, using a standard API, asks the cloud-management platform to reprovision the server's virtual bandwidth allocation.

Abstract: A method and associated systems for on-demand Internet of Things bandwidth allocation in response to changing sensor populations. An IOT sensor device adds itself to or deletes itself from a cluster of IOT sensors. A physical IOT controller that manages the cluster detects this change, identifies a resulting change in the cluster's bandwidth requirements, and stores this information in a local database. When such a sensor-population change satisfies a triggering condition, the controller requests that a cloud-based application server adjust the controller's bandwidth allocation. The server aggregates this and similar requests from all connected controllers in a global database, and when controller bandwidth requirements satisfy a second triggering condition, the server, using a standard API, asks the cloud-management platform to reprovision the server's virtual bandwidth allocation.

Abstract: A method and associated systems for on-demand Internet of Things bandwidth allocation in response to changing sensor populations. An IOT sensor device adds itself to or deletes itself from a cluster of IOT sensors. A physical IOT controller that manages the cluster detects this change, identifies a resulting change in the duster's bandwidth requirements, and stores this information in a local database. When such a sensor-population change satisfies a triggering condition, the controller requests that a cloud-based application server adjust the controller's bandwidth allocation. The server aggregates this and similar requests from all connected controllers in a global database, and when controller bandwidth requirements satisfy a second triggering condition, the server, using a standard API, asks the cloud-management platform to reprovision the server's virtual bandwidth allocation.

Abstract: A method and associated systems for on-demand Internet of Things bandwidth allocation in response to changing sensor populations. An IOT sensor device adds itself to or deletes itself from a cluster of IOT sensors. A physical IOT controller that manages the cluster detects this change, identifies a resulting change in the cluster's bandwidth requirements, and stores this information in a local database. When such a sensor-population change satisfies a triggering condition, the controller requests that a cloud-based application server adjust the controller's bandwidth allocation. The server aggregates this and similar requests from all connected controllers in a global database, and when controller bandwidth requirements satisfy a second triggering condition, the server, using a standard API, asks the cloud-management platform to reprovision the server's virtual bandwidth allocation.

Abstract: Aspects of the present invention provide an approach for facilitating a software-defined networking (SDN) communication in a container-based networked computing environment. In an embodiment, a SDN policy agent is created in the container-based networked computing environment. This SDN policy agent is created as a container virtual machine (VM) in the container-based networked computing environment. When a request is made by a VM to establish a SDN connection with the SDN controller for the server, the SDN controller forwards the request to the SDN policy agent. The SDN policy agent is responsible for determining whether the VM is eligible to establish the connection. If the SDN policy agent determines that the VM is eligible, the VM is allowed to become part of the SDN network.

Abstract: Aspects of the present invention provide an approach for facilitating a software-defined networking (SDN) communication in a container-based networked computing environment. In an embodiment, a SDN policy agent is created in the container-based networked computing environment. This SDN policy agent is created as a container virtual machine (VM) in the container-based networked computing environment. When a request is made by a VM to establish a SDN connection with the SDN controller for the server, the SDN controller forwards the request to the SDN policy agent. The SDN policy agent is responsible for determining whether the VM is eligible to establish the connection. If the SDN policy agent determines that the VM is eligible, the VM is allowed to become part of the SDN network.

Abstract: A method and associated systems for on-demand Internet of Things bandwidth allocation in response to changing sensor populations. An IOT sensor device adds itself to or deletes itself from a cluster of IOT sensors. A physical IOT controller that manages the cluster detects this change, identifies a resulting change in the cluster's bandwidth requirements, and stores this information in a local database. When such a sensor-population change satisfies a triggering condition, the controller requests that a cloud-based application server adjust the controller's bandwidth allocation. The server aggregates this and similar requests from all connected controllers in a global database, and when controller bandwidth requirements satisfy a second triggering condition, the server, using a standard API, asks the cloud-management platform to reprovision the server's virtual bandwidth allocation.