International Business Machines Corporation

Simon Page

Andrew James Dunnings

Samuel B Hawker

Sean Cawood

Alex C Chatt

Uchendu Emmanuel Nnorom

Eunjin Lee

Andrew Hurt

Joseph Payne

A tool for controlling message distribution in a cooperative messaging environment (CME). The tool determines an availability of a plurality of messaging resources of a cooperative messaging environment (CME). The tool analyzes metadata associated with a first message from a first message producing application to determine an application property. Responsive to receiving a request from a first message consuming application to distribute the first message, the tool associates a first messaging resource of the CME with the first message consuming application. The tool distributes the first message to the first messaging resource of the CME from the first message producing application based, at least in part, on the availability of the plurality of messaging resources of the CME and the application property.

Cooperative messaging environments

Proposed are concepts for controlling message distribution in a cooperative messaging environment, CME. The method includes determining an availability of each of a plurality of messaging resources of the CME, each of the plurality of messaging resources being associated with one or more message consuming applications. The method further includes determining an application property for each of the one or more message consuming applications associated with each of the plurality of messaging resources. The method further includes controlling a distribution of a message from a message producing application to at least one of the plurality of messaging resources based, at least in part, on metadata associated with the message, the availability of each of the plurality of messaging resources, and the application property for each of the one or more message consuming applications associated with each of the plurality of messaging resources.

This present invention is directed towards a container orchestration method such as Kubernetes in which pods monitor themselves to determine if they are likely to require additional resources or vertical scaling within a given timeframe. If the pod determines that it will need additional processing power it notifies the state manager to begin allocating these resources on the same node or a different virtual or physical node before the CPU usage reaches 99%+. The state manager receives this request and allocates the necessary resources ahead of time. When the pod's CPU usage reaches 99%+, the state manager will remove the pod from the existing node and moves the application to the new pod on a different node in which sufficient resources are allocated. This invention brings about efficient utilization of nodes.

Method for managing and allocating resources in a clustered computing environment

This present invention is directed towards a container orchestration system such as Kubernetes in which pods monitor themselves to determine if they are likely to require additional resources or vertical scaling within a given timeframe. If the pod determines that it will need additional processing power it notifies the state manager to begin allocating these resources on the same node or a different virtual or physical node before the CPU usage reaches 99%+. The state manager receives this request and allocates the necessary resources ahead of time. When the pod's CPU usage reaches 99%+, the state manager will remove the pod from the existing node and moves the application to the new pod on a different node in which sufficient resources are allocated. This invention brings about efficient utilization of nodes.

Tool for managing and allocating resources in a clustered computing environment

In a transfer of tasks between devices in a network, a failing device determines that it will not complete a task. The failing device compares the requirements of the task with sets of device capabilities on a device list, where each set is associated with a device in the network. The failing device determines that the requirements of the task matches, a set of device capabilities associated with a given device, and in response, sends a request to transfer the given task to the given device. When a rejection of the request is received, the failing device compares the requirements of the task with remaining sets of device capabilities on the device list, determines that the requirements of the task matches a second set of device capabilities associated with a second given device, and in response, sends a second request to transfer the task to the second given device.

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Southampton, United Kingdom

Simon Page