International Business Machines Corporation

Animesh Singh

Gregory J Boss

Jason L Anderson

Nimesh Bhatia

Jeffrey L Coveyduc

Shaun T Murakami

John Reif

Cindy Han Lu

Srinivas R Brahmaroutu

James P Busche

Thai Quoc Tran

Vincent A Belfoure

Tommy Chaoping Li

Saishruthi Swaminathan

A peer-to-peer decentralized software configuration manager is described. The peer-to-peer system provides a crowdsourced mechanism to determine and recommend the efficient software configurations. A computer system may subscribe to a ring or group of network connected computers. Once subscribed, the computer system receives a ring data structure that may include one or more software configuration entries. The ring data structure is accessible to each subscribed computer system to the currently installed software configurations and document the relative success or failure of those configurations. The ring data structure may be utilized to identify a more efficient or user friendly software configuration that is currently installed and utilized by a subscribed computer system.

Decentralized management of software configurations

A computer-implemented method, a computer system and a computer program product generate a custom display for a virtual meeting. The method includes obtaining a plurality of virtual meeting information from a server. The method also includes capturing virtual meeting session data with a device. The virtual meeting session data is selected from a group consisting of audio data, video data and images of a screen of the device. The method further includes determining a current virtual meeting status and a participant emotion based on the virtual meeting session data and the plurality of virtual meeting information. In addition, the method includes predicting a virtual meeting end time and a participant status based on the current virtual meeting status and the participant emotion. Lastly, the method includes displaying the virtual meeting end time and the participant status in a meeting dashboard on the device.

Status prediction for meetings and participants

A method, computer system, and a computer program product for user feedback visualization is provided. The present invention may include, receiving at least one image of a product from a user device. The present invention may also include, rendering a product representation of the product based on the received at least one image. The present invention may further include, registering a user-defined product feature associated with the rendered product representation. The present invention may also include, receiving a textual statement corresponding to a user opinion of the user-defined product feature. The present invention may also include, associating, based on natural language processing, at least one segment of the received textual statement with the registered user-defined product feature.

User feedback visualization

A processor may store a first version of an audio file and fragment the audio file into at least a first time segment. The processor may receive a first edit to the audio file and identify a first edited version of the first time segment in the first edit. The processor may update the first version of the audio file with the first edit, resulting in a second version of the audio file comprising the first edited version of the first time segment. The processor may receive a second edit to the first version of the audio file and identify a second edited version of the first time segment in the second edit. The processor may determine, based on the second edited version, that the second edit alters an outdated version of the first time segment, resulting in an edit conflict. The processor may notify a user of the conflict.

Resolution of edit conflicts in audio-file development

Embodiments directed toward a method, and a system. A method can be directed toward deciding whether to accept a virtual machine migration on a host. The method can include receiving a request to host a migrated virtual machine. The method can include determining if the host is overcommitted. The method can include selecting a low priority virtual machine in response to the host being overcommitted. The method can include determining if a resource for the low priority virtual machine can be reduced to accommodate the migrated virtual machine. The method can include reducing the resources for the low priority virtual machine in response to the resources being able to be reduced. The method can include accepting the request to host the migrated virtual machine in response to the reduction of the resources.

Management of virtual machine migration in an operating environment

An approach for generating a deployment pattern for reuse after the deployment of a set of virtual machines and related application artifacts in a networked computing environment (e.g., a cloud computing environment) is provided. In a typical embodiment, information associated with one or more previously provisioned application environments is derived and, after analyzing the information, a deployment pattern is created in the form of tangible artifacts which may be reuse for further deployments without the need to trace back the original procedures used to deploy the previously previsioned application environment.

Generating a deployment pattern for reuse in a networked computing environment

An approach is provided to provide a high availability (HA) cloud environment. In the approach, an active cloud environment is established in one cloud computing environment using a primary set of resources and a passive cloud environment is established in another cloud computing environment, with the passive cloud environment using fewer resources than are used by the active cloud environment. A workload is serviced by the active cloud environment. While servicing the workload, cloud commands are processed that alter the primary set of resources and the commands are stored in a queue. When a failure of the active cloud environment occurs, the workload is serviced by the passive cloud environment in the second cloud computing environment and the cloud commands stored in the queue are used to alter the resources used by the passive cloud environment.

Fractional reserve high availability using cloud command interception

A computer-implemented method, a computer program product, and a system for selecting a host from a plurality of host for an application pattern component using a service level agreement (SLA) requirement are provided. The computer-implemented method for selecting a host from a plurality of hosts for an application pattern component using a service level agreement requirement can include receiving the service level agreement requirement for the application pattern component. The method can include receiving a first capability metric of the host from the plurality of hosts. The method can include determining whether the first capability metric of the host from the plurality of hosts is sufficient for the service level agreement requirement. The method can include selecting the host in response to the host being sufficient for the service level agreement requirement.

Management of cloud provider selection

Embodiments of the present invention provide approaches for allowing management of a virtual machine (VM) by multiple cloud providers in a networked computing environment (e.g., a cloud computing environment). Specifically, in a typical embodiment, a system identifies a set of provisioned resources of a VM managed by a first cloud provider, generates a set of artifacts containing information for a second cloud provider to allow co-management of the VM by the first cloud provider and the second cloud provider, and provides access to the set of provisioned resources of the VM to the second cloud provider. As such, a single virtual machine may be managed by multiple (e.g., geographically distinct) cloud providers to cooperatively and selectively execute VM operations because the end product (i.e., VM) from the first and second cloud providers is the same.

Allowing management of a virtual machine by multiple cloud providers

Embodiments of the present invention relate to an approach for resolving and/or implementing policies based on layers of a network stack (e.g., cloud computing stack). Specifically, for a given policy that is being resolved, the system first evaluates the applicability of the policy to each layer in the network stack. For a given policy, the system then evaluates the relative effectiveness of applying the policy to achieve the overall goal of the policy. Based on the best fit evaluation of the relative comparison, the system then decides how and where the policy is enacted (e.g., determines a protocol for implementing the policy).

Policy implementation in a networked computing environment

An approach is provided for an information handling system to scale a workload being executed in a cloud computing environment. In the approach, performance of the workload is analyzed by using more than one resource configuration. The resource configurations use different resources that are available in the cloud computing environment. The analysis of the workload results in test results. At least one of the resource configurations is directed to a scaling up of resources that alters resources assigned to a first virtual machine (VM) running the workload. Another resource configuration is directed to a scaling out of resources that adds one or more VMs to a second VM creating a number of VMs running the workload. The test results are compared and an optimal test result is selected. A workload scaling profile is optimized according to the selected optimal test result.

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Santa Clara, CA, United States of America

Animesh Singh