International Business Machines Corporation

Nimesh Bhatia

Gregory J Boss

Jason L Anderson

Animesh Singh

Cindy Han Lu

Thai Quoc Tran

Seyyed Vahid Hashemian

Tamer E Abuelsaad

Shaun T Murakami

Manuel Silveyra

Arnaud J Le Hors

Srinivas R Brahmaroutu

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 The processor may determine, based on the second edited version, that the second edit alters an outdated version of the first time segment, resulting in an edit conflict.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

Propagating information in a computer network, in one aspect, may include detecting an online action performed by a user on a content presented on a computer. The content may be annotated with an identifier. A semantic graph may be searched for a semantic node representing the identifier. The semantic graph may be searched for one or more other semantic nodes representing one or more other identifiers that meet a semantic similarity threshold based on weighted distances between the semantic node and the one or more other semantic nodes. One or more other users represented in a social graph may be determined that have interest in one or more topics represented by the identifier and the one or more other identifiers. The online action on the content may be propagated to the one or more other users.

Information propagation via weighted semantic and social graphs

A mechanism is provided in a data processing system for content delivery. The mechanism identifies a candidate user of a social networking service. The candidate user has an associated profile including at least one concept of interest. The mechanism determines a probability that the candidate user is interested in an item of content based on a semantic similarity of the at least one concept of interest and at least one concept tag associated with the item of content using a weighted semantic graph. Responsive to the probability exceeding a probability threshold, the mechanism delivers the item of content to the candidate user. Responsive to receiving feedback comprising at least one action taken by the candidate user with respect to the item of content, the mechanism adjusts weights in the weighted semantic graph.

Identification of target audience for content delivery in social networks by quantifying semantic relations and crowdsourcing

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 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

An embodiment of the invention provides a method where a file is displayed on a display screen of a mobile device; and, a pop-up is identified outside of the visible area on the display screen of the mobile device. The identification of the pop-up includes detecting a document object model change in the file, the presence of one or more non-active elements in the file, and/or a change in luminance in an area outside of the visible area on the display screen. A controller moves the pop-up to the visible area on the display screen, or the visible area on the display screen is moved to the pop-up.

Detection and repositioning of pop-up dialogs

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.

Dynamically move heterogeneous cloud resources based on workload analysis

A first device transfers a running application to a second device. A first device sends a request to transfer a running application to a second device. The second device determines whether the application is presently installed on the second device. The second device determines whether the application is an application designed to run on a platform of the second device. The second device then receives state information for the application from the first device. In response to receiving the state information, the second device executes a counterpart application utilizing the state information received from the first device.

Growing community of inventors

San Jose, CA, United States of America

Nimesh Bhatia