International Business Machines Corporation

Chao Yu

Yi Bin Wang

Qing Feng Zhang

Jiang Tao Li

Zhong Qi Feng

Xin Yang

Xiao Bing Liu

Jin Rong Zhao

Ming Jin Chen

Xue Feng Gao

Kun Yan Yin

Hong Bing Zhang

Hui Qing Shi

Shi Xin Ruan

Nuo Xu

Teng Sun

Qiang He

De Shou Kong

Yuan Li

JinRong Zhao

Shen Qi

Mechanisms are provided to automatically identify a regression scope of a requirements specification for at least one functionality of a software product. A first knowledge graph, having function entities, is generated of the requirements specification specifying functional requirements for a software product and a first vector representation is generated for the function entities. Code entities for existing code for the software product are generated that comprise features associated with portions of the existing code, and a second vector representation is generated for these code entities. Code entities are linked to function entities based on a vector similarity analysis between the first vector representation and the second vector representation. A regression scope knowledge graph output is generated, based on the linked code entities and function entities, that depicts relationships between function entities corresponding to the functional requirements with code entities corresponding to portions of existing code for the software product.

Automated knowledge graph based regression scope identification

A computer-implemented method for annotating images is disclosed. The computer-implemented method includes generating a saliency map corresponding to an input image, wherein the input image is an image that requires annotation, generating a behavior saliency map, wherein the behavior saliency map is a saliency map formed from an average of a plurality of objects contained within respective bounding boxes of a plurality of sample images, generating a historical saliency map, wherein the historical saliency map is a saliency map formed from an average of a plurality of tagged objects in the plurality of sample images, fusing the saliency map corresponding to the input image, the behavior saliency map, and the historical saliency map to form a fused saliency map, and generating, based on the fused saliency map, a bounding box around an object in the input image.

Automatic image annotations

Methods, computer program products, and systems are presented. The methods include, for instance: predictively provisioning, by one or more processor, cloud computing resources of a cloud computing environment for at least one virtual machine; and initializing, by the one or more processor, the at least one virtual machine with the provisioned cloud computing resources of the cloud computing environment. In one embodiment, the predictively provisioning may include: receiving historical utilization information of multiple virtual machines of the cloud computing environment, the multiple virtual machines having similar characteristics to the at least one virtual machine; and determining the cloud computing resources for the at least one virtual machine using the historical utilization information of the multiple virtual machines. In another embodiment, the predictively may include updating a provisioning database with the historical utilization information of the multiple virtual machines of the cloud computing environment.

Predictively provisioning cloud computing resources for virtual machines

Flexible message transformation and delivery includes authenticating a message consumer for access to messages of a publisher, receiving from the consumer a service topology label identifying a service topology of a service of which the message consumer is a part, where the service topology label is used in controlling provision of messages to members of the service topology, identifying an authority label for the consumer, the authority label being associated with transformation(s) to apply to messages, and based on obtaining a message from the publisher for publishing to consumers that are members of the service topology: determining that the consumer is a member of the service topology, identifying the transformation(s) based on the identified authority label for the consumer; applying to the message the transformation(s) to obtain a transformed message, and providing the transformed message to the consumer.

Flexible message transformation and delivery

A method obtains a task tree for a deployment job to deploy application(s) to a compute infrastructure, the task tree indicating tasks to execute the deployment job. The method also obtains script(s) and configuration information for executing the script(s). The method simulates an installation process using the task tree and provides a refined task tree. The method invokes the installation process of the deployment job, the installation process including execution of the tasks of the deployment job and using the refined task tree. The method backtracks the installation process after recognizing an error, pausing the installation process and applying an adjustment to the refined task tree to resolve the error. The installation process resumes from a prior point using the refined task tree with the applied adjustment. Based on successful completion of the installation process, the method provides an adjusted refined task tree as an optimized task tree.

Intelligent software deployment on an IaaS platform

A method of migrating an application to a computing environment including: obtaining a service topology and a deployment sequence from an existing application; choosing a deployment preference, each deployment preference containing factors and a weight of each of the factors; outputting the service topology and the deployment preference; reading service records for the chosen service topology and deployment preference from a repository, the service records containing a value score and weight mapping information of each factor of each service record; performing a mock conversion of migrating the application to the computing environment; adjusting the value score and weight mapping of the service records according to the results of the mock conversion; responsive to a user choosing one service record representing a solution for migrating the application to the computing environment, generating files for the solution; and deploying the solution into the computing environment using the files.

Migration of applications to a computing environment

An apparatus for optimizing network traffic which includes a host computer having virtual machines (VMs); a monitoring module to collect network traffic data from the VMs; an analysis engine to receive the network traffic data from the monitoring module and to calculate metric values pertaining to the network traffic data; a pattern module to store network traffic patterns having metric values and to provide the network traffic patterns to the analysis engine, the analysis engine compares the calculated metric values to the network traffic pattern metric values and provides an output of a result of the compare of the calculated metric values to the network pattern metric values; and responsive to receipt of the output from the analysis engine, an optimization module processes the output and provides an optimization action to the VMs to improve the flow of the network traffic between the VMs.

Automatically optimizing network traffic

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Ningbo, China

Chao Yu