International Business Machines Corporation

Christopher Charles Young

Marco Aurelio Stelmar Netto

Marcos Dias De Assuncao

Lakshminarayanan Renganarayana

Jim Alain Laredo

Aleksander A Slominski

John Erik Wittern

Yunhui Zheng

Jinho Hwang

Sai Zeng

Brian L Peterson

John Joseph Rofrano

Xiaolan Zhang

Kristiann J Schultz

Annie T Ying

Annie Tsui Tsui Ying

Maja Vukovic

Birgit Monika Pfitzmann

Florian Graf

Dennis Anthony Perpetua, Jr

Yunwu Huang

Milton A Bonilla

In Kee Kim

David Kohen

Bo Yang

Julian Timothy Dolby

Fan Jing Meng

Robert Filepp

Frederick Y Wu

Karin Murthy

Pu Jin

Yun-Wu Huang

William J Hladik, Jr

Zhiming Shen

Lakshminaraya Renganarayana

Michael Montinarelli

Jose R Figueroa

A method and system of matching an application program interface (API) code usage with an API specification are provided. A program having an API code usage is received and its features are extracted therefrom. Features from meta data of a plurality of API specifications are extracted. For each API specification of the plurality of API specifications, a match probability with the API code usage is determined. An API specification having a highest probability is determined. The API code usage is matched with the API specification having the highest probability.

Probabilistic matching of web application program interface code usage to specifications

A computer implemented method for testing an application according to usage data includes receiving an application to be tested and a set of usage data corresponding to the application to be tested, wherein the set of usage data corresponds to previously executed code sequences, identifying one or more code sequences of interest corresponding to the received application, wherein the code sequences of interest correspond to codes sequences that are configured to exercise the received application, extracting concrete usages of the code sequence of interest from the received set of usage data, generating one or more test cases for the application according to the extracted usages, and providing the one or more generated test cases. The method may additionally include testing the application according to the one or more generated test cases.

Gray-box testing based on concrete usages

A method of providing a computing infrastructure based on virtual machines. An update is received from a software supplier, the update including one or more patches that at least one of correct bugs, correct security vulnerabilities, or introduce at least one new functionality for virtual machines using software of the software supplier for which the update affects and is applicable. It is determined, using a processor on a computer, whether a virtual machine image, stored in a library and used as a template for instantiating virtual machines and affected by the received update, should be updated immediately in accordance with the received update. The virtual machine image is updated if it is determined that such immediate update should be implemented.

System and method for determining when cloud virtual machines need to be updated

Techniques for autonomously generating a code usage summary associated with a web application programming interface request are provided. In one example, a computer-implemented method can comprise evaluating, by a system operatively coupled to a processor, data from a data repository, wherein the evaluating is based on a defined machine learning process. Also, the computer-implemented method can comprise generating, by the system, a usage summary of the data, wherein the usage summary is based on a statistic derived from a web application programming interface request, and the web application programming interface request is associated with the data.

Approach to summarize code usage

Various embodiments collect unproductive resources in a network infrastructure. In one embodiment, data relating to resources of a network infrastructure is collected. An analytics model is selected based on a type of the collected data. The selected analytics model is executed to classify a resource unproductive or productive, and to assign a corresponding confidence level. An action plan for each confidence level is determined and the action plan is executed for the resource. The collected data may include resource utilization information, hypervisor information, cloud related meta-data, user knowledge and system knowledge. When data is only resource data, a resource mining model is selected. When the data includes reference data, a reference mining model is selected. When the data comprises reference data and resource data, a combined mining model is selected.

Enterprise cloud garbage collector

A method, product, and apparatus for treating idle servers in a cloud system provide for extrapolating a purpose of each of a plurality of servers by comparing a list of processes active on the server to a plurality of lists of processes associated with a plurality of purposes; selecting vectors of idle/active features corresponding to the extrapolated purposes of each of the plurality of servers; classifying as idle or active each of the plurality of servers, by assessing the specified feature vectors using a linear support vector machine; validating as idle or active each server classified as idle, by assessing the connectivity of the server with all servers classified as active; and implementing at least one treatment option on servers that have been validated as idle. The treatment options may include terminating, terminating with snapshot, and stopping a virtual machine.

Managing idle and active servers in cloud data centers

A method and system of determining whether a specification is an accurate representation of an application program interface (API) is provided. The specification is received electronically over a network. Service calls to be tested are identified based on the specification. A test case is created for each of the identified service calls. A sequence is created for the test cases. A test plan is generated based on the created sequence. The generated test plan is executed. Upon identifying an error in response to the executed test plan, a notification is generated, indicating that the specification is not an accurate representation of the API.

Automatically running tests against WEB APIs based on specifications

A system, method and computer program product for allocating shared resources. Upon receiving requests for resources, the system determines whether there are any pending updates for a VM image for provisioning a virtual machine (VM) for the request. For each image with pending updates the system determines whether to replace the stored image with an updated VM image and provision from the replacement or, update a single instance of the image and provision from the single instance. The system also determines an optimal time to update images with pending updates. After replacing an image, the system provides an alert indicating that an updated said VM was provisioned.

System, method and program product for updating virtual machine images

A method to perform server provisioning on a plurality of computer systems to generate a plurality of target virtual machines includes: obtaining configurations from a pool comprising at least one existing candidate virtual server or server image through a discovery process; performing a clustering analysis on the configurations to group the configurations into at least two groups; and for each group, selecting a configuration from among the configurations of the group as a candidate virtual machine image; determining a cost of actions required to be performed on the candidate virtual image to result in target virtual machines with a same configuration as the configurations of the group; and selecting the candidate virtual image with the lowest cost.

Server build optimization

A method (and structure) for providing a computing infrastructure based on virtual machines. A virtual machine provisioning system, as executed by a processor on a network, receives a virtual machine request, as an input; retrieves a virtual machine image from a library of virtual machine images, to accommodate the virtual machine request; constructs an instantiated virtual machine from the selected virtual machine image by provisioning the selected virtual machine image to accommodate the virtual machine request; and outputs the instantiated virtual machine. An image update system determines an update timing for updating at least one of the virtual machine image and the virtual machine as instantiated, based on update costs.

A conformance checker is received on a system that contains hostable content, and is executed. One or more results provided by the conformance checker are evaluated; and the hostable content is migrated to a destination host in accordance with the evaluating step.

Specification-guided migration

At least one target virtual disk descriptor that describes at least one virtual disk associated with an existing target virtual machine in a target virtualized environment is merged with at least one source virtual disk descriptor that describes at least one virtual disk associated with a source. The merging is carried out to obtain at least one merged virtual disk descriptor compatible with the target virtualized environment. The at least one virtual disk associated with the existing target virtual machine in the target virtualized environment is replaced with the at least one virtual disk associated with the source, in accordance with the at least one merged virtual disk descriptor.

Replacing virtual machine disks

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Sleepy Hollow, NY, United States of America

Christopher Charles Young