International Business Machines Corporation

Vijay Krishnarao Naik

Ajay Mohindra

Kirk Alan Beaty

Ashish Kundu

Murthy V Devarakonda

Biplav Srivastava

John Arthur Pershing, Jr

William Francis Jerome

Holger Reinhardt

Jose Eduardo Moreira

Krishna Kummamuru

Pradeep Varma

Sameh Afif Fakhouri

Vijay A Kumar

David Bruce Lindquist

Liana Liyow Fong

Kattamuri Ekanadham

Gerd Breiter

Daniel Manuel Dias

Tushar Deepak Chandra

Guruduth Somasekhara Banavar

Yasuharu Katsuno

Srirama Mandyam Krishnakumar

Ajay Raina

Netta M Shani

Marc-Thomas H Schmidt

John G Buckley

Julia L O'Halloran

Florence Adam

Li Feng Zhang

Maja Vukovic

Marie Angelopoulos

Dimitrios Pendarakis

Hui Lei

Divyesh Jadav

Liangzhao Zeng

Rahul Ghosh

David R Safford

Kenneth Alan Goldman

Norbert George Vogl

Nicholas C M Fuller

Inderpal Singh Narang

Yih-Shin Tan

Prasad Manikarao Deshpande

Arup Acharya

Peter Richard Badovinatz

Giovanni Pacifici

Daniela Rosu

Shu Tao

Prashant Pandey

Stefan Berger

David Breitgand

Upendra Sharma

Shilpa N Mahatma

Balaji Krishnapuram

Kalman Zvi Meth

Nithya Rajamani

Faisal Farooq

Adnan M Agbaria

Amir Epstein

Jayaram Kallapalayam Radhakrishnan

Claude Alexander Greengard

Simon J Kofkin-Hansen

John Joseph Edward Turek

Graeme Neville Dixon

Raghavendra Uppinakuduru Udupa

Michal Ozery-Flato

Vitthal Mahadeo Gogate

Nagraj Alur

Leemor M Yuravlivker

Peter B Badovinatz

Brendan Shea

Daniel Marom

Ahmed-Sameh Afif Fakhouri

A mechanism is provided in a data processing system to implement a feature extraction tool for graphical user interface based feature extraction. The feature extraction tool receives selection by a user of a dataset from which features are to be extracted. The feature extraction tool loads a plurality of feature definitions. The feature extraction tool generates a graphical user interface that allows the user to add features from the plurality of features to a feature file. The feature extraction tool presents the graphical user interface to the user and receives user selection of at least one feature to be added to the feature file. The feature extraction tool generates the feature file based on the user selection of the at least one feature.

Graphical user interface based feature extraction application for machine learning and cognitive models

Examples of techniques for deploying an application on a cloud environment satisfying integrity and geo-fencing constraints are disclosed herein. A computer implemented method may include: receiving a guest application for deployment on a cloud environment; receiving the integrity constraints on the integrity of each of the plurality of host where the application is to be deployed; receiving geo-fencing constraints identifying a geographic location where the guest application is to be deployed; determining for which of the plurality of hosts the integrity constraints and the geo-fencing constraints are satisfied; and deploying the guest application on at least one of the plurality of hosts that satisfy the integrity constraints and the geo-fencing constraints.

Application deployment and monitoring in a cloud environment to satisfy integrity and geo-fencing constraints

Managing a service is provided. Information is collected about use of a set of resources by the service. A request is received to verify information regarding a selected portion of a period of time during the use of the set of resources by the service. A description of the use of the set of resources by the service during the selected portion of the period of time is generated using the collected information in response to receiving the request to verify the information regarding the selected portion of the period of time during the use of the set of resources by the service. A response to the request is created using the generated description of the use of the set of resources by the service during the selected portion of the period of time as proof of validity of the information.

Secure metering and accounting for cloud services

Managing a service is provided. Information is collected about use of a set of resources by the service. A request is received to verify information regarding a selected portion of a period of time during the use of the set of resources by the service. In response to receiving the request to verify the information regarding the selected portion of the period of time during the use of the set of resources by the service, a description of the use of the set of resources by the service during the selected portion of the period of time is generated using the collected information. A response to the request is created using the generated description of the use of the set of resources by the service during the selected portion of the period of time as proof of validity of the information.

A hybrid cloud environment is provided where a user of cloud computing services is disposed to consume cloud provided services delivered by each of a plurality of cloud computing service providers. Specified event data is received at an MCS component. The event data pertains to metering events related to the cloud provided services delivered by one or more cloud service providers. Event data include event data furnished by one or more entities that actively monitor metering events at one or more local or remote cloud service provider locations. Event data are sent from the MCS component to a metering system. The metering system generates reports from the event data that contains usage information on services provided by one or more cloud service providers. Information for a provider specifies amounts and quality of each type of service delivered to users by the provider.

Integrated metering of service usage for hybrid clouds

Dynamically adjusting the parameters of a parallel, distributed job in response to changes to the status of the job cluster. Includes beginning execution of a job in a cluster, receiving cluster status information, determining a job performance impact of the cluster status, reconfiguring job parameters based on the performance impact, and continuing execution of the job using the updated configuration. Dynamically requesting a change to the resources of the job cluster for a parallel, distributed job in response to changes in job status. Includes beginning execution of a job in a cluster, receiving job status information, determining a job performance impact, requesting a changed allocation of cluster resources based on the determined job performance impact, reconfiguring one or more job parameters based on the changed allocation, and continuing execution of the job using the updated configuration.

Dynamic parallel distributed job configuration in a shared-resource environment

An embodiment is directed to a hybrid cloud environment wherein a user of cloud computing services is disposed to consume cloud provided services delivered by each of a plurality of cloud computing service providers. Specified event data is received at an MCS component, wherein the event data pertains to metering events related to consumed services delivered by one or more cloud service providers. Event data includes event data furnished by one or more entities that actively monitor metering events at one or more local or remote cloud service provider locations. Event data is sent from the MCS component to a metering system, and the metering system generates reports from the event data that contains usage information on services provided by one or more cloud service providers, wherein information for a provider specifies amounts and quality of each type of service delivered to users by the provider.

A cloud access manager obtains input regarding access control for at least one application deployed on a plurality of virtual machine instances in a cloud computing environment; the virtual machine instances are divided into at least first and second access zones. A cloud access manager registrar located in the cloud computing environment registers internet protocol addresses of external clients as seen from the cloud computing environment; at least some of the addresses are assigned to the clients via network address translation (NAT). Session traversal utility for NAT (STUN) is carried out to determine public internet protocol addresses assigned to the clients via NAT. The cloud access manager controls (i) access of the external clients to the plurality of virtual machine instances; and (ii) access of the plurality of virtual machine instances to each other, based on the registered internet protocol addresses, in accordance with the access zones.

Network-level access control management for the cloud

A method, apparatus, and computer program product for managing a service is disclosed. A computer system collects information about the use of a set of resources by the service. Responsive to receiving a request to verify information about the use of the set of resources by the service, the computer system generates a description of the use of the set of resources by the service using the information collected. The computer system then creates a response to the request using the generated description of the use of the set of resources by the service as proof of the validity of the information.

A system and method for correlating events in data processing resources processing a workload. An event correlation service comprising an event correlation service software framework is provided on a processor unit. The event correlation service is configured, using the event correlation service software framework, for correlating the events from monitored data for the workload, wherein the workload is processed using the data processing resources provided by a provider of the data processing resources. The event correlation service receives monitored data for the workload as the workload is being processed. The monitored data is processed by the event correlation service to identify an occurrence of an event of interest for the workload as the workload is being processed. An output is provided in response to identifying the occurrence of the event of interest.

Data processing environment event correlation

A method, apparatus, and computer program product for providing security and network isolation for service instances comprising data processing resources provided as a service by a provider of data processing resources. Individual service instances may be associated as members of one or more security zones. The security zones comprise security policies that define access of each service instance that is a member of a security zone.

Virtual security zones for data processing environments

Integrating data processing resources across a hybrid cloud includes providing a plug-in software component configured to be installed in a software framework. When the plug-in software component is activated, it may generate an interface for a consumer of data processing resources. Using this interface, the consumer of data processing resources may request the use of data processing resources provided as a service on the hybrid cloud. In response, the plug-in software component may acquire the requested data processing resources via interfaces provided by the various data processing resources. A number of different data processing resources may have different interface requirements. However, the first interface generated by the plug-in software component may provide a single vendor neutral interface for accessing data processing resources on the hybrid cloud by the consumer of data processing resources.

Hybrid cloud integrator plug-in components

A system and method for controlling an integration of data processing resources. A first graphical element corresponding to a first endpoint node is displayed, wherein the first endpoint node corresponds to first data processing resources in a data processing environment. A second graphical element corresponding to a second endpoint node is displayed, wherein the second endpoint node corresponds to second data processing resources in the data processing environment, wherein the second data processing resources comprise data processing resources provided as a service by a provider of data processing resources. A third graphical element corresponding to an integration node is displayed. An arrangement of the first graphical element, the second graphical element, and the third graphical element is displayed, wherein the arrangement depicts integration of the first data processing resources and the second data processing resources by the integration node.

Data processing environment integration control interface

A hybrid cloud integrator provides a capability for integrating data processing resources provided as services across a hybrid cloud. The hybrid cloud integrator includes a software framework that provides for installing, configuring, activating, and controlling operation of a number of plug-in software components. The plug-in software components are configured to provide for using data processing resources provided as a service to process a consumer workload.

Hybrid cloud integrator

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Pleasantville, NY, United States of America

Vijay Krishnarao Naik