International Business Machines Corporation

Nagui Halim

Mark David Feblowitz

Anton Viktorovich Riabov

Zhen Liu

Hubertus Franke

Chung-Sheng Li

Pratap Chandra Pattnaik

Deepak Srinivas Turaga

Matt Richard Hogstrom

Brad L Brech

Michael D Williams

Scott W Crowder

Radha P Ratnaparkhi

Kay Schwendimann Anderson

Dimitrios Pendarakis

Daby Mousse Sow

Srinivasan Parthasarathy

David Bruce Lindquist

Genady Grabarnik

Jeffrey Alan Frey

Josyula R Rao

Balachandar Rajaraman

Rodney A Smith

Stefan Pappe

Grant W Wagner

Anand Ranganathan

Octavian Udrea

Shirin Sohrabi Araghi

Alain E Biem

Angela Marie Schuett

Joel Leonard Wolf

Yuan-Chi Chang

Pankaj Rohatgi

Joseph Phillip Bigus

Shai Halevi

Ronald Perez

Mark Steven Squillante

Paul Ashley Karger

Pau-Chen Cheng

Richard Pervin King

Trent Ray Jaeger

Michael Steiner

Edward John Pring

Gang Luo

Venkata Nagaraju Pavuluri

Timothy Rea Dinger

Li Feng Zhang

Renato John Recio

Arun Kwangil Iyengar

Charu Chandra Aggarwal

Frederick Douglis

Larisa Shwartz

Eugen Schenfeld

Parijat Dube

Yu-Cheng Hsu

Wei Fan

Joseph L Hellerstein

Achille Belly Fokoue-Nkoutche

Kavitha Srinivas

Olivier Verscheure

Bugra Gedik

Daniel Manuel Dias

Daniel Michael Kuchta

Asit Dan

Ramakrishnan Srikant

Yoonho Park

Henrique Andrade

John Arthur Pershing, Jr

John Michael Tracey

Eric P Bouillet

James R Giles

Paul Michael Dantzig

Xiaolan Zhang

Lisa Amini

Kirsten Weale Hildrum

James R H Challenger

David Alson George

Dilip Dinkar Kandlur

Laurent Schares

Deepak Rajan

John Davis Palmer

Marc A Taubenblatt

William H Tetzlaff

Ralf Rantzau

Rohit Wagle

Martin W Sachs

Linh Hue Lam

Long H Vu

Edith Gail Schonberg

Vibhore Kumar

Honghui Xia

Alexandre Valentinovich Evfimievski

Elizabeth Suzanne Richards

Daniel Manual Dias

Mark C Johnson

David Tao

Jinliang Fan

W Nathaniel Mills, Iii

Genady Ya Grabarnik

Frank N Eskesen

Techniques for scenario planning are provided. In one example, a computer-implemented method can comprise analyzing, by a device operatively coupled to a processor, content using a topic model. The content can be associated with a defined source and is related to one or more current events. The computer-implemented method can also comprise determining, by the device, one or more portions of the analyzed content that are relevant to one or more key risk drivers using a risk driver model. The computer-implemented method can also comprise aggregating, by the device, the determined one or more portions into one or more emerging storylines based on values of one or more attributes of the topic model.

Scenario planning and management

Scenario planning and risk management

An encoding system for encoding an event time series, the system including an inter-arrival time computing device configured to transform inter-arrival times between a plurality of input events into discrete time symbols and map the input events and the discrete time symbols using a dictionary to output a time gram representing a temporal dimension between a sequences of events.

Encoding for time grams

There is a computer program product and computer system that includes program instructions programmed to establish a security container describing a workload and a set of resources in a software-defined environment, the security container including a set of sub-containers that are self-describing sub-containers having associated metadata describing content of a respectively corresponding sub-container, each sub-container of the set of sub-containers respectively corresponds to a resource-divisible portion of the workload, the set of resources being required by the workload, wherein a sub-container of the set of sub-containers is an operating system sub-container; monitor the workload and the set of resources for security events; and responsive to identifying a security event, adjust isolation mechanisms provided by the plurality of sub-containers at various layers of a stack. The set of sub-containers represents an end-to-end run time environment for processing the workload using the set of resources.

Security within a software-defined infrastructure

There is a computer program product and computer system that includes program instructions programmed to identify, in a software-defined environment, a security container describing a workload and a set of resources required by the workload, the security container including self-describing sub-containers having associated metadata describing content of a respectively corresponding sub-container; determine, for the workload, a set of resource-divisible portions of the workload including a compute-resource portion; generate a plurality of sub-containers within the security container, a sub-container within the plurality of sub-containers being a self-describing sub-container having associated metadata describing the content of the sub-container representing only one resource-divisible portion, the sub-container being an operating system sub-container; and responsive to identifying a security event while processing the workload, adjust a security mechanism associated with the security container. The plurality of sub-containers represents an end-to-end run time environment for processing the workload.

Outcome-based adjustment of a software-defined environment (SDE) includes determining a business operation and a corresponding set of tasks to be performed in a software defined environment (SDE), establishing a first resource configuration to perform the corresponding set of tasks to achieve a business outcome target, determining a first resource cost for performing the corresponding set of tasks, assigning a priority level to tasks within the corresponding set of tasks, determining a set of performance indicators corresponding to a task having a first priority level, monitoring the SDE to identify a triggering event, responsive to identifying the triggering event, establishing a second resource configuration based, at least in part, on a performance level of a performance indicator in the set of performance indicators, the second resource configuration addressing the triggering event, and determining a second resource cost for performing the corresponding set of tasks according to the second resource configuration.

Outcome-based software-defined infrastructure

A method of analyzing physiological data streams. According to the method, physiological data is received into a computerized machine. The physiological data comprises numerical data and medical symptoms of a patient. Features are extracted from the physiological data based on development of the physiological data over a period of time. The features are converted into a textual representation using natural language generation. Input terms for an information retrieval system operating on the computerized machine are automatically generated based on the features. The input terms are input to the information retrieval system. A corpus of data is automatically searched to retrieve results to the input terms using the information retrieval system.

Hypothesis-driven, real-time analysis of physiological data streams using textual representations

A method and system for outcome-based adjustment of a software-defined environment (SDE) that includes establishing a link between a business outcome and a first resource configuration from software defined environment, establishing a monitoring mechanism for continuously measuring a current state of the SDE, using a behavior model of the SDE to anticipate, or forecast, a triggering event, and responsive to the forecast of a triggering event, using the behavior model to determine a second resource configuration to achieve the business outcome. The link includes at least one of a utility of services for the business outcome, a cost of a set of resources consumed by the first resource configuration, and a risk of the set of resources becoming unavailable.

A method for performing assisted knowledge discovery includes receiving a dataset. Each of a plurality of analytical techniques is applied to the received data set to generate a plurality of corresponding analytical results. A composite validation metric is applied to each of the plurality of analytical results. The composite validation metric is a single scoring/ranking function that is created from a plurality of different scoring/ranking functions. The plurality of analytical results is presented to a user arranged in accordance with the results of the applying the composite validation metric to each of the plurality of analytical results. A selection from the user from among the plurality of analytical results is recorded. The user's selection is used to modify the composite validation metric such that the analytical techniques responsible for generating the selected analytical result is scored/ranked more highly.

Ranking data analytics results using composite validation

An encoding system for encoding an event time series, the system including an inter-arrival time computing device configured to compute an inter-arrival time between a plurality of input events and computes a sequence of events, a transformation device configured to transform the inter-arrival time between the plurality of input events into discrete time symbols, and a mapping device configured to map the input events and the discrete time symbols using a dictionary to output a time gram.

Encoding system, method, and recording medium for time grams

There is a method and system that includes establishing a security container that describes a workload and a set of resources that corresponds to the workload in a software-defined environment, determining a set of security criteria for the security container, monitoring the workload and the set of resources for security events based, at least in part, upon the set of security criteria, and responsive to identifying a security event, adjusting one or more security mechanisms. The steps of monitoring and adjusting are operated within the software-defined environment.

There is a method and system for capability-based resource allocation in a software-defined environment that performs the following steps (not necessarily in the following order): (i) determining a set of capability characteristics for a plurality of workload resources within a software-defined environment; (ii) determining a set of workload components for a specified workload; and (iii) identifying a set of workload resources from the plurality of workload resources to allocate to the specified workload based, at least in part, on the set of capability characteristics corresponding to each workload within the set of workload resources. A workload component of the set of workload components has a unique set of workload characteristics.

Capability-based abstraction of software-defined infrastructure

A method of enabling compiler assisted parallelization of one or more stream processing operators in a stream processing application, which consists of a data flow graph with operators as vertices connected by streams. The method includes specifying a parallelized version of one or more of the operators, with a parameterized degree of parallelism, in the stream application, evaluating whether or not to use the parallelized operator, deciding the degree of parallelism of the parallelized operator, if there is a need for a parallelized operator.

System and method for compiler assisted parallelization of a stream processing operator

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Yorktown Heights, NY, United States of America

Nagui Halim