International Business Machines Corporation

Yurdaer Nezihi Doganata

Lev Kozakov

Youssef Drissi

Asser Nasreldin Tantawi

Tong-Haing Fin

Francisco Phelan Curbera

Aleksander A Slominski

Moon Jung Kim

Genady Grabarnik

Moon Ju Kim

Axel Martens

Nirmal K Mukhi

Merve Unuvar

Huong Thu Morris

Chung-Sheng Li

Kevin Patrick McAuliffe

Sharon C Adler

Larisa Shwartz

Malgorzata Steinder

Mercan Topkara

Gregory T Brown

Geetika Tewari Lakshmanan

Thomas Anthony Cofino

Magda Mahmoud Mourad

David L Leigh

Roberto J Bayardo, Jr

James L Jones

Youssef Dressi

Juan-Leon Rodriguez

Juan L Rodriguez

David Angelo Ferrucci

Chatschik Bisdikian

Roberto Delima

Sheng Ma

Dikran S Meliksetian

Jonathan Paul Munson

Aysu Ezen Can

Giovanni Pacifici

Jun-Jang Jeng

Jurij R Paraszczak

Szabolcs Rozsnyai

Douglas Charles Lovell

Iqbal I Mohomed

John Williams Miller

Maria Eleftheriou

Juan Leon Rodriguez

Howard L Operowsky

A Steven Krantz

Juan Leon-Rodriquez

Ahmed Nasr-El-Din Tantawy

Franco Marconcini

Davood Shamsi

Noon Ju Kim

Galina Kofman

David Corbalan Luna

Jordi Cahue Mestre

Francisco Javier Noguera Pages

Marcelo Amaral

Mark H Overman

Mark Howard Overman

Natural language text and annotated text can be received. The annotated text can specify at least one anchor and at least one trigger contained in the natural language text and indicate a correspondence between the anchor and the trigger. The natural language text, the annotated text and at least one parse tree generated from the natural language text can be processed. Based on the processing, at least one natural language processing rule can be generated and output. The natural language processing rule can be configured to be executed by a processor to process other natural language text.

Generating rules for automated text annotation

Disclosed is a novel system and method for managing requests for an additional virtual machine. The method begins with operating at least one virtual machine accessing at least one computer resource associated with at least one physical machine within a computing cluster. One or more non-deterministic virtual machine requests for the computer resource are received. An over-utilization of the computer resource as a probability distribution function is modeled. In one example, the probability distribution function is a Beta distribution function to represent a one of a plurality of probability distribution functions. Next, an additional virtual machine on the physical machine associated with the computer resource is added in response to a probability of a utilization of the computer resource being greater than a probalistic bound on the over-utilization of the computer resource. Otherwise, the additional virtual machine is not added.

Adaptive algorithm for cloud admission policies

A method, computing system and computer program product are provided. A first entity system that stores sensitive information associated with different entities applies a hash function a portion of the sensitive information to produce hash values. Transaction information pertaining to transactions performed on entity systems are stored within a blockchain database accessible to the entity systems. The transaction information includes hash values corresponding to associated entities from the entity systems. The hash values of the first entity system are compared to the hash values from others of the entity systems to determine entity systems containing information pertaining to same entities. The sensitive information for an entity of the first entity system is exchanged with the determined entity systems containing information for that entity.

Creating match cohorts and exchanging protected data using blockchain

An information processing system, a computer readable storage medium, and a method to detect and block a robot data aggregator from accessing a website. A method includes defining a set of important features of business operations associated with users using a website. A feature value for each important feature is extracted from collected session data of a user session using the website. A user classifier classifies the user session as being with a human user or a robot user. Based on the classifying, access to the website by a robot user is blocked. Training user session data is also generated from the collected user session data thereby the user classifier learns and improves accuracy and reliability in detecting the type of user in a user session.

Method and system to detect and interrupt a robot data aggregator ability to access a website

In one aspect, a method for identifying software development teams causing operation incidents when changing and deploying code is provided. The method includes the steps of: collecting data regarding i) a number of deployed change requests for each of the software development teams and ii) a total number of incident reports; generating a time series for the number of deployed change requests for each of the software development teams and a time series for the total number of incident reports created; performing causality testing between the time series for the number of deployed change requests for each of the software development teams and the time series for the total number of incident reports created; and determining whether the total number of incident reports created can be expressed in terms of the number of deployed change requests for any of the software teams.

Identifying cause of incidents in the DevOps environment automatically

Techniques for workload management in cloud computing infrastructures are provided. In one aspect, a method for allocating computing resources in a datacenter cluster is provided. The method includes the steps of: creating multiple, parallel schedulers; and automatically selecting a resource allocation method for each of the schedulers based on one or more of a workload profile, user requirements, and a state of the datacenter cluster, wherein an optimistic resource allocation method is selected for at least a first one or more of the schedulers and a pessimistic resource allocation method is selected for at least a second one or more of the schedulers. Due to optimistic resource allocation conflicts may arise. Methods to resolve such conflicts are also provided.

Selecting resource allocation policies and resolving resource conflicts

A document corpus is annotated by given annotators and aggregates of the given annotators to generate a corpus of pre-annotated documents with given annotations. The same document corpus is annotated by a subject annotator to have subject annotations. The subject annotations are decomposed into superpositions of the given annotations. The decomposed subject annotations are mapped to a most representative superposition of the given annotations. The subject annotator may be mapped to the aggregate of given annotators corresponding to the most representative superposition.

System and method of automatically mapping a given annotator to an aggregate of given annotators

Disclosed is a novel system and method for managing requests for an additional virtual machine. The method begins with operating at least one virtual machine accessing at least one computer resource associated with at least one physical machine within a computing cluster. One or more non-deterministic virtual machine requests for the computer resource are received. An over-utilization of the computer resource as a probability distribution function is modeled. In one example, the probability distribution function is a Beta distribution function to represent a one of a plurality of probability distribution functions. Next, an additional virtual machine on the physical machine associated with the computer resource is added in response to a probability of a utilization of the computer resource being greater than a probabilistic bound on the over-utilization of the computer resource. Otherwise, the additional virtual machine is not added.

Systems and methods for determining a representation of an execution trace include identifying at least one execution trace of a business process model, the business process model including parallel paths where a path influences an outcome of a decision. Path information of the business process model is determined using a processor, the path information including at least one of task execution order for each parallel path, task execution order across parallel paths, and dependency between parallel paths. A path representation for the at least one execution trace is selected based upon the path information to determine a representation of the at least one execution trace.

Leveraging path information to generate predictions for parallel business processes

Provenance techniques are disclosed for managing a history of a meeting. For example, a method for managing a history associated with a meeting comprises the following steps. Data associated with the meeting is collected. Provenance data is generated based on at least a portion of the collected data, wherein the provenance data is indicative of a lineage of one or more data items. A provenance graph is generated that defines a visual representation of the generated provenance data, wherein graph elements comprise one or more nodes and one or more edges between nodes, wherein nodes of the graph represent records associated with the collected data and edges of the graph represent relations between the records. One or more applications are associated with at least one graph element and are selectable to invoke functionality. The generated provenance graph is stored in a repository for use in analyzing the meeting.

Management of a history of a meeting

Techniques are disclosed for capturing and visualizing data lineage in content management systems. For example, a method comprises the following steps. A plurality of data sets is received. Each of the data sets is associated with a party and comprises a plurality of information. A set of lineage data about one or more of the data sets is received. The lineage data comprises information about the history of a particular data set. A user interface is presented that conveys a representation of one or more of the plurality of received data sets and at least a portion of the lineage data about the history of one or more of the data sets. A command is received at the user interface to merge or unmerge two data sets in the plurality of data sets. Two or more data sets in the plurality of data sets are merged or unmerged based on the received command.

Capturing and visualizing data lineage in content management system

Techniques are disclosed for extracting information through analysis of provenance data. For example, a computer-implemented method of extracting information regarding an execution of an enterprise process comprises the following steps. Provenance data is generated, wherein the provenance data is based on collected data associated with an actual end-to-end execution of the enterprise process and is indicative of a lineage of one or more data items. A provenance graph is generated that provides a visual representation of the generated provenance data, wherein nodes of the graph represent records associated with the collected data and edges of the graph represent relations between the records. At least a portion of the generated provenance data from the graph is analyzed so as to extract information about the execution of the enterprise process based on the analysis.

Extracting enterprise information through analysis of provenance data

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Chestnut Ridge, NY, United States of America

Yurdaer Nezihi Doganata