International Business Machines Corporation

Airbnb, Inc.

Soumitra Sarkar

Ruchi Mahindru

Yu Deng

Harigovind Venkatraj Ramasamy

Long Wang

Rafah A Hosn

Mahesh Viswanathan

Norbert George Vogl

Diane Phylis Pozefsky

Michael Man Behrendt

Murthy V Devarakonda

Prasenjit Sarkar

Kaoutar El Maghraoui

Willibald A Doeringer

Allan K Edwards

Roger D Turner

Kathryn Heninger Britton

Lakshminarayanan Renganarayana

Nithya Rajamani

Rongda Zhu

Russell W Bergs

Johny Mathew

Matthew R Koozer

Qi Cheng Li

John Alan Bivens

Richard Edwin Harper

David Lynn Merbach

Sudhir Gurunandan Rao

Glen Hattrup

Harold D Dykeman

Mark James Seaman

Douglas H Dykeman

Tein-Yaw David Chung

Daniel Earl Poirier

Ahmed Mohammad Bashir

Ashmi Ashokkumar Chokshi

Maja Vukovic

Frank Bernhard Schmuck

John Raithel Hind

Xin Zhou

Tara Lynn Astigarraga

Anca Sailer

Shao Chun Li

Yongcheng Li

Alfio Massimiliano Gliozzo

Sandeep Gopisetty

Douglas J Griffith

Yi Zhou

Yih-Shin Tan

Marcia Lambert Peters

Roger Lee Haskin

Theodore Brian Vojnovich

Salman Abdul Baset

Shah Mohammad Rezaul Islam

Chunqiang Tang

Yixin Diao

Chang Li

James P Gray

Dinesh Kumar Subhraveti

Craig Fulmer Everhart

Ea-Ee Jan

Felipe Knop

Steven Dale Ims

Myung Mun Bae

Sumant Padbidri

Karin Murthy

Joshua S Auerbach

Robert J Curran

Md Faisal Mahbub Chowdhury

Thomas K Clark

Lijun Mei

Nandakishore Kambhatla

Raghav Batta

John Joseph Bird

Gaetano Rossiello

Debapriyo Majumdar

Vijil Enara Chenthamarakshan

Shajith I Mohamed

Nicolas Rodolfo Fauceglia

Ronald Eugene Craig

Simon J Kofkin-Hansen

Bruce M Jackson

John H Wilson

Hongtan Sun

Harigovind Ramasamy

Raymond F Bird

Steven Wayne Pogue

Lian Xue Hu

Gregory Bollella

Jens Rathgeber

Vachaspathi Peter Kompella

Byungchul Tak

Daniel J Labrecque

Yue T Yeung

Cuong Manh Pham

Maria Rita Villari

Theodor Razvan Ionescu

Christopher Moss

Richard Christopher Smith

Winston W Chung

Embodiments of the present invention provide a computer system, a computer program product, and a method that comprises analyzing a performed query by identifying a plurality of indicative markers based on a pre-stored classification database associated with the performed query; generating a plurality of facets based on the analysis of the performed query; selecting at least two facets within the generated plurality of facets by determining a quantitative similarity value between each respective facet and the plurality of identified indicative markers associated with the performed query; dynamically ranking the selected facets by prioritizing the selected facets based on a calculated overall score associated with assigned weighted values for each selected facet in the generated plurality of facets using a supervised machine learning algorithm; and displaying the dynamically ranked facets within a user interface of a computing device associated with a user.

Dynamic facet ranking

Systems, devices, computer-implemented methods, and/or computer program products that facilitate software vulnerability analysis using relationship data extracted from disparate package-related sources. In one example, a system can comprise a processor that executes computer executable components stored in memory. The computer executable components can comprise a knowledge induction component and a vulnerability component. The knowledge induction component can populate a package ontology for a range of packages with relationship data extracted from a plurality of disparate package-related sources. The vulnerability component can identify an implicit vulnerability impacting the range of packages using the package ontology and a vulnerability record regarding an explicit vulnerability for a package within the range of packages.

Traversing software components and dependencies for vulnerability analysis

An example operation may include one or more receiving notifications from one or more monitoring agents, each notification comprising a monitoring agent identifier, one or more configuration changes, and a timestamp corresponding to each configuration change, identifying incremental configuration changes that may require a disaster recovery retest, requesting a partial disaster recovery retest comprising the incremental configuration changes, the partial disaster recovery retest providing test coverage for a subset of a full disaster recovery test plan, and providing a request to a blockchain network to store information for the received notifications to a shared ledger of the blockchain network.

Database optimized disaster recovery orchestrator

A base query having a plurality of base query terms is obtained. A plurality of problem log files are accessed. Words, contained in a corpus vocabulary, are extracted from the plurality of problem log files. Based on the words extracted from the plurality of problem log files, a first expanded query is generated from the base query. The corpus is queried, via a query engine and a corpus index, with a second expanded query related to the first expanded query.

Log-aided automatic query expansion approach based on topic modeling

Aspects of the invention include receiving, using a processor, a plurality of values of a performance indicator. A statistical analysis of the plurality of values of the performance indicator is performed, using the processor, to detect an anomaly pattern in the plurality of values of the performance indicator. A warning message about the detected anomaly pattern is sent to an alert recipient that is selected by a machine learning model trained to identify alert recipients based at least in part on detected anomaly patterns. Feedback about the warning message is received from the alert recipient. The feedback includes an interest of the alert recipient in receiving warning messages about the detected anomaly pattern. The machine learning model is updated based at least in part on the feedback.

Cognitive user interface for technical issue detection by process behavior analysis for information technology service workloads

A method, computer program product, and system for upgrading an IT system are provided. The method comprises: determining a plurality of existing components of the IT system; determining at least one user component based on a user requirement; building a structural topology of the IT system in accordance with the plurality of existing components and the at least one user component, the structural topology comprising the plurality of existing components, at least one connection among the plurality of existing components, and the at least one user component with its conditional connection, the conditional connection comprising the dependency of the at least one user component; and providing at least one upgrade recommendation for the IT system in accordance with the structural topology.

Upgrade of IT systems

An example operation may include one or more of receiving, by a disaster recovery orchestrator, configuration changes independent from a disaster recovery test schedule, from one or more monitoring agents at each of an information technology system, analyzing incremental configuration changes since a previous disaster recovery test for potential to limit a need for unnecessary disaster recovery retest, determining component level changes at each information technology system that impact disaster recovery test readiness, initiating a partial disaster recovery retest without regard to periodic disaster recovery test schedules, in response to incremental configuration changes that are at the information technology system component-level, and invoking a blockchain service to generate blockchain transactions, the blockchain transactions committing configuration changes, disaster recovery testing actions, and disaster recovery testing results to a shared ledger of a blockchain network.

Database optimized disaster recovery testing

Automatic teller machine network management control system executes a deterministic optimization process based on a deterministic forecasted withdrawal demand to determine a cash refill amount, and executes a stochastic simulation process to determine an overall automatic teller machine network management cost based on a stochastic forecasted withdrawal demand and the cash refill amount. The executing of the deterministic optimization process and the executing of the stochastic simulation process are iterated based on updated scaling parameter from the stochastic simulation process and the cash refill amount determined by the deterministic optimization process at current iteration until a termination threshold is met. A target scaling parameter that minimizes the overall automatic teller machine network management cost out of all iterations is determined, and target cash refill amount and time specification for refilling the automatic teller machine are determined based on executing the deterministic optimization process with the target scaling parameter.

Automated teller machine flow network and control system

A mechanism is provided for identifying patterns of a set of software applications instances from their documents. The computer-implemented method begins with constructing different attribute vector types using a knowledge ontology. The knowledge ontology captures semantics based on keywords associated with resource attributes derived from one or more documents related to at least a portion of these software application instances. A knowledge base is built from the attribute vector types and the documents of these application instances. These are merged into the knowledge base with the knowledge base previously built from previous software application instances. Analytics are performed on the knowledge base to identify at least one of common patterns of deployments, configurations, or other attribute vector types, or a combination thereof.

Identifying patterns of a set of software applications

Methods, systems, and computer program products for applying entity search techniques to expedite entitlement resolution in support services are provided herein. A computer-implemented method includes automatically processing multiple distributed data sources to identify data sources to be used in entitlement queries, identify data elements within each of the data sources, and implement search-enhancing features across the data sources; automatically searching the collection, in response to an entitlement query failure due to incorrect and/or missing data object values in a set of data object values input for the entitlement query, to identify alternate sets of values; applying a scoring algorithm to each of the alternate sets of values to generate a score that quantifies an amount of matching between each of the alternate sets and the set of data object values input in connection with the entitlement query; and outputting the alternate sets of values having the highest scores.

Applying entity search techniques to expedite entitlement resolution in support services

A method, system, and computer program product are disclosed for merging search results. In one embodiment, the method comprises identifying a query, splitting the query into sub-queries, and calculating information content for each of the sub-queries. This method also comprises executing each of the sub-queries to obtain a plurality of search results, and combining the search results based on the information content calculated for the sub-queries. In an embodiment, the execution of each of the sub-queries includes identifying a multitude of search results for at least one of the sub-queries; and the combining includes grouping said multitude of search results into a plurality of clusters, and computing a relevance score for each of said clusters. In the embodiment the combining further includes merging the clusters based on the relevance scores computed for the clusters as well as the information content calculated for the sub-queries.

Information theory based result merging for searching hierarchical entities across heterogeneous data sources

A method for creating a workflow using system administrator actions to resolve a system issue is provided. The method may include assigning a ticket to a category. The method may include capturing a first snapshot of a first system state of a machine before a system administrator begins a corrective action. The method may include capturing a second snapshot of a second system state of the machine after system administrator corrective action. The method may include creating a difference set based on a comparison of the first snapshot and the second snapshot. The method may include generating summaries of administrator action. The method may include dividing the summaries into groups of summaries. The method may include constructing a candidate workflow for each group. The method may include presenting the candidate workflow to a subject matter expert. The method may include storing the reviewed candidate workflow in a repository.

Extraction of system administrator actions to a workflow providing a resolution to a system issue

A system, a computer readable storage medium, and a method for determining a suggested component restart order in a computer system on a basis of one or more heuristic analyses of a plurality of input data. The method can include performing one or more sort or merge orders after one or more of each heuristic analysis, combining the one or more sort orders according to a weighting algorithm, generating a recovery dependency graph between each of the components of the computer system, and presenting the recovery dependency graph.

Heuristic process for inferring resource dependencies for recovery planning

Embodiments of the present invention provide systems and methods for the discovery of facets. A search query over sets of data (e.g., a set of documents) leads to search results. The search results are organized by facets. Responsive to receiving new queries, facets are dynamically extracted from the search results. Furthermore, user profiles are dynamically updated. The order of presentation of facets, as displayed in a graphical user interface, can be modified based on the extracted facets.

Dynamic faceted search

Growing community of inventors

Cary, NC, United States of America

Soumitra Sarkar