International Business Machines Corporation

Kyndryl, Inc.

Prodigy Services Company

Kyndral, Inc.

Robert Filepp

Kenneth H Appleman

Sam Meo

Alexander W Bidwell

Allan M Wolf

Duane E Tiemann

Francis C Young

Michael L Gordon

Lawrence Abrahams

Michael J Silfen

Sai Zeng

Brian L Peterson

Florence M Lee

Aldo R Dalsass

Milton H Hernandez

Mel Bellar

Maja Vukovic

Arun Kwangil Iyengar

Constantin Mircea Adam

Louis Degenaro

Richard Pervin King

Richard Jay Cohen

Bhavna Agrawal

James Robert Harold Challenger

Robert D Cohen

James A Galambos

Paul Michael Dantzig

Yixin Diao

James R H Challenger

Guan Zhang

Larisa Shwartz

Birgit Monika Pfitzmann

Harigovind Venkatraj Ramasamy

Ronald Mraz

Norbert George Vogl

Asit Dan

Muhammed Fatih Bulut

Alexander M Keller

Xiaolan Zhang

Nikolai A Joukov

Srinivas Babu Tummalapenta

Eric James Barkie

Frederick Y Wu

Daniela Rosu

Christopher Charles Young

Trieu Can Chieu

Lakshminarayanan Renganarayana

Kamal Bhattacharya

Jing Luo

Daniel S Riley

Frank Bagehorn

Steven Ocepek

William J Hladik, Jr

Colm V Malone

Kevin David Galloway

Kewei Sun

Karen Cheng

Saurabh Jha

Jesus M Rios Aliaga

Kavitha Ranganathan

Yew-Huey Liu

Robert D Kearney

Ratnasagar M Ramaratnam

Brian Peterson

Guan Qun Zhang

James R S Barros, Ii

David L Westerman

Christopher C Young

Douglas M Barlett

Harish Dindigal

James A Galambos, Deceased

Bo Forsberg

Jose R Figueroa

Florence L Wong

Duane Tiemann

Mechanisms are provided that detect an anomaly in performance of a hybrid application based on a specification of required performance and collected passive monitoring data, and that generate a causal generative model based on relationships between hybrid application components and computing system architecture components extracted from the passive monitoring data. Root cause identification (RCI) logic is executed on the causal generative model to identify a set of candidate root causes of the detected anomaly. One or more probes are identified for active monitoring data collection targeting the identified set of candidate root causes, which are then executed to collect probe data. Reinforcement learning is performed of the RCI logic to update the RCI logic based on the probe data. The set of candidate root causes is updated based on the reinforcement learning.

Root cause identification in hybrid applications via probing

Systems and techniques that facilitate automated health-check risk assessment of computing assets are provided that can generate a baseline health-check risk score that corresponds to non-compliance of a computing asset with a stipulated control, and can adjust the baseline health-check risk score based on a weakness factor of the stipulated control, an environmental factor of the computing asset, a criticality factor of the computing asset, and a maturity factor of the computing asset.

Automated health-check risk assessment of computing assets

Users of an endpoint remediation system can be assigned to different roles, from which they can request exceptions, approve exceptions, and/or enable remediation on endpoint devices. The compliance scanning and enforcing process can be automated, while allowing entities to request and/or approve certain exceptions. Therefore, security compliance for customers can be actively managed to provide visibility to the endpoint device compliance state at any time.

Testing and remediating endpoint device compliance controls

Testing and remediating compliance controls

A method of checking file system compliance including receiving a plurality of compliance rules corresponding to a file system of a production system, collecting, by a collector, file system meta data from the file system, analyzing, by an analyzer, the file system meta data using the plurality of compliance rules to determine at least one compliance deviation of the file system, and throttling the collector and the analyzer independently of one-another, wherein the collector and the analyzer are configured according to a model of performance for the production system and a schedule for the collection and analyzing.

File system compliance checking

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

Systems and methods for computer automated validation of server configurations are provided. A method for validation of a target environment, comprises assembling a validation script from a plurality of script fragments, inserting the assembled validation script into the target environment, executing the validation script in the target environment, gathering results of the executing, and reporting the results to at least one user.

Server validation with dynamic assembly of scripts

The present invention describes a method and system for preparing a migration and consolidation of at least one source application to be migrated to or consolidated in at least one heterogeneous server device. A computing system selects at least one prospective target platform component based on an evaluation of at least one source platform component, a requirement of the at least one source application, and a compatibility and an affinity of the at least one prospective target platform component. The computing system collects first metadata of the at least one source platform component and the at least one prospective target platform component. The computing system collects second metadata associated with the migration and consolidation. The computing system groups the first metadata and the second metadata into a RFM (Request For Migration). The computing system prepares and configures a final target platform in accordance with the RFM.

Assisting server migration

A method for dynamically converting electronically encoded HTML document from a text format to an image format. The method includes receiving a request for the content from a client, obtaining the content in text format, determining a content creation preference, and converting the content in text format to content in the image format according to the content creation preference. The method includes replying to the request, wherein the reply includes the content in the image format. The method applies a watermark to the content in the image format according to a watermarking preference. The method generates an image map in accordance with a mapping preference, wherein the image map relates selectable spatial display coordinates to external document identifiers.

Method for generation and assembly of web page content

The invention broadly and generally provides a method for calibrating the relationship between management-inherent complexity metrics deriving from the management structure and human perceived complexity of information technology management comprising: (a) obtaining a set of management-inherent complexity metrics; (b) obtaining a set of human-perceived complexity metrics; (c) constructing a control model identifying a set of dominant indicators selected from the aforesaid set of management-inherent complexity metrics; (d) establishing a value model mapping from the aforesaid set of dominant indicators to the aforesaid set of human-perceived complexity metrics.

System and method for calibrating and extrapolating management-inherent complexity metrics and human-perceived complexity metrics of information technology management

Methods for serving data include maintaining an incomplete version of an object at a server and at least one fragment at the server. In response to a request for the object from a client, the incomplete version of the object, an identifier for a fragment comprising a portion of the objects and a position for the fragment within the object are sent to the client. After receiving the incomplete version of the object, the identifier, and the position, the client requests the fragment from the server using the identifier. The object is constructed by including the fragment in the incomplete version of the object in a location specified by the position.

Method and system for efficient fragment caching

The present invention concerns methods and apparatus for implementing a multi-user advance reservation system where reservations are specified in terms of flexible constraints, inflexible constraints and business values. The specification of reservations in this manner allows an entity managing the reservation system to arbitrate among reservations received from a user population with a view toward maximizing business value across the user population. In methods and apparatus of the present invention, penalties and rewards associated with various reservation outcomes can be specified in reservations to assist in business value maximization. In an example, a reservation having a low business value may be declined when there is a significant possibility that a reservation having a high business would be submitted during the pendency of service delivery to the user issuing the reservation with a low business value.

Methods and apparatus for implementing a flexible multi-user advance reservation system where reservation requests are specified in terms of multiple options and where each option has an associated business value

Methods for serving data include maintaining an incomplete version of an object at a server and at least one fragment at the server. In response to a request for the object from a client, the incomplete version of the object, an identifier for a fragment comprising a portion of the object, and a position for the fragment within the object are sent to the client. After receiving the incomplete version of the object, the identifier, and the position, the client requests the fragment from the server using the identifier. The object is constructed by including the fragment in the incomplete version of the object in a location specified by the position.

A method for preparing rules used for generating text to describe structured data comprises providing a sample of structured data, and providing a text corresponding to the sample of structured data to a pattern matching learning engine, the text comprising at least one value from within the sample of structured data. The method further comprises organizing the text into a hierarchy of syntactic components, and building rules based on the text and the sample of structured data, wherein the rules define an organization of the hierarchy of syntactic components.

Generating rules to convert HTML tables to prose

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Westport, CT, United States of America

Robert Filepp