International Business Machines Corporation

Joseph Paul Wigglesworth

Bo Yang

Jing Min Xu

Fan Jing Meng

Ajay Arvind Apte

Chang Li

Xue Jun Zhuo

Hugh Edward Hockett

Marin Litoiu

Jingrong Gao

Radu Bogdan Mateescu

Paul-Vlad Tatavu

Yar Rouf

Joydeep Mukherjee

Gabriel Tamura

Hans Albert Muller

Ian Fraser Watts

Arnamoy Bhattacharyya

Cristiana Amza

Miguel Angel Jimenez Achinte

A computer implemented method, apparatus, system, and computer usable program product for managing a database. The process receives a request for a list of members for a given group of objects in the database. The process identifies a set of static members for the given group based on a set of records in a membership table in the database. The set of static members includes all direct static members and all indirect static members of the given group. The process identifies a set of dynamic members for the given group of objects based on a reference in a group table in the database. The set of dynamic members includes all direct dynamic members of the given group and all indirect static members of the given group. The process generates the list of members.

Method and apparatus for representing a group hierarchy structure in a relational database

Disclosed are techniques for two-way synchronization of infrastructure-as-code templates and instances, including a method comprising detecting changes to a run-time state of a system and, in response to detecting a change, triggering an update of a current run-time state model. The method may further comprise, in response to updating the run-time state model, comparing the updated model to a current model using a template in a local repository instantiated as the current model. The method may further comprise, in response to the comparison determining a structural difference between the updated model and the current model, merging the updated model and the current model into a new model; and updating a local clone of a repository of the template with the new model. The method may further comprise, in response to the comparison determining no structural difference between the updated model and the current model, pushing changes to a remote repository.

Two-way synchronization of infrastructure-as-code templates and instances

A computer-implemented method for context aware anomaly detection includes receiving a signal including real-time data, dividing the received signal into a set of training wavelets bounded by a respective training context, generating a prediction model for the training context by processing the set of training wavelets through a recurrent neural network to identify patterns in a sequence of data of a respective training wavelet. The method includes, in response to execution of a current context that is different from the training context, extracting current wavelets from a signal of the current context, identifying a pairwise match between same dimensions of the current wavelets and a wavelet pattern of the prediction model by aligning sequences of the current wavelet and sequences of the wavelet pattern of the prediction model. Upon determining that a total cumulative distance between the two sequences exceeds a predetermined threshold, an anomaly is identified.

Context aware anomaly detection

A cloud configuration, including public and private clouds, is organized hierarchically, with a top level and any number of lower levels. A parent level cloud receives resource workload metrics from respective child level cloud(s), makes predictions, based in part on the metrics, as to future resource needs at the child level. The parent level sets up runtime-modifiable business rules and scaling plans based on the predictions. The parent level cloud sends the scaling plans to respective child level(s). The parent level automatically triggers a scaling plan at a child level, if conditions written into the business rules are satisfied. Resources are scaled upward or downward automatically as needed to maintain optimal resource usage.

Predictive auto-scaler for a hierarchical computing infrastructure

Determining a characteristic of a configuration file that is used to discover configuration files in a target machine, a computer identifies, using information associated with a configuration item of a machine, a candidate configuration file related to the configuration item of the machine, from among a plurality of files from the machine. The computer extracts a value of a feature of the candidate configuration file and aggregates the candidate configuration file with a second candidate configuration file related to the same configuration item identified from among a plurality of files from a second machine, based on the extracted value. The computer then determines a configuration file related to the configuration item from among the aggregated candidate configuration files based on a result of the aggregation, and determines a characteristic of the configuration file related to the configuration item.

Determining characteristics of configuration files

Representing a group hierarchy structure in a relational database

A computer implemented method, data processing system, and computer usable program code are provided for applying compliance standards to a set of computers. A set of computer groupings containing the set of computers is identified. Each computer in the set of computers is included in at least one computer group in the set of computer groupings. A set of compliance rules is identified for each of the set of computer groupings. Configuration information for the set of computers is acquired and the configuration information for each of the set of computers is compared to the set of compliance rules for each of the set of computer groupings to which each computer in the set of computers is included. Compliance results are generated for each computer in the set of computers.

Applying compliance standards to a computer within a grouping hierarchy

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Thornhill, Canada

Joseph Paul Wigglesworth