International Business Machines Corporation

Devaprasad Khandurao Nadgir

Dinakaran B Joseph

Michael Beisiegel

Ramkumar Ramalingam

David Elliot Shepard

John Colgrave

Alwyn R Lobo

Shirish T Shenvi Kuncolienkar

Venumadhav Vanagondi

Vijay Chandra S Telukapalli

Vijay C Telukapalli

Partitioning of a monitored index commences upon receiving a trigger. Properties of the index are fetched and analyzed using a pipes analytics engine. A new partitioned index is generated and an alias is assigned to the new partitioned index. The alias is added to a partitioned index alias table.

Dynamic creation and configuration of partitioned index through analytics based on existing data population

A scripted hypertext transfer protocol (HTTP) request that encapsulates embedded scripted code that specifies each of a requested data search, search result data manipulation, and generation of visualized output of the manipulated search result data is received at a server. The embedded scripted code received within the scripted HTTP request that specifies each of the requested data search, the requested search result data manipulation, and the requested generation of the visualized output of the manipulated search result data is executed. Visualized output of the manipulated search result data are returned as a single HTTP response to the received scripted HTTP request.

Analytics based on pipes programming model

In an approach to contextual search of electronic records, one or more computer processors receive a first search request from a user. The one or more computer processors send a plurality of first search results associated with the first search request to the user. The one or more computer processors receive one or more selected policies from the user, based, at least in part, on the plurality of search results. Responsive to receiving the one or more selected policies, the one or more computer processors apply the one or more selected policies to the plurality of first search results. The one or more computer processors generate a second search request based, at least in part, on the one or more applied selected policies. The one or more computer processors send a plurality of second search results associated with the second search request to the user.

Policy driven contextual search

A method for graphically displaying lifecycle information of a governed object in a service registry in combination with the policies associated with the lifecycle states. Properties (e.g., object type, current lifecycle state) are retrieved for a governed object. Additionally, lifecycle definitions for the current lifecycle state and one or more potential future lifecycle states associated with the governed object are retrieved. Furthermore, policy definitions that apply to the object type, the current lifecycle state and one or more potential future lifecycle states are retrieved. A table is then built that correlates the retrieved lifecycle definitions with the retrieved policy definitions. A graphical representation is generated detailing the current lifecycle state, transitions to the one or more potential future lifecycle states and the policy definitions that apply to each transition for the governed object based on the built table.

Graphically displaying lifecycle information of a governed object in a service registry in combination with the policies asserted for the lifecycle states

A process for automatic tuning a set of collectors and/or sensors includes: collecting first machine data by a first sensor in a collection framework, processing the first machine data by a first collector in the collection framework to yield first collected machine data, performing analytics on the first collected machine data to generate analytics output, and tuning, based, at least in part, on the analytics output, at least one of the following: the first sensor and the first collector.

Automatic log sensor tuning

A hypertext transfer protocol (HTTP) request that includes embedded scripted code that specifies requested data search, search result data manipulation, and manipulated search result data visualization processing is received at a server. The received embedded scripted code that specifies the requested data search, search result data manipulation, and manipulated search result data visualization processing is executed. Visualized manipulated search results are generated as output of the execution of the received embedded scripted code. The visualized manipulated search results are returned in response to receiving the HTTP request that includes the embedded scripted code.

A method assigns stored documents within a distributed storage system (DSS) to various document categories to enable a target number of documents to be deleted. An intelligent storage management (ISM) utility identifies a data storage threshold value used to control data storage within the DSS. If a current storage usage exceeds the data storage threshold value, the ISM utility calculates, based on the current storage usage, a target number of documents that can be deleted from the DSS. The ISM utility utilizes a recursive process, which includes assigning stored documents to groups including a set of document categories based on data characteristics of the stored documents. The ISM utility further utilizes the recursive process to delete, based on an established ordering of the groups, all of the stored documents assigned to a subset of the groups in order to remove the target number of stored documents.

Intelligently categorizing data to delete specified amounts of data based on selected data characteristics

A data processing system assigns stored documents within a distributed storage system (DSS) to various document categories to enable a target number of documents to be deleted. An intelligent storage management (ISM) utility identifies a data storage threshold value used to control data storage within the DSS. If a current storage usage exceeds the data storage threshold value, the ISM utility calculates, based on the current storage usage, a target number of documents that can be deleted from the DSS. The ISM utility utilizes a recursive process, which includes assigning stored documents to groups including a set of document categories based on data characteristics of the stored documents. The ISM utility further utilizes the recursive process to delete, based on an established ordering of the groups, all of the stored documents assigned to a subset of the groups in order to remove the target number of stored documents.

A method for automated policy-driven transitioning of governed objects in a service registry is provided. The method includes receiving a request in a service registry executing in memory of a host server computing system to persist a governed object of a service registry. The method also includes identifying a policy to be applied to the governed object in response to the receipt of the request. The method yet further includes applying the policy to the governed object and determining whether or not the application of the policy has been successful. Finally, the method includes triggering a transition of the governed object from a contemporaneous state to a new state in the service registry if the application of the policy has been successful. In this way, governed objects of the service registry can be transitioned from one state to the other driven by policies in an automated way.

Policy driven auto-transitioning framework for governed objects in service registries

Determination and indication of operational performance of deployments in an expert integrated system that has multiple deployments, with each deployment having multiple patterns. The determination is based upon pipe analytics, with the pipe analytics being performed over a common subnet that includes both the analytics platform and the management nodes of each deployment of the multiple deployments.

Analytics platform spanning a subset using pipeline analytics

Analytics platform spanning subset using pipeline analytics

A method assigns stored documents within a distributed storage system (DSS) to various document categories to enable a target number of documents to be deleted. An intelligent storage management (ISM) utility identifies a data storage threshold value used to control data storage within the DSS. If a current storage usage exceeds the data storage threshold value, the ISM utility calculates, based on the current storage usage, a target number of documents that can be deleted from the DSS. The ISM utility utilizes a recursive process which includes assigning stored documents to groups including a set of document categories based on data characteristics of the stored documents. The ISM utility further utilizes the recursive process to delete, based on an established ordering of the groups, all of the stored documents assigned to a subset of the groups in order to remove the target number of stored documents.

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Bengaluru, India

Devaprasad Khandurao Nadgir