International Business Machines Corporation

Long Wang

Ruchi Mahindru

Harigovind Venkatraj Ramasamy

Soumitra Sarkar

Yu Deng

Salman Abdul Baset

Chunqiang Tang

Byung Chul Tak

Richard Edwin Harper

Hai Huang

Anca Sailer

Mahesh Viswanathan

Lakshminarayanan Renganarayana

Manas Singh

Valentina Salapura

John Alan Bivens

Harigovind Ramasamy

Sandhya Kapoor

Cuong Manh Pham

Minkyong Kim

Norbert George Vogl

Rafah A Hosn

Kirk Alan Beaty

Alla Segal

Charles Otto Schulz

Kaoutar El Maghraoui

Simon J Kofkin-Hansen

Theodor Razvan Ionescu

Christopher Moss

Richard Christopher Smith

Nilton T Bila

Sharif Tarequr Rahman

Abhas Bodas

A method of organizing computer resources includes receiving a specification defining a plurality of quiescence groups of independent component instances for each of at least two services, and performing a first load balancing of the quiescence groups across a plurality of physical servers to define a plurality of supergroups while assigning each of the physical servers across the supergroups.

Hardware placement and maintenance scheduling in high availability systems

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

One or more processors scan to identify component resources of a record retention system and determine relationships among the component resources and data stored on the component resources. Rules corresponding to retention of record data stored on the component resources are received, and a deletion action is determined in response to receiving a request by a user for deletion of record data from the record retention system and the rules corresponding to the retention of data. The one or more processors perform the deletion action on the user's record data associated with the request and compliant with the rules corresponding to the retention of the data among the component resources of the record retention system, and the one or more processors record the deletion action and information associated with the deletion action in a deletion log of the record retention system.

Retention rule compliance of record deletion based on deletion log

Identify individual machines of a multi-machine computing system. Construct a graph of dependencies among the machines. Obtain estimated total administration times and administration priorities for each of the machines. Identify availability of administration resources to assist in administration of one or more of the machines. Select a first set of machines for administration in response to the graph, administration priorities, estimated total administration times, and availability of the first set of administration resources, and administer the first set of machines in parallel using the first set of administration resources. Update the graph in response to administration of the first set of machines. Select a subsequent set of machines for administration in response to the updated graph, administration priorities, estimated total administration times, and availability of a subsequent set of administration resources. Administer the subsequent set of machines in parallel using the subsequent set of administration resources.

Optimizing simultaneous startup or modification of inter-dependent machines with specified priorities

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

A method for updating an application executing on a virtual machine includes replicating the virtual machine to produce a replica, applying an update to the replica that is scheduled to be made to the virtual machine, in parallel with the applying, updating one of the virtual machine and the replica so that a state of the virtual machine matches a state of the replica, and continuing execution of the application on one of the virtual machine and the replica.

Patching systems and applications in a virtualized environment

Evaluating the performance of an application when migrated from a first environment in which the application is currently executing to a different second environment includes generating a configuration file using data obtained from the application executing in the first environment, installing the configuration file in a virtual machine residing in the second environment, launching the application in the virtual machine after the installing, and obtaining a metric indicative of the performance from the virtual machine.

Evaluating distributed application performance in a new environment

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

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

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White Plains, NY, United States of America

Long Wang