International Business Machines Corporation

Joerg Mueller

Thomas Prause

Reinhard Theodor Buendgen

Michael H Schlachter

Nils Haustein

Thomas Hermann Gnech

Klaus Rindtorff

Torsten Teich

Sven Sterbling

Alexander Neef

Stefan Alexander

Georg Bildhauer

Matthias Kubik

Jan Vorbohle

Ernesto Puig Rodriguez

Aspects of the present invention disclose a method, computer program product, and system for monitoring a health status of a computing system. The method includes one or more processors deploying a respective monitoring prediction agent in each of a plurality of worker nodes of a computing system. The method further includes determining, for each of the plurality of worker nodes by the respective monitoring prediction agent, a single binary health status value by comparing a time-dependent function of performance metric data values of the respective worker node to upper and lower threshold values. The method further includes receiving the binary health status values together with respective identity information from each of the plurality of worker nodes. The method further includes generating a dataset indicative of a health status of the computing system by feeding the received respective identity information to hash functions of a Counting Bloom Filter.

Monitoring health status of a large cloud computing system

Provided are a computer program product, system, and method for providing backup and restore services to network attached appliances in a network. Configuration settings comprising configuration settings used in a network attached appliance are gathered and a unique identifier for the network attached appliance is determined. A backup request is generated including the configuration settings, the unique identifier, and a backup operation code. The backup request is broadcasted on the network to be received by the backup servers to store the configuration settings for the unique identifier.

Providing backup and restore services to network attached appliances in a network

A method for archiving of documents of a query against a cognitive system can be provided. The cognitive system comprises at least a cognitive engine, several stored documents, and a learned model. The method comprises determining a plurality of evidence fragments, a related first list of documents and related metadata. The method also comprises removing a document from the stored documents, redetermining as second result a second list of documents, comparing the first and second list of documents, and upon determining identical documents in the compared first and second list of documents up to a confidence cliff, removing another document. Furthermore, the method comprises repeating the steps of removing, redetermining, and comparing until the first list of documents and the second list of documents differ above the confidence cliff and storing metadata of the documents of the first list, the plurality of evidence fragments, and the first query.

Archiving of topmost ranked answers of a cognitive search

In an approach for migrating cloud services between cloud providers, a processor transforms a set of IaC resources of a cloud service on an initial cloud provider into a reference architecture to be deployed to a set of cloud providers. A processor gathers a set of indicators from the set of cloud providers. A processor compares the set of indicators from the set of cloud providers. Responsive to determining that an affinity score was reached for an alternate cloud provider, a processor outputs an alert to an owner of the cloud service, wherein the alert requests approval to migrate the cloud service from the initial cloud provider to the alternate cloud provider. Responsive to receiving approval from the owner, a processor migrates the cloud service to the alternate cloud provider.

Migration of cloud services

A computer-implemented process provides data protection of an in-memory database. The method may include triggering the securing of data of the in-memory database to a first savepoint; securing data of the in-memory database to the first savepoint; and backing up the data of the first savepoint on a persistent storage medium. The data of the first savepoint may be stored on a first persistent medium and the backup data of the first savepoint are stored on a second persistent storage medium. The availability of two different savepoint data on physically different storage media increases the probability of having always savepoint data ready for recovery purposes dramatically. By using different storage media, even in cases of a hardware damage savepoint data will be available.

Database in-memory protection system

A method for improving integrity and availability of data in a data center is provided. The data center is part of a network of data centers. The data centers in the network are adapted to act as a backup service provider. The method comprises registering backup service profile data of each of the data centers with viable data. The method also comprises accessing a forecast of monitorable events for a region, analyzing the forecast to predict a potential threat, identifying a data center in the regions, and determine a data center within the network of data centers as backup service provider. If more than one suitable backup service providers is identified, determine a best match backup service provider, establishing a backup communication connection, and transferring data from the source data center to the target data center.

Forecast recommended backup destination

Performing automated and self-adjusting backup operations by executing the following steps: Determining a time of last backup operation for a data block. Obtaining an audit trail based on the time of last backup operation for the data block and a current time. Ordering read operations and write operations of the data block into a chronological sequence based on the audit trail. Generating a weighting element for read operations and a weighting element for write operations of the data block such that a weighting of read operations are greater than or less than the weighting of a write operations. Calculating a weighted sum of weighted read operations and weighted write operations for said data block. Respond to a result of a comparison between the weighted sum and at least one threshold value by performing a type of backup operation.

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Horb, Germany

Joerg Mueller