International Business Machines Corporation

Dietmar Noll

Christian Bolik

Christoph Reichert

Willi Wuensch

Uwe Fiebrich-Kandler

Patrick Schaefer

Aameek Singh

Einar Lueck

Gabriel Alatorre

Laura A Richardson

Matthew Robert Bogner

Michael Fiedler

Daniel Michel

Sudhir V R Koka

Nile Haustein

Correlating storage system event alerts by receiving notice of an event, determining a first storage network system (SNS) resource related to the event, determining instantiated dependencies between the first SNS resource and a second SNS resource, correlating the event with a second event according to the instantiated dependencies, and providing notice of the correlated events.

Configuration-based alert correlation in storage networks

As indicated above, aspects of the present invention provide an approach for facilitating nondisruptive virtual machine (VM) maintenance in a networked computing environment. In an embodiment, a request for an update to an active VM is received, and a copy of the active VM is taken to create a snapshot VM. An update is installed on the snapshot VM. While the snapshot VM is being updated, all changes made to the active VM are saved. Once the update is installed on the snapshot VM, the saved changes are applied to the snapshot VM. A switch is made over to the snapshot VM in real time so that the snapshot VM becomes the active VM. The process allows a user to work continuously with the software as a service (SaaS) VM without disruption.

Nondisruptive updates in a networked computing environment

A tool for improving identification of one or more storage system elements responsible for a performance degradation in a digital storage system. The tool records performance metric data for the one or more storage system elements in a database. The tool locates one or more outliers in the performance metric data for a focus time window using a statistical criterion. The tool calculates a problem contribution probability value for at least one of the one or more outliers. The tool determines a sequential list of outliers, wherein an order in the sequential list of outliers is determined using the problem contribution probability value.

Identification of storage system elements causing performance degradation

The method for managing one or more standard configurations includes calculating a plurality of configuration fingerprints for a plurality of storage systems. The configuration fingerprint is a numerical value that represents information about a configuration for one or more components of a storage system. The method also includes building a result set that includes the plurality of configuration fingerprints for the plurality of storage systems. The method also includes identifying a plurality of standard configurations for the plurality of storage systems from the result set based on the plurality of configuration fingerprints. The method also includes determining that a first storage system from the plurality of storage systems meets a standard configuration from the plurality of standard configurations. The method also includes creating metadata within the first storage system that describes the standard configuration.

Management of configurations for existing storage infrastructure

A method, computer-readable storage medium and computer system for controlling a storage system, the storage system comprising a plurality of logical storage volumes, the method comprising: monitoring, for each of the logical storage volumes, one or more load parameters; receiving, for each of the logical storage volumes, one or more load parameter threshold values; comparing, for each of the logical storage volumes, the first load parameter values of said logical storage volume with the corresponding one or more load parameter threshold values; in case at least one of the first load parameter values of one of the logical storage volumes violates the load parameter threshold value it is compared with, automatically executing a corrective action.

Controlling a storage system

The invention relates to a digital storage system, wherein the digital storage system includes one or more digital storage system elements. The digital storage system elements comprise a plurality of digital storage devices, and one or more network components to connect the digital storage elements. Execution of the machine executable instructions causes a processor to repeatedly record performance metric data descriptive of the performance of the storage system elements in the database, locate outliers in the performance metric data using a statistical algorithm, and to calculate a problem contribution probability value for at least a portion of the outliers. The problem contribution probability value is weighted using an instantiated configuration dependency tree and an instantiated performance metric dependency tree. The processor uses the problem contribution probability value to determine a sequential list of outliers. The order in the sequential list is determined using the problem contribution probability value.

A mechanism is provided for providing storage resources of a storage management system. A storage service request is received comprising an indication of a service class. A determination is made of all resource managers mapped to the indicated service class according to a first mapping. For each of the determined resource managers: a determination is made of selected ones of all the storage resources controllable by the determined resource manager; monitoring data of the selected storage resources is gathered; the gathered monitoring data is compared for calculating a score for each one of the selected storage resources; and at least one function of the determined resource manager operable to control the storage resource having an optimum score is called.

Providing storage resources upon receipt of a storage service request

A method, computer readable storage medium and computer system for controlling the allocation of data to one of a plurality of storage units of a storage system, the method comprising: accessing a source storage unit comprising the data; gathering file system level (FS-level) metadata from the source storage unit; analyzing the gathered FS-level metadata for determining if the data should be moved to one of the other storage units, said other storage unit acting as a destination storage unit; and in case the data should be moved, displaying an indication of the destination storage unit and/or automatically moving the data to the determined destination storage unit.

Controlling the placement of data in a storage system

A method in one embodiment includes determining which elements of a storage environment or system have been selected for addition to a group, each of the elements being associated with a tier; adding the selected elements to the group; determining whether a parent of each of the selected elements has also been selected, the parent of each of the selected elements being in a higher tier than the element; adding the parent to the group as an element if the parent of any of the selected elements has not been selected; associating the elements in the group into subgroups; generating a view of at least some of the elements in the group, the view representing the tier of the elements in the view, the elements being spatially organized by subgroup; and outputting the view. Additional systems, methods and computer program products are also disclosed.

Assembly and output of user-defined groupings

Various embodiments storing volumes of data in a data storage system, including one or more data storage containers, the data storage containers being thin-provisioned to provide virtual data storage capacity which is greater than a real data storage capacity of the data storage hardware are provided. In one embodiment, by way of example only, a real data storage capacity of the data storage system for accommodating new volumes is determined. Over-allocation information relating to one or more data storage containers is determined. Extrapolated future anticipated use of one or more containers of the data storage system from historical data storage use information is determined. One or more candidate data storage containers on the basis of information from the determining the real data storage capacity, over-allocation information, and the extrapolated future anticipated use is selected. Additional system and computer program product embodiments are disclosed and provide related advantages.

Selection of storage containers for thin-partitioned data storage based on criteria

A method for automatically identifying available storage components within a storage system, which are appropriate for storing consumer data in compliance with specified service level objectives (SLOs), including discovering available storage components; identifying and assigning service levels provided by each available storage component, wherein identifying and assigning service levels provided by each available storage component, includes classifying the available storage components based on their type of technology, and determining the SLO relevant capabilities of the available storage components; and storing resultant mapping of service levels to available storage components in a metadata repository.

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Bad Soden-Salm, Germany

Dietmar Noll