Abstract: A computer-implemented method, according to one approach, includes: receiving a request to create a new node in a clustered filesystem. In response to receiving the request, a copy of details is retrieved, the copy of details being associated with an established singleton cluster preconfigured to access the clustered filesystem. The retrieved copy of details are further applied to a new node in the clustered filesystem. Moreover, data structures of the new node are modified according to the received request. Other systems, methods, and computer program products are described in additional approaches herein.

Abstract: Described are techniques for determining a quiesce timeout for a containerized workload used to identify a storage unit for the containerized workload. The techniques include determining an Input/Output (I/O) rate associated with a containerized workload that executes in a container environment, where the containerized workload interfaces with a storage system to store the data. The techniques further include determining a quiesce timeout for the containerized workload that is based at least in part on the I/O rate of data associated with the containerized workload and an amount of memory allocated for buffering the data during performance of a backup operation without incurring an I/O overflow. The techniques further include determining storage unit specifications that enable performance of the backup operation within the quiesce timeout and evaluating storage units available to the container environment to identify a storage unit for the containerized workload based on the storage unit specifications.

Abstract: A computer-implemented method, according to one embodiment, includes: receiving one or more suggestions which correspond to placement of data in storage. The one or more suggestions are used to identify portions of actual data stored in actual storage which correspond to the one or more suggestions. The first tier is configured to stripe data across the two or more shared nodes. For each of the identified portions of the actual data stored in the first tier, the one or more suggestions is further used to determine whether to transfer the given identified portion of the actual data to the second tier. Moreover, in response to a determination to transfer at least one of the identified portions of the actual data to the second tier, one or more instructions are sent to transfer the at least one of the identified portions of the actual data from the first tier to the second tier.

Abstract: Provided is a computer-implemented method, system, and computer program product for predictive service orchestration using threat modeling analytics. A processor may identify a plurality of attributes of a client computing environment. The processor may collect threat modeling content for a plurality of vendor computing environments. The processor may analyze the threat modeling content for the plurality of vendor computing environments. The processor may compare the analyzed threat modeling content for the plurality of vendor computing environments with the plurality of attributes of the client computing environment. The processor may generate, based on the comparing, a client threat model for the client computing environment.

Abstract: A computer-implemented method, according to one approach, includes: receiving a request to create a new node in a clustered filesystem. In response to receiving the request, a copy of details is retrieved, the copy of details being associated with an established singleton cluster preconfigured to access the clustered filesystem. The retrieved copy of details are further applied to a new node in the clustered filesystem. Moreover, data structures of the new node are modified according to the received request. Other systems, methods, and computer program products are described in additional approaches herein.

Abstract: A method for more efficiently storing genomic includes designating multiple different data storage techniques for storing genomic data generated by a genomic pipeline. The method further identifies a file, made up of multiple blocks, generated by the genomic pipeline. The method determines which data storage technique is most optimal to store each block of the file. In doing so, the method may consider the type of the file, the stage of the genomic pipeline that generated the file, the access frequency for blocks of the file, the most accessed blocks of the file, and the like. The method stores each block using the data storage technique determined to be most optimal after completion of a designated stage of the genomic pipeline, such that blocks of the file are stored using several different data storage techniques. A corresponding system and computer program product are also disclosed.

Abstract: A computer-implemented method for provisioning cloud computing clusters includes receiving a request to create a cloud computing cluster, the cloud computing cluster comprising a clustered filesystem and a requested number of processing nodes and attached storage devices associated with the cloud computing cluster and initiating an initialization process for a single processing node and a corresponding attached storage device responsive to receiving the request to create the cloud computing cluster. The method may also include, previous to completion of the initialization process, requesting and receiving an IP address for the single processing node and a device ID for the corresponding attached storage device from one or more cloud infrastructure controllers and configuring the clustered filesystem and a corresponding WAN cache using the received IP address and the received device ID. A system and computer program product corresponding to the above method are also disclosed herein.

Abstract: An apparatus, a computer-implemented method, and a system for controlling maintenance of canary files. An apparatus includes a canary file module that determine access frequency of files and migrates one or more of the files responsive to the access frequency. At least a portion of said module includes one or more of hardware circuits, programmable hardware devices and executable code, the executable code stored on one or more computer readable storage media.

Abstract: Described are techniques for determining a quiesce timeout for a containerized workload used to identify a storage unit for the containerized workload. The techniques include determining an Input/Output (I/O) rate associated with a containerized workload that executes in a container environment, where the containerized workload interfaces with a storage system to store the data. The techniques further include determining a quiesce timeout for the containerized workload that is based at least in part on the I/O rate of data associated with the containerized workload and an amount of memory allocated for buffering the data during performance of a backup operation without incurring an I/O overflow. The techniques further include determining storage unit specifications that enable performance of the backup operation within the quiesce timeout and evaluating storage units available to the container environment to identify a storage unit for the containerized workload based on the storage unit specifications.

Abstract: A computer-implemented method, according to one approach, includes: monitoring actions of a user having access to a cluster, and in response to determining that the user has performed a risk event, incrementing a risk score assigned to the user. A determination is also made as to whether the incremented risk score is outside a predetermined range, and in response to determining that the incremented risk score is outside the predetermined range, a snapshot quota assigned to the user is dynamically reduced.

Abstract: A computer-implemented method for provisioning cloud computing clusters includes receiving a request to create a cloud computing cluster, the cloud computing cluster comprising a clustered filesystem and a requested number of processing nodes and attached storage devices associated with the cloud computing cluster and initiating an initialization process for a single processing node and a corresponding attached storage device responsive to receiving the request to create the cloud computing cluster. The method may also include, previous to completion of the initialization process, requesting and receiving an IP address for the single processing node and a device ID for the corresponding attached storage device from one or more cloud infrastructure controllers and configuring the clustered filesystem and a corresponding WAN cache using the received IP address and the received device ID. A system and computer program product corresponding to the above method are also disclosed herein.

Abstract: A method for assigning and migrating files among tiers within a unified storage environment. The method includes one or more computer processors determining a plurality of files stored within a tiered storage environment that are accessed by a set executing applications. The method further includes determining that one or more files of the plurality of files are accessed utilizing two or more protocols. The method further includes identifying a group of two or more tiering policies utilized within a tiered storage environment. The method further includes determining protocol-based heat count values corresponding the plurality of files. The method further includes storing the plurality of files among tiers of the tiered storage environment based on the identified group of two or more tiering polices and the protocol-based heat count values corresponding to the plurality of files.

Abstract: This is an approach to the prediction of soil density and subsoil crop growth. The approach may include subsoil sensor which can monitor changes in soil pressure and moisture conditions. The sensor data can be sent to a computer module which can process the data using a machine learning model predicting the soil density around a subsoil crop and the yield of the subsoil crop. A soil maintenance plan can be generated from the soil density prediction and/or the crop yield prediction. The soil maintenance plan can be sent to soil management robots, which can execute the soil maintenance plan.

Abstract: A computer-implemented method according to one aspect includes determining and storing characteristics of a plurality of cloud vendors; dividing a workload into a plurality of logical stages; determining characteristics of each of the plurality of logical stages; and for each of the plurality of logical stages, assigning the logical stage to one of the plurality of cloud vendors, based on a comparison of the characteristics of the plurality of cloud vendors to the characteristics of the logical stage. Data migration between the cloud vendors is performed during an implementation of the workload to ensure data is located at necessary cloud vendors during the corresponding tasks of the workload.

Abstract: A computer-implemented method, according to one embodiment, includes: receiving, at a clustered filesystem from a formatted filesystem, a request to perform a data integrity check for a portion of data. A determination is made as to whether the request includes a filesystem type of the portion of data, and in response to determining that the request includes a filesystem type of the portion of data, another determination is made as to whether the clustered filesystem supports the data integrity check for the filesystem type. In response to determining the clustered filesystem supports the data integrity check, another determination is made as to whether the portion of data is currently available. Furthermore, the computer-implemented method includes causing the data integrity check to be performed in response to determining that the portion of data is currently available. Results of performing the data integrity check are also sent to the formatted filesystem.

Abstract: Provided is a computer-implemented method, system, and computer program product for predictive service orchestration using threat modeling analytics. A processor may identify a plurality of attributes of a client computing environment. The processor may collect threat modeling content for a plurality of vendor computing environments. The processor may analyze the threat modeling content for the plurality of vendor computing environments. The processor may compare the analyzed threat modeling content for the plurality of vendor computing environments with the plurality of attributes of the client computing environment. The processor may generate, based on the comparing, a client threat model for the client computing environment.

Abstract: Disclosed are techniques for programmatically mapping workloads for storage in different classes of a networked computer data storage environment, using a set of rules or data storage hints and properties of the workloads themselves. With the set of data storage hints, metadata sets are assigned to files of the incoming workloads to the networked computer data storage environment based on the properties of the workloads. Then, a target storage class is determined for each file of the workload from the plurality of storage classes present in the networked computer data storage environment. The workload files are then mapped to a logical bucket that is associated with the plurality of storage classes through a shared namespace, with the assigned metadata set for a file cueing the filesystem modules as to which storage class within the logical bucket to direct the various files of the workload to.

Abstract: Embodiments of the present invention determine a curiosity of a user based on data received from an electronic device associated with the user, where the data includes audible speech captured from user and one or more facial expressions of the user. Embodiments of the present invention identify a first wavelength for audible speech from the user to initiate a command detection mode based on a plurality of wavelengths associated with a user profile for the user. Embodiments of the present invention identify a topic for the audible speech from the user and responsive to determining an intelligent virtual assistant is an intended recipient based on the topic, suspend an activation word for the intelligent virtual assistant.

Abstract: Disclosed are techniques for programmatically mapping workloads for storage in different classes of a networked computer data storage environment, using a set of rules or data storage hints and properties of the workloads themselves. With the set of data storage hints, metadata sets are assigned to files of the incoming workloads to the networked computer data storage environment based on the properties of the workloads. Then, a target storage class is determined for each file of the workload from the plurality of storage classes present in the networked computer data storage environment. The workload files are then mapped to a logical bucket that is associated with the plurality of storage classes through a shared namespace, with the assigned metadata set for a file cueing the filesystem modules as to which storage class within the logical bucket to direct the various files of the workload to.

Abstract: A computer-implemented method according to one embodiment includes determining patterns of an application that utilizes a filesystem and/or properties of queries of the application. Data of the filesystem is stored across a plurality of replication sites of a data storage system. Based on the determined patterns of the application and/or the determined proper-ties of the queries of the application, a utility of storing at least some of the data of the filesystem in different variations at more than one of the replication sites is estimated. The estimated utility is compared against a predetermined utility threshold, and in response to a determination that the estimated utility is greater than the predetermined utility threshold, a write system call offered by the filesystem is modified to store the data in different variations at more than one of the replication sites.