Abstract: Embodiments relate to a computer system, computer program product, and method to process files, and specifically, to support read and write requests of a multi-object file. Upon receipt of a file, a computer system parses the file into two or more logical objects. Each logical object has an associated or inherent characteristic. Each of the logical objects is matched to a storage tier in a multi-tier storage array. Each logical object is then assigned to a tier based on one or more object characteristics in the matched storage tier, and stored in a decomposed format.

Abstract: A method includes integrating a file system recovery log layer in a file system. The file system buffers data in a cyclical manner, and transforms all incoming random requests into a series of synchronous sequential updates. The method determines a length value of a write transaction byte-range for a received write transaction. Upon the length value exceeding a threshold value, data for the write transaction byte-range is written to permanent storage in the file system. Upon the length value being less than the threshold value, the data for the write transaction byte-range is written to a recovery log that is stored in the file system recovery log layer. The threshold value is changed dynamically while the file system is mounted.

Abstract: A method includes integrating a file system recovery log layer in a file system. The file system buffers data in a cyclical manner, and transforms all incoming random requests into a series of synchronous sequential updates. The method determines whether to flush a received write transaction to a recovery log that is stored in the file system recovery log layer. If it is determined to flush the received write transaction to the recovery log and the received write transaction is a first write transaction for writing data associated with the received write transaction to a file system block. The data associated with the received write transaction is appended in the recovery log and byte-ranges remaining in the file system block are recorded.

Abstract: A processor may identify a first directory in the UFO storage system. The first directory may include one or more subdirectories in one or more levels under the first directory. The one or more subdirectories may include a second directory that has includes one or more objects. The first directory may be associated with a first inode, and the second directory may be associated with a second inode. The processor may perform a stat call on the second directory to determine metadata attributes for the one or more objects that are stored in the second directory. The metadata attributes for the one or more objects may be stored in the second inode. The processor may add the metadata attributes for the one or more objects to the first inode.

Abstract: A processor may identify a first directory in the UFO storage system. The first directory may include one or more subdirectories in one or more levels under the first directory. The one or more subdirectories may include a second directory that has includes one or more objects. The first directory may be associated with a first inode, and the second directory may be associated with a second inode. The processor may perform a stat call on the second directory to determine metadata attributes for the one or more objects that are stored in the second directory. The metadata attributes for the one or more objects may be stored in the second inode. The processor may add the metadata attributes for the one or more objects to the first inode.

Abstract: A computer-implemented method, according to one embodiment, includes: dividing a namespace in a central storage location into more than one cell. A first of the more than one cell is a common cell, which is configured to store management data received from remote storage locations coupled to the central storage location. Each of the remaining cells are configured to store object data received from a respective one of the remote storage locations. Management data received from the remote storage locations is stored in the common cell of the central storage location. Object data is also received, where the object data corresponds to the management data received from the remote storage locations. Furthermore, the received object data is stored in the respective cells of the central storage location. Other systems, methods, and computer program products are described in additional embodiments.

Abstract: A computer-implemented method, according to one embodiment, includes: sending management data to a designated common cell in a namespace of a central storage location from one or more remote storage locations. The management data corresponds to object data stored at the one or more remote storage locations. the object data stored at each of the one or more remote storage locations is further transferred to a respective cell in the namespace of the central storage location. Moreover, a modified consistency hashing algorithm configuration is implemented. The modified consistency hashing algorithm configuration routes updates of existing object data in the one or more remote storage locations to the respective cells in the central storage location. Other systems, methods, and computer program products are described in additional embodiments.

Abstract: A computer-implemented method according to one embodiment includes identifying an overhead associated with a tracing of a system, comparing the overhead to a predetermined threshold, and adjusting a number of trace points currently enabled within the system, based on the comparing.

Abstract: In one general embodiment, a computer program product for sharing a data management policy with a load balancer comprises a computer readable storage medium having program instructions embodied therewith, wherein the computer readable storage medium is not a transitory signal per se. Additionally, the program instructions are executable by a processor to cause the processor to perform a method comprising analyzing, by the processor, a plurality of data management factors within an object-based storage system, determining, by the processor, a data management policy for predetermined data within the object-based storage system, based on the analyzing, and sharing, by the processor, the data management policy for the predetermined data with a load balancer associated with the object-based storage system.

Abstract: An embodiment of the invention may include a method, computer program product and system for data storage management. The embodiment may include receiving a request from a second container runtime for access to a first container runtime volume by the second container runtime. The embodiment may include determining whether the first container runtime volume exists within a shared unified volume listing. Based on determining that the first container runtime volume exists within the shared unified volume listing, the embodiment may include transforming volume information of the first container runtime volume from a unified volume listing schema to a second container runtime volume listing schema. The embodiment may include returning the volume information of the first container runtime volume to the second container runtime.

Abstract: An aspect includes input/output (I/O) stack modeling. A processor determines a client configuration of a client I/O stack that includes layers with configurable parameters to control storage and retrieval of data between an uppermost layer and lowest layer. A model of the client I/O stack is built on a layer basis that defines input workload characteristics, output workload characteristics, and layer configuration parameters for the layers of the model based on the client configuration. Workload characteristics of the uppermost layer of the client I/O stack are fed to the model. The processor determines a statistical distribution of workload characteristics associated with each of the layers of the client I/O stack. I/O performance results are captured for layers of the model based on feeding the workload characteristics of the uppermost layer.

Abstract: Techniques are disclosed herein for controlling object placement in object storage. A placement component of a storage application receives a request to store a first object in an object store having multiple nodes. The object store determines a placement of the first object to one of the nodes based on an object namespace including a numerical namespace and a lexicographical namespace. Each node is assigned a corresponding subspace of the object namespace for storing objects. The first object includes a numerical namespace value and a lexicographical namespace value. A second object (a replica of the first object) is generated. The first object is stored to a first node based on the lexicographical namespace value. The second object is stored to a second node based on the numerical namespace value.

Abstract: A computer-implemented method, according to one embodiment, includes: creating a namespace in a central storage location, and dividing the namespace into more than one cell. A first cell is a common cell configured to store management data received from remote storage locations coupled to the central storage location. Each of the remaining cells are configured to store object data received from a respective one of the remote storage locations. The computer-implemented method further includes: receiving management data from the remote storage locations, storing the received management data in the common cell of the central storage location, receiving object data corresponding to the management data received from the remote storage locations, and storing the received object data in the respective cells of the central storage location. The management data corresponds to object data stored in the remote storage locations.

Abstract: Embodiments relate to management of hybrid workloads in a shared pool of configurable computer resources. Resource utilization in the shared pool is dynamically tracked, and employed for assessing a set of servers a parallel access protocol should utilize for one or more I/O requests in conjunction with any serial workload optimizations. Accordingly, the load balancing embodies a diverse set of workloads to support dynamic and equitable allocation.

Abstract: In one general embodiment, a computer-implemented method is provided. The computer-implemented method includes identifying a first object in a tiered storage system, and identifying first metadata associated with the first object. The computer-implemented method also includes identifying a second object utilizing the first metadata of the first object. The second object is associated with second metadata. Moreover, the computer-implemented method includes, in response to an access of the first object, modifying a heat value associated with the second object.

Abstract: In one general embodiment, a computer program product for sharing a data management policy with a load balancer comprises a computer readable storage medium having program instructions embodied therewith, wherein the computer readable storage medium is not a transitory signal per se. Additionally, the program instructions are executable by a processor to cause the processor to perform a method comprising analyzing, by the processor, a plurality of data management factors within an object-based storage system, determining, by the processor, a data management policy for predetermined data within the object-based storage system, based on the analyzing, and sharing, by the processor, the data management policy for the predetermined data with a load balancer associated with the object-based storage system.

Abstract: Embodiments of the invention relate to dynamic application migration in a shared pool of configurable computer resources with disaster recovery support. Write operations are executed by an application at a first data site. Data is generated and stored in first data storage local to the first data site. The stored data is replicated from the first data storage to a backup data storage, and a consistency point of the data is created in both the first data storage and the backup data storage. In response to a local hardware failure at the first data site, an unplanned migration protocol is initialized to migrate the application to a second data site remote from the first data site, which includes re-launching the application at the second data site. Data is transferred from the backup data storage to the second data storage local to the second data site from the consistency point.

Abstract: Embodiments for namespace management between storage systems by a processor. Events, containing metadata associated with an operation, from a plurality of heterogeneous storage systems may be received such that the events are indexed into a common repository according to the metadata to maintain a single namespace for data in the plurality of heterogeneous storage systems.

Abstract: Embodiments for triggering custom metadata extraction by a processor. Information may be extracted from an event so as to access data across a plurality of heterogeneous storage systems. Metadata may be extracted from the data that is accessed such that the metadata is assigned as custom metadata and indexed into a centralized search index, wherein the custom metadata is correlated to existing metadata associated with the data in the centralized search index.

Abstract: An aspect includes storage stack analysis. A processor determines a client configuration of a client storage stack that includes a plurality of layers with configurable parameters to control storage and retrieval of data between an uppermost layer and a lowest layer. The processor initiates creation of a replica of the client storage stack based on the client configuration. Input/output characteristics are collected of a workload executed on the client storage stack using the client configuration. A synthesized workload is applied to the replica of the client storage stack, where the synthesized workload is based on the input/output characteristics of the workload. The processor analyzes input/output performance through the layers of the replica of the client storage stack in response to applying the synthesized workload. One or more configuration issues are identified with the client configuration of the client storage stack based on a result of the analysis.