Abstract: Embodiments for, in an object storage environment, managing data replication between first and second sites of a distributed computing environment by one or more processors. A first pass metadata hash is calculated for each of the objects in an object-set that is subsequently transferred from the first to the second site. Responsive to the second site, a second pass metadata hash is calculated for remaining objects of the object-set that are identified by the second site at a sub-object level using a predetermined size.

Abstract: Embodiments for, in a shared storage environment, managing data replication between first and second sites of a distributed computing environment by one or more processors. Metadata is pre-seeded from the first to the second site as an assembled metadata map. Data blocks corresponding to the pre-seeded metadata not currently stored at the second site are determined by the second site using the metadata map within a deduplication environment. A transfer request for the data blocks is returned by the second site to the first site.

Abstract: Embodiments for integration of social interactions in shared media by a processor. The social interactions are mapped in real time according to a predetermined preference. Duplicate ones of the social interactions are managed according to a data deduplication operation. The shared media is analyzed in view of the mapped social interactions to generate placement or duration display attributes for the social interactions such that the mapped social interactions and the shared media may be concurrently viewed on a particular display without obfuscating content of the shared media at a particular time.

Abstract: Embodiments for integration of social interactions in shared media by a processor. The social interactions are mapped in real time according to a predetermined preference. Duplicate ones of the social interactions are managed according to a data deduplication operation. The shared media is analyzed in view of the mapped social interactions to generate placement or duration display attributes for the social interactions such that the mapped social interactions and the shared media may be concurrently viewed on a particular display without obfuscating content of the shared media at a particular time.

Abstract: Embodiments for managing social commentary as applicable to social media by a processor. A spectrum of weights is assigned to individual portions of the social commentary as a function of a determined measured characteristic. Those of the individual portions having a higher weight than a predetermined threshold are selected to be displayed through the social media in a hierarchy corresponding to a position in the spectrum of weights, while those of the individual portions having a lower weight than the predetermined threshold are selected to be withheld from display. A deduplication operation is applied to individual portions of the social commentary. Those of the individual portions determined to be repetitive greater than a predetermined number are used to assist in formulating weights of the individual portions.

Abstract: Embodiments for, in a shared storage environment, managing data replication between first and second sites of a distributed computing environment by one or more processors. Based on an identified data block-set for replication, a unique metadata map is generated as a computed snapshot of the identified data block-set, the metadata map accounting for a predetermined block-size for transfer. The unique metadata map is transferred to the second site. The second site adds the unique metadata map to a global metadata repository.

Abstract: Various embodiments for data management across a network by a processor. Data characteristics are analyzed through the network, incorporating an analysis of traffic and utilization of the data in the network, and inclusive of data operations resulting in at least a portion of the data reaching an endpoint in a network topology. Based on the analysis of the data characteristics, the portion of the data is pre-seeded forward to a location closer to the endpoint in the network topology than a previously stored location, such that when the portion of the data is requested through the endpoint, movement of the portion of the data to the endpoint encumbers fewer resources of the network.

Abstract: Various embodiments for enhancing storage of deduplicated data in a computing storage environment. Analytics are applied to at least one data storage characteristic observed in the computing storage environment to restructure the deduplicated data in a more sequential manner so as to enhance performance of the computing storage environment. A type of storage device associated with the deduplicated data is monitored, and the analytics are withheld from application when the type of storage device is determined to be a solid-state device. The restructuring of the deduplicated data in the sequential manner is performed by comparing the at least one data storage characteristic against at least one predetermined thresholds, one of the at least one predetermined thresholds prohibiting a particular block of the deduplicated data from being restructured when the particular block of deduplicated data has been previously moved in the computing storage environment within a predefined timeframe.

Abstract: Embodiments for, in an object storage environment, deduplicating data within and between distributed computing components by a processor. A deduplication operation is paired with metadata associated with a data object to determine data necessitating deduplication before the data object is transferred and written to a local node.

Abstract: Embodiments for facility management by a processor. Operations are performed to collect and track environmentally-related data of the facility over time. Predictive analytics are applied to the environmentally-related data to generate decisions that are dynamically applied to environmental settings of the facility.

Abstract: Embodiments for managing social commentary as applicable to social media by a processor. A spectrum of weights is assigned to individual portions of the social commentary as a function of a determined measured characteristic. Those of the individual portions having a higher weight than a predetermined threshold are selected to be displayed through the social media in a hierarchy corresponding to a position in the spectrum of weights, while those of the individual portions having a lower weight than the predetermined threshold are selected to be withheld from display. A deduplication operation is applied to individual portions of the social commentary. Those of the individual portions determined to be repetitive greater than a predetermined number are used to assist in formulating weights of the individual portions.

Abstract: Embodiments for managing social commentary as applicable to social media by a processor. A spectrum of weights is assigned to individual portions of the social commentary as a function of a determined measured characteristic. Those of the individual portions having a higher weight than a predetermined threshold are selected to be displayed through the social media in a hierarchy corresponding to a position in the spectrum of weights, while those of the individual portions having a lower weight than the predetermined threshold are selected to be withheld from display. A deduplication operation is applied to individual portions of the social commentary. Those of the individual portions determined to be repetitive greater than a predetermined number are used to assist in formulating weights of the individual portions.

Abstract: Embodiments for management of a parking facility by a processor. Operations are performed to collect and track data of the parking facility over time from a plurality of sources including data representative of physical use of the parking facility and data obtained aside from the physical use data. Predictive analytics are applied to a totality of the physical use and other data to generate decisions that are implemented for the parking facility. The decisions anticipate individual behavior pertaining to the parking facility.

Abstract: Embodiments for managing social commentary as applicable to social media by a processor. A spectrum of weights is assigned to individual portions of the social commentary as a function of a determined measured characteristic. Those of the individual portions having a higher weight than a predetermined threshold are selected to be displayed through the social media in a hierarchy corresponding to a position in the spectrum of weights, while those of the individual portions having a lower weight than the predetermined threshold are selected to be withheld from display. A deduplication operation is applied to the individual portions of the social commentary. Those of the individual portions determined to be repetitive greater than a predetermined number are used to assist in formulating weights of the individual portions.

Abstract: Embodiments for accurately tracking objects in three-dimensional space by at least one processor device. Inter-device communications are sent between a plurality of stationary radio frequency elements to triangulate a three-dimensional position between the plurality of stationary radio frequency elements and a tracking element registerable to a user, the tracking element also in radio frequency communication with the plurality of stationary radio frequency elements. The tracking element moves, and is tracked by, the plurality of stationary radio frequency elements through the three-dimensional space.

Abstract: Various embodiments for data management across a multiple-tiered storage organization by a processor. Data operations performed across the multiple-tiered storage organization are analyzed over a period of time sufficient to determine usage patterns of the data. Predictive analytics is applied to the usage patterns. Based on the predictive analytics, segments of the data are moved between the multiple-tiered storage organization according to a determined priority account for available system resources, to optimize storage characteristics of the data in the multiple-tiered storage organization.

Abstract: For predictive computing resource allocation in a distributed environment, a model module generating a model of computing resource usage in a distributed computer system having a plurality of geographically distributed nodes organized into a plurality of clusters, a demand module predicting future demand for computing resources, a cost module calculating an operation cost for each computing resource, an available resource module identifying a set of available computing resources in the computer system, a resource set module that determines a minimum cost set of computer resources capable of meeting the predicted demand based on the set of available computing resources and on operating costs, and an activation module that determines whether to activate or deactivate each of the plurality of nodes based on the set of computer resources capable of meeting the predicted demand.

Abstract: A host sends an I/O transaction. The I/O transaction relates to a read or write operation for a first datum. A first listening service which manages I/O transactions for a first set of addresses receives the I/O transaction. The first listening service forwards the I/O transaction to a second listening service. The second listening service manages I/O transactions for a second set of addresses. The second listening service executes the I/O transaction at a selected address of the second set of addresses. The second listening service creates a data packet to respond to the I/O transaction. The header of the data packet includes the selected address. The second listening service transmits the data packet to the host. The host uses the selected address to update a database which includes addresses of data within.

Abstract: Various embodiments for enhancing storage of deduplicated data in a computing storage environment. Analytics are applied to at least one data storage characteristic observed in the computing storage environment to restructure the deduplicated data in a more sequential manner so as to enhance performance of the computing storage environment. A type of storage device associated with the deduplicated data is monitored, and the analytics are withheld from application when the type of storage device is determined to be a solid-state device. The restructuring of the deduplicated data in the sequential manner is performed by comparing the at least one data storage characteristic against at least one predetermined thresholds, one of the at least one predetermined thresholds prohibiting a particular block of the deduplicated data from being restructured when the particular block of deduplicated data has been previously moved in the computing storage environment within a predefined timeframe.

Abstract: Various embodiments for audibly mapping computing components in a computer storage system, by a processor device, are provided. In one embodiment, a method comprises creating a detectible audible pattern using an actuator arm and head assembly of a hard disk drive operating in the computer storage system for physically mapping the hard disk drive to a logical location within the computer storage system.