Abstract: Embodiments for implementing change control management in computing center environments by a processor. A determination is made of a present status of a monitored component of a computing device in the computer center environment. A recording, using at least one sensor device, of a change of the present status of the monitored component, including a time stamp and information identifying an owner of the change is made. An analysis of a trend of status of the monitored component over time is made to generate an accurate prediction of future activity towards the monitored component.

Abstract: Various embodiments for streamlining data deduplication by a processor. In file storage utilizing re-writable storage media with data deduplication, a host layer file system is informed of available file space based on at least one of an available plurality of tracking operations performed by the processor, thereby providing an adjustable virtual free capacity file of deduplication pointers to facilitate deduplication functionality across a plurality of storage devices. As one of the available plurality of tracking devices, an actual block utilization tracking operation is utilized for gathering periodic statistics from deduplicating sources to enable analysis of trends in storage capacity utilization.

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.

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: 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, 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 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 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 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 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, 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: For enhancing data replication in a complex computer storage network by a computer processor device, data usage analytics, in conjunction with historical data transfer patterns, are used to generate predictive assumptions of storage resources in the complex storage network such that the storage resources are allocated and released commensurately with availability of the complex storage network to facilitate efficient data replication across the complex storage network.

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 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.

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 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: 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: 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: 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 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.