Abstract: A shared networked storage may be separated from a key vault system. A storage request with data to be stored and the storage request with a confidentiality rating may be received. The confidentiality rating may indicate a level of confidentiality the data is associated with. The storage request with the data and the confidentiality rating may be received via a shared networked storage access interface by a security layer. The data to be stored by the key vault system and the confidentiality rating may be encrypted on request of the security layer and into a data container. The shared networked storage may be categorized into Cloud zones. Each Cloud zone may be assigned a trust level. The data container may be stored in one of the Cloud zones of the shared networked storage. The trust level of the one of the Cloud zones may correspond to the confidentiality rating.

Abstract: A shared networked storage may be separated from a key vault system. A storage request with data to be stored and the storage request with a confidentiality rating may be received. The confidentiality rating may indicate a level of confidentiality the data is associated with. The storage request with the data and the confidentiality rating may be received via a shared networked storage access interface by a security layer. The data to be stored by the key vault system and the confidentiality rating may be encrypted on request of the security layer and into a data container. The shared networked storage may be categorized into Cloud zones. Each Cloud zone may be assigned a trust level. The data container may be stored in one of the Cloud zones of the shared networked storage. The trust level of the one of the Cloud zones may correspond to the confidentiality rating.

Abstract: A method and system for tracking a course of a cable using electromagnetic waves. A first distance between a first transceiver and a second transceiver is determined by determining a total transmission time for a first wireless signal traveling in a linear line from the first transceiver to the second transceiver and back to the first transceiver in the linear line, wherein the first transceiver and the second transceiver each include a receiver and a transmitter. A second distance between the first transceiver and the second transceiver is determined by comparing a phase difference between the first signal received by the second transmitter and a second signal received by the second transmitter, wherein the second signal was transmitted from the first transceiver into the cable and received by the second transceiver wirelessly from the cable, and wherein the first signal and the second signal are phase aligned.

Abstract: A method and system for tracking a course of a cable using electromagnetic waves. A first transceiver sends to a second transceiver a first signal wirelessly in a linear line. The second transceiver sends back to the first transceiver the first signal in the linear line. A first distance between the first transceiver and the second transceiver is determined by determining a total transmission time for a first wireless signal travelling from the first transceiver to the second transceiver and back to the first transceiver. A second signal, aligned with the first signal, is transmitted from the first transceiver into the cable. The second transceiver receives the second signal wirelessly from the cable. A second distance between the first transceiver and the second transceiver is determined by comparing a phase difference between the first signal received by the second transmitter and the second signal received by the second transmitter.

Abstract: An embodiment of the invention may include a method, computer program product, and system for improving I/O performance in a heterogeneous storage environment. The embodiment may include storage devices of different storage device types having different I/O performances. Each of the storage devices is accessible via a SAS interface. The embodiment may include identifying a plurality of storage devices of the heterogeneous storage environment. The embodiment may include creating a table including information about identifiable storage devices and attributes. The embodiment may include separating a block I/O data stream into storage device type classes. The embodiment may include routing I/O requests of corresponding device type classes to their assigned physical lanes using the information included in the table, thereby improving the I/O performance of the heterogeneous storage environment.

Abstract: Data may be handled based on compressibility (i.e., whether the data may be further compressed or is not further compressible). A supervised learning model may be trained using a set of known further compressible data and a set of known non-compressible data. Using these data sets, the model may generate weighting factors and bias for the particular data sets. The trained model may then be used to evaluate a set of unclassified data.

Abstract: The invention relates to a tiered storage system comprising tiers of data storage. The tiered storage system further comprises a processor; and a memory coupled to the processor. The memory comprises instructions which, when executed by the processor, cause the processor to: receive usage data descriptive of usage of memory extents stored by the tiered storage system; identify periodic usage patterns of the memory extents at least partially by calculating a correlation coefficient between the usage data and a predetermined list of conditions; determine a projected data usage for each of the memory extents using the periodic usage patterns, wherein the projected data usage is temporally dependent; sort the memory extents into usage bins according to the projected data usage; and control the tiers of data storage to migrate the at memory extents between the tiers of data storage using temporal changes of the sorting into the usage bins.

Abstract: For efficient data storage utilization and recycling, gradually degrading data according to data classes and using degrading data policies, predefined degrading rules, and data access patterns for conserving storage space prior. Each data class is associated with one of a plurality of degrading data policies, and each data policy includes a plurality of degrading rules to be applied to a corresponding data class of a corresponding data policy, the degrading rules defining data classes to be degraded based on data access patterns per data class to automatically degrade the data items according to each of the plurality of data classes until a predefined expiration date. Essential data is defined by a user such that the essential data is not subject to the data degradation so as to preserve at least a portion of files, documents, and videos comprising the essential data.

Abstract: A method and system for tracking a course of a cable using electromagnetic waves. A first transceiver sends to a second transceiver a first signal wirelessly in a linear line. The second transceiver sends back to the first transceiver the first signal in the linear line. A first distance between the first transceiver and the second transceiver is determined by determining a total transmission time for a first wireless signal travelling from the first transceiver to the second transceiver and back to the first transceiver. A second signal, aligned with the first signal, is transmitted from the first transceiver into the cable. The second transceiver receives the second signal wirelessly from the cable. A second distance between the first transceiver and the second transceiver is determined by comparing a phase difference between the first signal received by the second transmitter and the second signal received by the second transmitter.

Abstract: A method, computer system, and a computer program product for integrated failure indication is provided. The present invention may include receiving a plurality of sensor data from a plurality of sensors mounted within the tape system. The present invention may then include determining that the received plurality of sensor data is abnormal. The present invention may then include generating an alert based on determining that the received plurality of sensor data is abnormal. The present invention may lastly include sending the generated alert to a program manager.

Abstract: Provided is a system having a cluster of communication controllers, a method for modification of the latter, and a computer program product carrying computer executable code for execution of the method. Each communication controller is operable for providing network connections of the system with external computer systems using communication protocols of a first type and a second type. The first type is a failover tolerant communication protocol type. The second type is a failover non-tolerant communication protocol type. All network connections of each communication controller are disconnected during the modification of said communication controller. The method for modifying the cluster of communication controllers includes splitting the communication controllers into a first pool and a second pool.

Abstract: Data may be handled based on compressibility (i.e., whether the data may be further compressed or is not further compressible). A supervised learning model may be trained using a set of known further compressible data and a set of known non-compressible data. Using these data sets, the model may generate weighting factors and bias for the particular data sets. The trained model may then be used to evaluate a set of unclassified data.

Abstract: Provided is a system having a cluster of communication controllers, a method for modification of the latter, and a computer program product carrying computer executable code for execution of the method. Each communication controller is operable for providing network connections of the system with external computer systems using communication protocols of a first type and a second type. The first type is a failover tolerant communication protocol type. The second type is a failover non-tolerant communication protocol type. All network connections of each communication controller are disconnected during the modification of said communication controller. The method for modifying the cluster of communication controllers includes splitting the communication controllers into a first pool and a second pool.

Abstract: A user-specific, electroencephalogram data-based secure encryption generator maps artificial neural network neuron elements to electroencephalogram data signals generated from scanning neural activity of a user while the user executes a mental activity. Weighting factors are trained to transform the electroencephalogram data signals into a first set of weighted signals that are different from weighted signals generated from scanning neural activity of the user while the user executes another, different activity, and from weighted signals generated from scanning neural activity of another user while executing a similar mental activity. The trained weighting factors are associated with the first set of electroencephalogram data signals and the current mental activity. Thus, a reproducible electroencephalogram encryption key is defined that is unique to the user as a function of one or both of the trained weighting factors and the first weighted set of electroencephalogram data signals.

Abstract: An embodiment of the invention may include a method, computer program product, and system for improving I/O performance in a heterogeneous storage environment. The embodiment may include storage devices of different storage device types having different I/O performances. Each of the storage devices is accessible via a SAS interface. The embodiment may include identifying a plurality of storage devices of the heterogeneous storage environment. The embodiment may include creating a table including information about identifiable storage devices and attributes. The embodiment may include separating a block I/O data stream into storage device type classes. The embodiment may include routing I/O requests of corresponding device type classes to their assigned physical lanes using the information included in the table, thereby improving the I/O performance of the heterogeneous storage environment.

Abstract: A cognitive hierarchical storage-management system receives feedback describing users' satisfaction with the way that prior data-access requests have been serviced. The system uses this feedback to associate each previously requested data element's metadata and storage tier with a level of user satisfaction. As feedback continues to be received, the system uses machine-learning methods to identify how closely specific metadata patterns correlate with certain levels of user satisfaction and with certain storage tiers. The system then uses these associations when determining whether it should migrate data associated with a particular metadata pattern to a different tier.

Abstract: Aspects of the present invention disclose a method, computer program product, and system for establishing an optical communication link. The method includes one or more processors controlling an optical detection apparatus to scan an environment to detect at least one marker. The method further includes one or more processors detecting a first marker of the one or more markers, wherein the first marker includes information that indicates a location of a first optical access point. The method further includes one or more processors determining the location of the first optical access point based on an analysis of the first marker. The method further includes one or more processors controlling an optical communication apparatus to align with the determined location of the first optical access point. The method further includes one or more processors establishing an optical communication link between the optical communication apparatus and the first optical access point.

Abstract: A user-specific, electroencephalogram data-based secure encryption generator maps artificial neural network neuron elements to electroencephalogram data signals generated from scanning neural activity of a user while the user executes a mental activity. Weighting factors are trained to transform the electroencephalogram data signals into a first set of weighted signals that are different from weighted signals generated from scanning neural activity of the user while the user executes another, different activity, and from weighted signals generated from scanning neural activity of another user while executing a similar mental activity. The trained weighting factors are associated with the first set of electroencephalogram data signals and the current mental activity. Thus, a reproducible electroencephalogram encryption key is defined that is unique to the user as a function of one or both of the trained weighting factors and the first weighted set of electroencephalogram data signals.

Abstract: Data may be handled based on compressibility (i.e., whether the data may be further compressed or is not further compressible). A supervised learning model may be trained using a set of known further compressible data and a set of known non-compressible data. Using these data sets, the model may generate weighting factors and bias for the particular data sets. The trained model may then be used to evaluate a set of unclassified data.

Abstract: For efficient data storage utilization and recycling, gradually degrading data according to data classes and using degrading data policies, predefined degrading rules, and data access patterns for conserving storage space prior. Each data class is associated with one of a plurality of degrading data policies, and each data policy includes a plurality of degrading rules to be applied to a corresponding data class of a corresponding data policy, the degrading rules defining data classes to be degraded based on data access patterns per data class to automatically degrade the data items according to each of the plurality of data classes until a predefined expiration date. Essential data is defined by a user such that the essential data is not subject to the data degradation so as to preserve at least a portion of files, documents, and videos comprising the essential data.