Abstract: Disclosed herein are system, method, and computer program product embodiments for providing traffic visibility in a network. An embodiment operates by a third-party component receiving a copy of a first data packet during a first period of time. The third-party component extracts a first network parameter associated with the first period of time from the copy of the first data packet. The third-party component then predicts a baseline of normalcy for the first network parameter during a second period of time after the first period of time based on data associated with a copy of a second data packet and the first network parameter. Thereafter, the third-party component receives a copy of a third data packet during the second period of time, and extracts a second network parameter from the copy of the third data packet. The third-party component then determines that the second network parameter of the copy of the second data packet is an anomaly based on the baseline of normalcy for the first network parameter.

Abstract: Disclosed herein are system, method, and computer program product embodiments for providing traffic visibility in a network. An embodiment operates by a third-party component in communication with a network component—each located at a network's edge—maintaining a rule table including a first rule comprising first identifiers and a first action for deriving a first packet characteristic. The third-party component receives a first packet copy including second identifiers from the network component. Upon the second identifiers matching the first identifiers, the third-party component determines the rule table's second rule includes a second action for deriving a second packet characteristic. Thereafter, the third-party component receives a second packet copy comprising third identifiers from the network component.

Abstract: A hose extrusion mandrel for manufacturing rubber hoses includes: a solid thermoplastic, elongate core; and a rubber compound outer layer covering a surface of the elongate core. A ratio between a diameter of the core and a thickness of the rubber compound layer may be between 8 and 11.

Abstract: A method and system for health rank based virtual machine restoration using a conformal framework. With respect to enterprise data protection, solutions need to address two primary responsibilities: at the onset of failure or disaster, restore any running applications, as well as any lost or damaged data; and minimize (if not eliminate) the future occurrence of such failures or disasters. In tackling the latter responsibility, the disclosed method and system leverage health-score assessments to ensure the restoration of virtual machines onto healthy infrastructure. The aforementioned health-score assessments employ clustering to identify, and a conformal framework to rank, healthy hosts onto which virtual machines may be restored.

Abstract: Methods, apparatus, and processor-readable storage media for analyzing time series data for sets of devices using machine learning techniques are provided herein. An example computer-implemented method includes processing time series data from multiple devices; generating at least one data forecast by applying, in response to a request from at least one user, one or more machine learning techniques to at least a portion of the processed time series data; computing one or more qualifying values attributable to the at least one generated data forecast by providing the at least one generated data forecast and the at least a portion of the processed time series data to a conformal prediction framework; and performing one or more automated actions based at least in part on the at least one generated data forecast and the one or more computed qualifying values.

Abstract: Embodiments are described for an autonomously and dynamically allocating resources in a distributed network based on forecasted a-priori CPU resource utilization, rather than a manual throttle setting. A multivariate (CPU idle %, disk I/O, network and memory) rather than single variable approach for Probabilistic Weighted Fuzzy Time Series (PWFTS) is used for forecasting compute resources. The dynamic throttling is combined with an adaptive compute change rate detection and correction. A single spike detection and removal mechanism is used to prevent the application of too many frequent throttling changes. Such a method can be implemented for several use cases including, but not limited to: cloud data migration, replication to a storage server, system upgrades, bandwidth throttling in storage networks, and garbage collection.

Abstract: Methods, apparatus, and processor-readable storage media for implementing dual relationship-based hash structures for non-volatile memory technology are provided herein. An example computer-implemented method includes generating a hash storage structure by: creating multiple layers of storage components, wherein a first layers comprise a first number of storage components and at least a second layer comprises at least a second number of storage components less than the first number of storage components; configuring the at least a second layer to share at least a portion of the storage components therein with at least a portion of the storage components in the first layer; partitioning each of the storage components in each of the multiple layers into multiple portions; configuring a respective status value space for each of the multiple portions of each of the storage components in the multiple layers; and implementing the hash storage structure in at least one storage system.

Abstract: Methods, apparatus, and processor-readable storage media for automatically allocating device resources using machine learning techniques are provided herein. An example computer-implemented method includes determining values for multiple parameters from data obtained from one or more devices; generating at least one device component failure prediction by applying one or more machine learning techniques to at least a portion of the determined values; computing one or more qualifying values attributable to the at least one generated device component failure prediction by providing the at least one generated device component failure prediction to a conformal prediction framework; and automatically allocating one or more resources to at least a portion of the one or more devices based at least in part on the at least one generated device component failure prediction and the one or more computed qualifying values.

Abstract: A method and system for health rank based virtual machine restoration using a conformal framework. With respect to enterprise data protection, solutions need to address two primary responsibilities: at the onset of failure or disaster, restore any running applications, as well as any lost or damaged data; and minimize (if not eliminate) the future occurrence of such failures or disasters. In tackling the latter responsibility, the disclosed method and system leverage health-score assessments to ensure the restoration of virtual machines onto healthy infrastructure. The aforementioned health-score assessments employ clustering to identify, and a conformal framework to rank, healthy hosts onto which virtual machines may be restored.

Abstract: Drives of a RAID group are classified as either healthy or failing using a trained learning process. The failure probability is then determined for each failing drive using a Venn-ABERS framework which provides a boundary range on the failure prediction probability. A variable sparing mechanism is used to enable one or more drives of the RAID group to be used as dual-purpose drives. In a first state, the dual-purpose drives are user-addressable drives and are available to be used to process IO workload on the RAID group. Spreading the IO workload on the RAID group across a larger number of drives results in increased performance in the form of reduced latency. In a second state, the dual-purpose drives are not user-addressable and are spare drives in the RAID group, which improves the level of protection provided to data stored in the RAID group.

Abstract: A hose extrusion mandrel for manufacturing rubber hoses includes: a solid thermoplastic, elongate core; and a rubber compound outer layer covering a surface of the elongate core. A ratio between a diameter of the core and a thickness of the rubber compound layer may be between 8 and 11.

Abstract: Drives of a RAID group are classified as either healthy or failing using a trained learning process. The failure probability is then determined for each failing drive using a Venn-ABERS framework which provides a boundary range on the failure prediction probability. A variable sparing mechanism is used to enable one or more drives of the RAID group to be used as dual-purpose drives. In a first state, the dual-purpose drives are user-addressable drives and are available to be used to process IO workload on the RAID group. Spreading the IO workload on the RAID group across a larger number of drives results in increased performance in the form of reduced latency. In a second state, the dual-purpose drives are not user-addressable and are spare drives in the RAID group, which improves the level of protection provided to data stored in the RAID group.

Abstract: Methods, apparatus, and processor-readable storage media for implementing dual relationship-based hash structures for non-volatile memory technology are provided herein. An example computer-implemented method includes generating a hash storage structure by: creating multiple layers of storage components, wherein a first layers comprise a first number of storage components and at least a second layer comprises at least a second number of storage components less than the first number of storage components; configuring the at least a second layer to share at least a portion of the storage components therein with at least a portion of the storage components in the first layer; partitioning each of the storage components in each of the multiple layers into multiple portions; configuring a respective status value space for each of the multiple portions of each of the storage components in the multiple layers; and implementing the hash storage structure in at least one storage system.

Abstract: Embodiments are described for an autonomously and dynamically allocating resources in a distributed network based on forecasted a-priori CPU resource utilization, rather than a manual throttle setting. A multivariate (CPU idle %, disk I/O, network and memory) rather than single variable approach for Probabilistic Weighted Fuzzy Time Series (PWFTS) is used for forecasting compute resources. The dynamic throttling is combined with an adaptive compute change rate detection and correction. A single spike detection and removal mechanism is used to prevent the application of too many frequent throttling changes. Such a method can be implemented for several use cases including, but not limited to: cloud data migration, replication to a storage server, system upgrades, bandwidth throttling in storage networks, and garbage collection.

Abstract: Methods, apparatus, and processor-readable storage media for analyzing time series data for sets of devices using machine learning techniques are provided herein. An example computer-implemented method includes processing time series data from multiple devices; generating at least one data forecast by applying, in response to a request from at least one user, one or more machine learning techniques to at least a portion of the processed time series data; computing one or more qualifying values attributable to the at least one generated data forecast by providing the at least one generated data forecast and the at least a portion of the processed time series data to a conformal prediction framework; and performing one or more automated actions based at least in part on the at least one generated data forecast and the one or more computed qualifying values.

Abstract: Methods, apparatus, and processor-readable storage media for automatically allocating device resources using machine learning techniques are provided herein. An example computer-implemented method includes determining values for multiple parameters from data obtained from one or more devices; generating at least one device component failure prediction by applying one or more machine learning techniques to at least a portion of the determined values; computing one or more qualifying values attributable to the at least one generated device component failure prediction by providing the at least one generated device component failure prediction to a conformal prediction framework; and automatically allocating one or more resources to at least a portion of the one or more devices based at least in part on the at least one generated device component failure prediction and the one or more computed qualifying values.

Abstract: A curing composition for rubber includes: a metallic co-agent selected from the group consisting of zinc diacrylate and zinc methacrylate; organic peroxide; sulfur; and a hydrotalcite compound. The curing composition and a rubber matrix can be used to make an uncured rubber composition. A cured rubber is obtainable by curing the uncured rubber composition.

Abstract: Embodiments are described for an autonomously and dynamically allocating resources in a distributed network based on forecasted a-priori CPU resource utilization, rather than a manual throttle setting. A multivariate (CPU idle %, disk I/O, network and memory) rather than single variable approach for Probabilistic Weighted Fuzzy Time Series (PWFTS) is used for forecasting compute resources. The dynamic throttling is combined with an adaptive compute change rate detection and correction. A single spike detection and removal mechanism is used to prevent the application of too many frequent throttling changes. Such a method can be implemented for several use cases including, but not limited to: cloud data migration, replication to a storage server, system upgrades, bandwidth throttling in storage networks, and garbage collection.

Abstract: Disclosed herein are system, method, and computer program product embodiments for providing traffic visibility in a network. An embodiment operates by a third-party component in communication with a network component—each located at a network's edge—maintaining a rule table including a first rule comprising first identifiers and a first action for deriving a first packet characteristic. The third-party component receives a first packet copy including second identifiers from the network component. Upon the second identifiers matching the first identifiers, the third-party component determines the rule table's second rule includes a second action for deriving a second packet characteristic. Thereafter, the third-party component receives a second packet copy comprising third identifiers from the network component.

Abstract: The present invention provides hemostatic compositions comprising components of the flowers of pharmaceutical chamomile (Chamomilla recutita), the leaves of dioecious nettle (Urtica dioica), kaolin, chitosan, fibrinogen and thrombin. Further inclusion of a biocompatible polymeric base, particularly an alignate, generates a composition with superior and broad spectrum hemostatic capabilities, including the ability to arrest arterial hemorrhage. The invention further provides methods of using the inventive compositions in to reduce or stop bleeding, as well as a variety of apparatuses useful in hemostatic contexts that incorporate the inventive compositions. In one particular embodiment, the invention provides hemostatic dressings in which a polymeric layer incorporating chamomile, nettle, kaolin, chitosan, fibrinogen and thrombin components is applied to a textile or fabric material, for example a non-woven viscose.