Abstract: An example methodology includes, by a computing device, determining a recurring time period during which performance data breaches a performance data threshold and applying a data exclusion window on the recurring time period, wherein performance data within the data exclusion window are excluded from system performance calculations. The method also includes, by the computing device, retrieving historical performance data associated with the data exclusion window and determining a percentage of the historical performance data that breach the performance data threshold. The method further includes, responsive to a determination that the percentage of the historical performance data that breach the performance data threshold is within an acceptable breach threshold, removing, by the computing device, the data exclusion window on the recurring time period.

Abstract: A method, comprising: generating a plurality of combined utilization vectors, each of the plurality of combined utilization vectors corresponding to a different one of a plurality of port pairs; updating the plurality of combined utilization vectors based on an expected usage of the storage entity to produce a plurality of updated utilization vectors; selecting one of the plurality of port pairs based on the plurality of updated utilization vectors; and assigning the selected port pair to the replication of data that is stored in the storage entity.

Abstract: A method and apparatus for automating creation of multiple simultaneous software development environments on a development machine is provided. Automation code, for example implemented using Python script, reads a text file such as a JSON file describing the development environment to be created. The automation code is configured to locate (locally or in a software repository) and download the supporting software identified in the text file and required to be included in the development environment. The automation code is also configured to determine a set of ports used by the supporting software to communicate with the development machine, and to search for a set of available ports on the development machine that are available and able to be mapped to the development environment. The automation code modifies supporting software configuration files to reflect the port assignments and builds a container including the software code and associated configuration files.

Abstract: An example methodology includes, by a computing device, determining a recurring time period during which performance data breaches a performance data threshold and applying a data exclusion window on the recurring time period, wherein performance data within the data exclusion window are excluded from system performance calculations. The method also includes, by the computing device, retrieving historical performance data associated with the data exclusion window and determining a percentage of the historical performance data that breach the performance data threshold. The method further includes, responsive to a determination that the percentage of the historical performance data that breach the performance data threshold is within an acceptable breach threshold, removing, by the computing device, the data exclusion window on the recurring time period.

Abstract: One or more aspects of the present disclosure relate to managing system operations. For example, in embodiments, an input/output (IO) workload can be received by a storage array. Further, one or more array-related operations can be initiated during one or more low IO load points the system workload places on the storage array.

Abstract: Workload from a host or a set of hosts is directed to a set of storage volumes that are formed from storage resources that are grouped together in a storage group on a storage system. The workload on the storage group impacts many components of the storage system, including front-end ports and directors, shared global memory, back-end ports and directors, and back-end storage resources. The workload may also affect systems applications such as remote data forwarding (RDF) applications that also consume storage system resources such as RDF ports and directors and shared global memory. A workload planner characterizes workloads on the storage groups and overall workloads on components of the storage system, and contains control logic configured to resolve capacity recovery across multiple components of a storage system in connection with simulated removal of a storage group from the storage system.

Abstract: Data migration between a source storage system and a target storage system is automated by calculating the optimal time window or group of consecutive time windows in which to execute the data migration, where optimality is defined in terms of source storage system and target storage system utilizations combined in a manner that accounts for differences between the source storage system and target storage system utilizations. Source and target storage system utilization scores are calculated for each of a plurality of time windows of at least one representative time period. A source-target load score is calculated for each of the time windows based on the source storage system utilization scores and the target storage system utilization scores. At least one of the time windows is selected based on the source-target load scores.

Abstract: A method and apparatus for automating creation of multiple simultaneous software development environments on a development machine is provided. Automation code, for example implemented using Python script, reads a text file such as a JSON file describing the development environment to be created. The automation code is configured to locate (locally or in a software repository) and download the supporting software identified in the text file and required to be included in the development environment. The automation code is also configured to determine a set of ports used by the supporting software to communicate with the development machine, and to search for a set of available ports on the development machine that are available and able to be mapped to the development environment. The automation code modifies supporting software configuration files to reflect the port assignments and builds a container including the software code and associated configuration files.

Abstract: One or more aspects of the present disclosure relate to managing system operations. For example, in embodiments, an input/output (IO) workload can be received by a storage array. Further, one or more array-related operations can be initiated during one or more low IO load points the system workload places on the storage array.

Abstract: Storage object groups uniquely associated with respective host applications are processed to model, for each host application, the relationship between current utilized storage capacity of each host application and greatest possible utilized storage capacity of each host application without exhausting either the storage capacity of the storage system or the performance capacity of the storage system. The modeled relationships may be used to calculate headroom and performance impact scores for each host application. Storage object groups that have insufficient headroom for growth, e.g., as indicated by performance impact score, are deemed to be associated with host application workloads that are candidates for migration to a different storage system. The candidates may be ranked and selected for migration based on performance impact scores.

Abstract: Storage object groups uniquely associated with respective host applications are processed to model, for each host application, the relationship between current utilized storage capacity of each host application and greatest possible utilized storage capacity of each host application without exhausting either the storage capacity of the storage system or the performance capacity of the storage system. The modeled relationships may be used to calculate headroom and performance impact scores for each host application. Storage object groups that have insufficient headroom for growth, e.g., as indicated by performance impact score, are deemed to be associated with host application workloads that are candidates for migration to a different storage system. The candidates may be ranked and selected for migration based on performance impact scores.

Abstract: A workload planner is used to determine headroom and SLE (Service Level Expectation) compliance of a storage system. The historical workload of the storage system over a set of monitoring intervals is obtained, and optionally a new workload to be moved to the storage system is added to the historical workload. Headroom compliance for components of the storage system, and service level expectation compliance on a per-storage group basis are determined by the workload planner. If a headroom or service level expectation violation is determined for one or more of the monitoring intervals, a set of rules are applied to selectively remove monitoring intervals from the time series. The redacted time series is then used to determine headroom and service level expectation compliance. If no violations are found, based on the redacted time series, the storage system meets headroom and SLE requirements.

Abstract: A workload planner is used to determine headroom and SLE (Service Level Expectation) compliance of a storage system. The historical workload of the storage system over a set of monitoring intervals is obtained, and optionally a new workload to be moved to the storage system is added to the historical workload. Headroom compliance for components of the storage system, and service level expectation compliance on a per-storage group basis are determined by the workload planner. If a headroom or service level expectation violation is determined for one or more of the monitoring intervals, a set of rules are applied to selectively remove monitoring intervals from the time series. The redacted time series is then used to determine headroom and service level expectation compliance. If no violations are found, based on the redacted time series, the storage system meets headroom and SLE requirements.

Abstract: A method and apparatus for assigning an allocated workload in a data center having multiple storage systems includes selecting one or more storage systems to be assigned the allocated workload based on a combination of performance impact scores and deployment scores. By considering both performance impact and deployment effort, the allocated workload is able to be assigned with a view not only toward storage system performance, but also with a view toward how deployment on a particular storage system would comply with data center policies and the amount of configuration effort it would take to enable the workload to be implemented on the target storage system. This enables workloads to be allocated within the data center while minimizing the required amount of configuration or reconfiguration required to implement the workload allocation within the data center.

Abstract: The present invention provides a system and method for fail-safe call survival by detecting failure of an active call serving component and switching the service over to a standby component. The system and method will prevent an existing call, whether established or to be established, from being dropped due to a single point of failure within a Voice over Internet Protocol system. The continuation of the call is based on the failed component as opposed to relying on communication endpoints to re-initiate or re-route the failed call. Call recovery is initiated independent from the call path of a call. The detection of a condition or need for call recovery and the determination to initiate call recovery procedures are made without involving endpoints or intermediate points of the call. The availability and sanity of all components are continuously monitored and are tailored specifically for the duties of each component.

Abstract: A fight analysis system to objectively determine the quality and quantity of strikes in a fight. In one exemplary embodiment, one fighter wears a receiving module having a plurality of passive RFID tags at different locations that are read by a striking module (e.g., a knife) when the striking module lands on, or comes in proximity to, the receiving module, to provide the location of a strike. Force sensors in the striking module enable determination of the type and force of a landed strike. A graphical user interface module displays information gathered by the fight analysis system.

Abstract: An apparatus comprises an implantable cardiac signal sensing circuit configured to produce a sensed cardiac signal representative of cardiac activity of a subject and a controller communicatively coupled to the cardiac signal sensing circuit. The controller includes a sensing module configured to detect a cardiac depolarization using the sensed cardiac signal and an arrhythmia detection module. The arrhythmia detection module is configured to detect a depolarization rate or interval that satisfies a first tachyarrhythmia detection rate zone threshold, adjust a specified detection duration threshold for the tachyarrhythmia detection zone according to the detected depolarization rate, declare that the detected depolarization rate is an episode of tachyarrhythmia when the detected depolarization rate is sustained for the adjusted detection duration threshold, and provide an indication of the tachyarrhythmia to a user or process.

Abstract: A fight analysis system to objectively determine the quality and quantity of strikes in a fight. In one exemplary embodiment, one fighter wears a receiving module having a plurality of passive RFID tags at different locations that are read by a striking module (e.g., a knife) when the striking module lands on, or comes in proximity to, the receiving module, to provide the location of a strike. Force sensors in the striking module enable determination of the type and force of a landed strike. A graphical user interface module displays information gathered by the fight analysis system.

Abstract: The present invention provides a system and method for fail-safe call survival by detecting failure of an active call serving component and switching the service over to a standby component. The system and method will prevent an existing call, whether established or to be established, from being dropped due to a single point of failure within a Voice over Internet Protocol system. The continuation of the call is based on the failed component as opposed to relying on communication endpoints to re-initiate or re-route the failed call. Call recovery is initiated independent from the call path of a call. The detection of a condition or need for call recovery and the determination to initiate call recovery procedures are made without involving endpoints or intermediate points of the call. The availability and sanity of all components are continuously monitored and are tailored specifically for the duties of each component.

Abstract: A fight analysis system to objectively determine the quality and quantity of strikes in a fight. In one exemplary embodiment, one fighter wears a plurality of passive RFID tags at different locations that are read by a striking module (e.g., a knife) when the striking module lands on, or comes in proximity to, the fighter, to provide the location of a strike. Force sensors in the striking module enable determination of the type and force of a landed strike. In another exemplary embodiment, force sensors (e.g., pressure sensors used with fluid bladders) are used to determine both the location and the force associated with a landed strike. A graphical user interface module displays information gathered by the fight analysis system.