Abstract: One example method includes receiving, by a telemetry collection manager from a telemetry consumer, brightness information concerning data accessed by the telemetry consumer, using, by the telemetry collection manager, the brightness information to determine a collection frequency for telemetry concerning the data, and transmitting, by the telemetry collection manager, telemetry collection frequency information to a telemetry generator. In this way, the telemetry consumer is able to control an amount and timing of telemetry generated by the telemetry generator.

Abstract: A method and system for intelligently provisioning resources in storage systems. Specifically, the method and system disclosed herein entail throttling the allocation of resources aiding in the performance of background service tasks on a backup storage system. That is, throughout a predicted span of a background service task, resources may be dynamically allocated towards the performance of the background service task at discrete time intervals within the predicted span, thereby improving overall system utilization.

Abstract: A method and system for dynamic backup policy handshaking. Specifically, the method and system disclosed herein entail optimizing storage space utilization for backup, archiving, and/or disaster recovery-purposed data storage. That is, based on time projections until the data storage reaches capacity, the utilization of the remaining storage space may be optimized without compromising data protection in order to prolong the use of the data storage. In prolonging the utilization of the data storage, tiered data backup policies may be adjusted.

Abstract: A method and system for intelligently provisioning resources in storage systems. Specifically, the method and system disclosed herein entail throttling the allocation of resources aiding in the performance of background service tasks on a backup storage system. That is, throughout a predicted span of a background service task, resources may be dynamically allocated towards the performance of the background service task at discrete time intervals within the predicted span, thereby improving overall system utilization.

Abstract: A method and system for dynamic backup policy handshaking. Specifically, the method and system disclosed herein entail optimizing storage space utilization for backup, archiving, and/or disaster recovery-purposed data storage. That is, based on time projections until the data storage reaches capacity, the utilization of the remaining storage space may be optimized without compromising data protection in order to prolong the use of the data storage. In prolonging the utilization of the data storage, tiered data backup policies may be adjusted.

Abstract: A backup system for storing a copy of client data includes a persistent storage and a forecaster. The persistent storage stores the copy of the client data. The forecaster obtains storage use rates of the persistent storage over a prior time period; selects a first prediction period based on the prior time period; partitions the prior time period to obtain partitioned time periods; fuzzifies the storage use rates over the prior time period to obtain fuzzified storage use rates over the prior time period; applies a higher order fuzzy time series operator to the fuzzified storage use rates over the prior time period to obtain higher order forecasting functions; calculates a fuzzified forecast for the selected first prediction period using the higher order forecasting functions; and defuzzifies the fuzzified forecast to obtain a forecast for the first prediction period.

Abstract: A backup system for storing a copy of client data includes a persistent storage and a forecaster. The persistent storage stores the copy of the client data. The forecaster obtains storage use rates of the persistent storage over a prior time period; selects a first prediction period based on the prior time period; partitions the prior time period to obtain partitioned time periods; fuzzifies the storage use rates over the prior time period to obtain fuzzified storage use rates over the prior time period; applies a higher order fuzzy time series operator to the fuzzified storage use rates over the prior time period to obtain higher order forecasting functions; calculates a fuzzified forecast for the selected first prediction period using the higher order forecasting functions; and defuzzifies the fuzzified forecast to obtain a forecast for the first prediction period.

Abstract: A method and system for dynamically negotiating a device name for establishing a communications session between a host computer and a client computer are provided. A host computer receives from a client computer, a device name that includes as part of the device name at least a wildcard character. The host computer replaces the wildcard character with one or more characters that can be used in device names, to generate a unique device name that is not already being used by the host computer.

Abstract: A method and system for dynamically negotiating a device name for establishing a communications session between a host computer and a client computer are provided. A host computer receives from a client computer, a device name that includes as part of the device name at least a wildcard character. The host computer replaces the wildcard character with one or more characters that can be used in device names, to generate a unique device name that is not already being used by the host computer.