US 2025/0028604 A1Published application

System and method to automatically modify backup schedules based on data change rates

AssigneeDell Products L.P.

InventorsMahesh Reddy Av, Avinash Kumar, Terry O'Callaghan

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Abstract

A policy level controller coordinates a scheduling and policy engine using a data change metric to dynamically schedule or re-define policies in response to data change rates in data assets in a current backup session. A supervised learning process trains a model using historical data of backup operations of the system to establish past data change metrics for corresponding backups processing the saveset, and modifies policies dictating the backup schedule by determining a data change rate of received data, as expressed as a number of bytes changed per unit of time. In response to input from backup targets regarding present usage, it then modifies the backup schedule to minimize the impact on backup targets that may be at or close to overload conditions.

Claims19

Dependent claims

A computer-implemented method of dynamically scheduling backup jobs in a data protection system, the method comprising:

receiving data from a plurality of backup clients for storage in a storage target in accordance with a defined backup policy;
determining a respective data change rate of the data from each backup client, as expressed as a number of bytes changed per unit of time, to produce a data change metric;
generating, in a core engine, a peak activity signal using the data change metric;
monitoring an activity spike status and target session limit signals from the storage target;
receiving, from the storage target, an indication of a current load condition of the storage target;
and
using the peak activity signal to generate a signal to redirect transmission of the data to an alternate storage target if the current load condition exceeds a threshold value to prevent an overload of the storage target due to a spike in data change rates for the plurality of backup clients, wherein the alternate storage target that is not presently prone to the overload condition, or that comprises a higher performance or higher availability storage device.

4 more elements

A system for dynamically scheduling backup jobs in a data protection network, comprising:

a hardware-based policy level controller coordinating a scheduling engine and policy engine implementing a policy to backup data from a plurality of backup clients for storage on a storage target;
a component determining a respective data change rate of data from each backup client, as expressed as a number of bytes changed per unit of time, to produce a data change metric;
a monitor monitoring an activity spike status and target session limit signals from the storage target;
a processor-based core engine functionally coupled to the scheduling engine generating a peak activity signal using the data change metric, and further using the peak activity signal to generate a signal to redirect transmission of the data to an alternate storage target if the current load condition exceeds a threshold value to prevent an overload of the storage target due to a spike in data change rates for the plurality of backup clients, wherein the alternate storage target that is not presently prone to the overload condition, or that comprises a higher performance or higher availability storage device.

1 more element

Dependencies are inferred from the claim text.