Emc IP Holding Company LLC

Pravin Kumar Ashokkumar

Balaji Panchanathan

Sunder Ramesh Andra

Prafful Agarwal

Elakkuvan Chidambaram

Aaditya Rakesh Bansal

Sudha Hebsur

Preeti Varma

Jayashree B Radha

Satchidananda Patra

Ramesh Sunder Andra

Techniques described herein relate to a method for managing data protection feature compatibility. The method may include identifying a host data protection feature update event associated with a host; in response to identifying the host data protection feature update event, obtaining host data protection feature information from the host; updating a host data protection feature information repository using the host data protection feature information; updating data protection feature compatibility information using the host data protection feature information and data protection manager data protection feature information; and sending data protection feature compatibility information associated with the host to the host.

Method and system for managing data protection feature compatibility

Methods and systems for data backup are described. According to some embodiments, the method includes in response to receiving a request for database instance discovery, retrieving backup history information. The method further includes filtering the backup history information to obtain selected backup information. The method further includes sending an instance discovery response that includes the selected backup information. The method further includes generating one or more protection policies based on the selected backup information.

Systems and methods for automatic backup scheduling based on backup history

First, second, and third threshold limits are configured. The first threshold limit corresponds to a data change at which a backup of a client should be triggered. The second threshold limit corresponds to a maximum time interval at which the backup should be triggered. The third threshold limit corresponds to a utilization of resources at the client above which the backup should not be triggered. An amount of data change since a last backup, an elapsed time, and level of resource utilization at the client is monitored. A determination is made that at least one of the amount of data change has reached the first threshold limit or the elapsed time has reached the second threshold limit. The backup of the client is prevented from occurring because the level of resource utilization at the client is above the third threshold limit.

Client data driven smart backup scheduler

Configuring parameters in backup environments is described. A system outputs, via a user interface, a backup environment question. The system receives, via the user interface, an answer to the backup environment question. The system configures a backup environment parameter based on the answer to the backup environment question and based on information extracted from a corresponding backup environment.

Configuring parameters in backup environments

A method for performing backup operations includes selecting an application executing on a virtual machine (VM) to quiesce, generating, using a pre-snapshot template for the application, a pre-snapshot script for the application, generating a snapshot of the virtual machine after the pre-snapshot script has executed on the VM, and initiating a backup operation for the VM using the snapshot.

System and method to implement automated application consistent virtual machine image backup

In one example, a method performed by a client includes measurement of an available bandwidth of a communication path between the client and another entity. Data deduplication rate information is accessed concerning one or more historical deduplication processes performed in connection with the client, and the client determines a required bandwidth associated with a future transfer of a target dataset between the client and another entity along the communication path. The required bandwidth is expressed partly in terms of a data deduplication rate (DDR), and the target data set includes data generated at the client. Finally, when the available bandwidth exceeds the required bandwidth, the client transfers the target dataset from the client to the other entity, and when the available bandwidth is inadequate to support transfer of the target dataset, the client sends an alert to the other entity indicating that the available bandwidth is inadequate.

Embedded diagnostic tool for prediction of problems relating to network bandwidth

A first threshold corresponds to a data change at which a backup is triggered. A second threshold corresponds to a time interval at which the backup is triggered. A client is polled to obtain a first value indicating an amount of data changed since a last backup. A second value is tracked indicating an amount of time elapsed since the last backup. A determination is made as to whether to trigger the backup based on at least one of the first value exceeding the first threshold or the second value exceeding the second threshold. When the backup is not triggered because neither the first value exceeds the first threshold nor the second value exceeds the second threshold, the backup is triggered regardless based on a degree to which the first threshold has been reached, a degree to which the second threshold has been reached, and current usage of resources.

A remote agent for performing a backup of a virtual machine includes a persistent storage that stores backup policies and a backup manager that obtains a backup generation request for the virtual machine and, in response to the backup generation request, performs a component validation analysis of a production host that hosts the virtual machine to identify a backup state of the production host; makes a first determination, based on the backup state of the production host, that the production host is in a backup-enabled state; and, in response to the first determination, generates a backup of the virtual machine, using the backup policies, for storage in a backup storage; and validates that the backup of the virtual machine is stored in the backup storage based on a reduced size representation of the backup and a reduced size representation of a copy of the backup in the backup storage.

System and method for environment aware backup and restoration

In one example, a method includes measuring an available bandwidth of a communication path between a server and another entity, listening on a communication port that is connected to the other entity, receiving, from the other entity, a request for a data deduplication rate (DDR) information associated with a particular plugin type, querying a database for the DDR information, and returning the requested DDR information to the other entity.

In one example, a method includes measuring an available bandwidth of a communication path between a client and another entity, and determining a required bandwidth associated with a future transfer of a target dataset between the client and the other entity along the communication path. The required bandwidth is determined based on a size of the target dataset, and a data deduplication rate (DDR) of the client. The available bandwidth is then compared with the required bandwidth of the target dataset.

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Bengaluru, India

Pravin Kumar Ashokkumar