Emc IP Holding Company LLC

Emc Corporation

Anupam Sharma

Rajendra Kumar Gupta

Vladimir Mandic

Sanjeev Kumar Lohchab

Naveen N Rao

Naveen Kumar Surendra Rao

Swapnadeep Deb Kanunjna

One example method includes identifying one or more source storages and a respective available stream count for each source storage, identifying one or more target storages and a respective available stream count for each target storage, negotiating a maximum stream count for a combination of storages that includes the source storages and the target storages, in which the negotiation of the maximum stream count is based on: (i) the respective available stream counts for each source storage; and (ii) the respective available stream counts for each target storage, and the negotiation of the maximum stream count comprises comparing each source storage available stream count to a respective available stream count of each of target storages, and the comparison is performed in ascending order of the respective available stream counts of the source storages, and creating parallel cloning sessions based on the negotiated maximum stream count.

System and method for analyzing application maximum parallel clone sessions for storage devices

Embodiments of the invention eliminate problems associated with annotation dependency when providing data protection operations. A proxy register is provided such that proxies can register with the data protection servers. The proxies identified in the proxy register, for each server, are uniquely identified in the proxy register and the proxy register ensures that proxies participating in the performance of data protection operations are excluded from being protected while unregistered proxies can be protected by the data protection application.

Systems and methods for performing data protection operations with a proxy register

A method for backing up application transaction data through a virtual backup proxy node is disclosed. The operations comprise: mounting an application transaction data disk image at the virtual backup proxy node with a Small Computer System Interface (SCSI) HotAdd method, the application transaction data disk image comprising application transaction data generated by an application running on a virtual machine, wherein the virtual machine is connected to a second network; and copying, by the virtual backup proxy node, the transaction data disk image to a storage device for backup protection through a first network to which the virtual backup proxy node and the storage device are connected, wherein no routable network path exists between the first network and the second network, or between the virtual machine and the storage device.

Systems and method to make application consistent virtual machine backup work in private network

It is determined that a backup of a set of backup sources is triggered at a first instance by a backup policy associated with the set of backup sources. It is determined for each backup source of the set of backup sources, a size of data to be backed up. In the event the determined size of a selected backup source of the set exceeds a threshold size, a backup of the selected backup source is paused despite the backup policy specifying the backup to be performed at the first instance and the backup of the selected backup source is resumed at a second instance specified by a backup resume policy.

Dynamically pausing large backups

Embodiments are directed to a method of automatically assigning proxy nodes to proxy servers in a backup system by allocating the proxy nodes to a common proxy node pool, defining rules for assignment of the proxy nodes to the proxy servers, receiving backup sessions from the proxy servers, assigning proxy nodes to the proxy servers in accordance with at least one of an order of received backup sessions and the defined rules, and returning assigned proxy nodes back to the common proxy node pool upon completion of respective backup sessions.

Automated proxy selection and switchover

Backup file recovery from multiple data sources is described. A system determines whether each of multiple data sources stores a corresponding copy of a backup file associated with a data object, in response to receiving a request to recover the backup file associated with the data object. The system allocates multiple portions of the backup file to corresponding multiple data streams, if each of the multiple data sources stores the corresponding copy of the backup file associated with the data object. The system recovers the backup file by concurrently recovering the multiple data streams from the corresponding multiple data sources.

Backup file recovery from multiple data sources

One embodiment is related to a method for backing up virtual machines, comprising: determining whether virtual machines comprised in a backup policy group are to be backed up based on a present time and a backup schedule associated with the backup policy group; in response to a determination that the virtual machines comprised in the backup policy group are to be backed up, determining a data change ratio since a previous backup for each virtual machine comprised in the backup policy group; and backing up each virtual machine comprised in the backup policy group that has a data change ratio since the previous backup that meets a data change threshold associated with the backup policy group.

Effective data change based rule to enable backup for specific VMware virtual machine

In one example method, one or more source storages and the number of available streams for each source storage are identified, and one or more target storages and the number of available streams for each target storage are also identified. The source storages and target storages are then sorted on the basis of their respective available streams. A comparison is performed of the available source storage streams with available target storage streams, and parallel cloning sessions are created based on the result of the comparison.

Techniques to protect data are disclosed. A backup appliance configuration data associated with a first backup appliance associated with a first virtual machine environment is received at a host site. The backup appliance configuration data is replicated to a remote replication site. The backup appliance configuration data includes data usable at the remote replication site to provide at the remote replication site a replicated backup appliance that is associated with a second virtual machine environment at the remote replication site and is configured to access backup data stored by the first backup appliance and to use said backup data stored by the first backup appliance to recover to hosts at the replication site one or more virtual machines associated with the first virtual machine environment.

Backup appliance replication to provide virtual machine recovery at a remote site

Performance analysis for test automation frameworks is described. A test is executed of an application. Performance indicators are logged during execution of the test, wherein the performance indicators include a first performance indicator. A correlation is identified between the first performance indicator and a second performance indicator recorded during the execution of the test or an execution of a previous test of the application. An output device outputs the correlation as a performance issue.

Method and system for performance analysis by test automation frameworks

One embodiment is related to a method for coordinating virtualized proxy node based virtual machine (VM) backups, comprising: determining one or more strategies for coordinating a plurality of virtualized proxy nodes for VM backup; and initiating one or more virtualized proxy node based VM backups based on the determined one or more strategies.

Effective method to backup VMs in larger VM infrastructure

In one example, a method for determining an optimized data backup throughput rate is provided. The example method includes calculating a total saveset size DS(total) for a backup by summing sizes DS(n) of each of 'n' savesets, each of the savesets being associated with a respective savestream, and then calculating a total throughput rate PTP(total) for the backup by summing respective throughput rates TP of each of the 'n' savesets. The method further includes calculating a total backup window length PTIME(total) using the following formula: PTIME(total)=DS(total)/PTP (total). Finally, an optimized savestream throughput rate OTP(n) is calculated for each of the &#x2018;n&#x2019; savesets using the following formula: OTP(n)=DS(n)/PTIME(total).

Systems and methods for optimizing multiple data streams throughput from single host or storage system to maximize overall throughput

Concurrently backing up data streams based on backup time estimates is described. A system identifies multiple data streams scheduled for backup. The system identifies multiple backup time estimates corresponding to the multiple data streams. The system creates a ranked relational sequence based on the multiple backup time estimates. The system concurrently backs up the multiple data streams based on a concurrency limit and the ranked relational sequence.

Growing community of inventors

Bengaluru, India

Anupam Sharma