Emc IP Holding Company LLC

Emc Corporation

Vladimir Mandic

Shelesh Chopra

Gururaj Reddy Kulkarni

Manjunath Jagannatha

Sunil Kumar Yadav

Matthew Dickey Buchman

Kiran Bachu

John C Rokicki

Ravi Shankar Panem

Kiran M V Kumar

Shankar Balasubramanian

Scott H Ogata

Suman Chandra Tokuri

Mohammed Abdul Samad

Anand Raj

Neelabh Mam

Peter Armorer

Vijay C Madhavapeddi

Ravi Shankar

Sriprasad Bhat Kasargod

Mv Kiran Kumar

Samad Mohammed

Yasemin Ugur-Ozekinci

Mu Chai

Anupam Sharma

Michal Jacek Drozd

Preeti Varma

Rajendra Kumar Gupta

Sudha Narayanan

Anappa Pradeep

Chikkam Satyam

Grant R Wallace

Frederick Douglis

Mark D Malamut

Tushar Dethe

Soumen Acharya

Scott Auchmoody

Anupam Chakraborty

Vaibhav Khanduja

Thomas Papadakis

Bala Vijayakumar

Dorota Zak

Pradeep Anappa

Rajesh K Nair

Kiran Kumar

Richard Meier

Mahipat Rao Kulkarni

Paul Lester Popelka

Joseph G Murphy

Mark Twomey

Michael Jones

Joe Robert Putti

Elango Chokalingam

Arnab Bose

The system for backing up data comprises an input interface configured to receive an input set of files. The system for backing up data additionally comprises a processor configured to add modified objects to a list of modified objects in the set of files, and, in the event it is determined to provide the list of modified objects to a backup process, provide the list to the backup process.

Optimized filesystem walk for backup operations

A system for displaying a performance dashboard comprises an input interface, a processor, and an output interface. The input interface is configured to receive log data. The log data comprises a set of process log entries. The processor is configured to determine one or more daemon response times and to determine dashboard information. The dashboard information is based at least in part on the log data and the one or more daemon response times. The output interface is configured to provide the dashboard information.

System and method of smart framework for troubleshooting performance issues

Systems and methods for disseminating backup data sets to targets. Backup data sets are classified with an attribute. A gateway device between the backup application and potential target destinations for the backup data set determines where to send the backup data set based on the attribute.

Intelligent data dissemination

Techniques to back up data are disclosed. In various embodiments, a function pointer associated with a system call by an application is modified to point to a custom write function. A request to write application data is received at the custom write function. The application data is written to a backup destination based at least in part on a determination that the request is associated with invocation of a backup method of the application.

Modifying function pointers to back up application data

A system for image recovery comprises an input interface and a processor. The input interface is configured to receive a block backup volume that can be mounted. The processor is configured to determine a merged chain map by consolidating one or more incremental chain maps and to store an image using the merged chain map and a volume map.

Image recovery from volume image files

Techniques to provide direct access to backup data are disclosed. An indication is received to provide access to backup data backed up previously to a target device. The backup data as stored on the target device is used to spawn on the target device a logical volume corresponding to the backup data. Access to the logical volume as stored on the target device is provided to a production host.

Direct access to backup copy

Data protection using change-based measurements in block-based backup is disclosed. Block change information indicating an extent of change associated with a volume may be determined. The block change information may be based at least in part on stored information indicating monitored changes to blocks in the volume. A backup operation may be initiated based at least in part on the determined block change information.

Data protection using change-based measurements in block-based backup

Differential restore using block-based backups is disclosed. Block restore information identifying blocks in a volume that have changed since a backup time may be determined. The block restore information may be based at least in part on stored block change information indicating monitored changes to blocks in the volume. The block restore information may be provided to a backup storage node. The block restore information is used to retrieve backup data associated with the identified blocks. The backup data may be used to restore the volume to a state at the backup time by replacing the identified blocks with corresponding backup data.

Differential restore using block-based backups

One example method includes surveying a computing environment, creating a profile for a data source discovered during surveying of the computing environment, wherein the profile includes information concerning a particular type of the data source, and creating a map that includes the profile. These processes may be performed by a profiler. The method also includes generating a data storage capacity forecast based in part on information contained in the profile. Generation of the data storage capacity forecast may be performed by a predictive engine.

Predictive capacity calculation backup modeling

Stored in an application database is information about a set of applications. The information includes a name, version, and backup policy for the application. The backup policy specifies a backup frequency. A storage array is accessed in which a virtual volume of a virtual machine has been provisioned. There is an attempt to gather from the storage array details about an application on the virtual volume. Upon gathering the details, the application database is consulted to select a backup policy corresponding to the gathered name and version of the application. The virtual volume is backed up according to a particular backup frequency as specified in the selected backup policy.

Application intelligence with virtual volume data protection

A system for backup comprises an input interface configured to receive a request to back up a file. The system for backup additionally comprises a processor configured to determine whether the file comprises an indicator to back up without deduplication, and in the event the file comprises an indicator to back up without deduplication, process the file for deduplication storage without deduplication.

Optimized block storage for change block tracking systems

A method for load balancing backup resources of a backup resource pool includes obtaining status information for a plurality of backup resources of the backup resource pool. The method includes, while an aggregate load state of the backup pool is not overloaded, making a first determination that a first backup resource of the plurality of backup resources has a load state that is overloaded based on the status information and a load policy. The method includes, in response to the first determination, adding a new backup resource to the backup pool.

Method and system for load balancing backup resources

Enabling separation of database administrator and backup administrator roles is described. A backup catalog and a database schema are queried to identify backup information associated with a backup file stored on a disk. A clone copy of the backup file is created. The clone copy is stored on an external destination node including an external disk and/or a tape, based on the backup information. The clone copy may be recovered from the external destination node based on the backup information and restored to a database in response to a determination that the backup file is at least one of corrupted and absent from the disk.

Method and system for enabling separation of database administrator and backup administrator roles

Embodiments are described for dynamically spawning and/or decommissioning backup proxy nodes in a virtual infrastructure. A backup server can include a polling agent that polls the virtual infrastructure to determine a list of virtual machines whose data is to be backed up, and a list if virtual proxy nodes that facilitate backups of virtual machine data. A proxy map can be generated that describes the mapping of virtual machines to backup proxy nodes in the virtual infrastructure. Rules can be applied to the proxy map to determine whether a new proxy node should be spawned or an existing proxy node should be decommissioned. A new virtual proxy can be generated by accessing a database of preconfigured template virtual proxies to quickly generate the new virtual proxy. One or more virtual machines can be remapped to the newly created virtual proxy to ensure optimal throughput of backup data.

Intelligent backups with dynamic proxy in virtualized environment

Growing community of inventors

San Jose, CA, United States of America

Vladimir Mandic