Comm Vault Systems, Inc.

Parablu Inc.

Anand Prahlad

David Ngo

Jeremy Alan Schwartz

Parag Gokhale

Rajiv Kottomtharayil

Srinivas Kavuri

Marcus S Muller

Brian Brockway

Andreas May

Rahul S Pawar

Manoj Kumar Vijayan

Varghese Devassy

Norman R Lunde

Paul Puthur Ignatius

Avinash Kumar

Alan G Bunte

Prakash Varadharajan

David Alan Oshinsky

James J McGuigan

Manoj Kumar Vijayan Retnamma

Andre Duque Madeira

Randy De Meno

Mahesh Tyagarajan

Jun Lu

Vijay H Agrawal

John Crescenti

Randy DeMeno

Lixin Zhou

Deepak Raghunath Attarde

Arun Prasad Amarendran

Arun Amarendran

Robert Keith Brower, Jr

Suresh Parpatakam Reddy

Jared Meade

Pavan Kumar Reddy Bedadala

Zhao Wang

Rahual Pawar

Anand Vibhor

Manoj Vijayan Retnamma

Tinku Iyer

John Alexander

Ivan Pittaluga

Jun H Ahn

Christopher A Alonzo

Manoj Kumar

Shankar R Iyer

Rammohan G Reddy

Muath S Ali-Ali

Jaidev Oppath Kochunni

Michael F Klose

Kamleshkumar K Lad

Simon Taylor

Christie J Van Wagoner

Robert Wu

Inbaraj Karuthakannan

Marcus B Muller

Manoj Kumar Retnamma Vijayan

Arun Prasad

A method and system described herein for classifying data of virtual machines in a heterogeneous computing comprising virtual machines and non-virtual machines. The system may access a secondary copy of data stored by a virtual machine, create metadata associated with that data, store the metadata in an index that comprises metadata associated with data stored on non-virtual machines, using a journal file, determine modified data objects within the data stored by the virtual machine, access or create metadata associated with modified data objects, and update the index accordingly.

Classification of virtualization data

Systems and methods for providing automated problem reporting in elements used in conjunction with computer networks are disclosed. The system comprises a plurality of elements that perform data operations and a reporting manager or monitor agent which monitors the elements and data operations. Upon detection of hardware or software problems, the reporting manager or monitor agent automatically communicates with elements affected by the problem to gather selected hardware, software, and configuration information, analyzes the information to determine causes of the problem, and issues a problem report containing at least a portion of the selected information. The problem report is communicated to a remote monitor that does not possess access privileges to the elements, allowing automated, remote monitoring of the elements without compromising security of the computer network or elements.

Remote monitoring and error correcting within a data storage system

Data storage operations, including content-indexing, containerized deduplication, and policy-driven storage, are performed within a cloud environment. The systems support a variety of clients and cloud storage sites that may connect to the system in a cloud environment that requires data transfer over wide area networks, such as the Internet, which may have appreciable latency and/or packet loss, using various network protocols, including HTTP and FTP. Methods are disclosed for content indexing data stored within a cloud environment to facilitate later searching, including collaborative searching. Methods are also disclosed for performing containerized deduplication to reduce the strain on a system namespace, effectuate cost savings, etc. Methods are disclosed for identifying suitable storage locations, including suitable cloud storage sites, for data files subject to a storage policy. Further, systems and methods for providing a cloud gateway and a scalable data object store within a cloud environment are disclosed, along with other features.

Data object store and server for a cloud storage environment, including data deduplication and data management across multiple cloud storage sites

The present invention provides systems and methods for data storage. A hierarchical storage management architecture is presented to facilitate data management. The disclosed system provides methods for evaluating the state of stored data relative to enterprise needs by using weighted parameters that may be user defined. Also disclosed are systems and methods evaluating costing and risk management associated with stored data.

Systems and methods for storage modeling and costing

Systems and methods for managing electronic data are disclosed. Various data management operations can be performed based on a metabase formed from metadata. Such metadata can be identified from an index of data interactions generated by a journaling module, and obtained from their associated data objects stored in one or more storage devices. In various embodiments, such processing of the index and storing of the metadata can facilitate, for example, enhanced data management operations, enhanced data identification operations, enhanced storage operations, data classification for organizing and storing the metadata, cataloging of metadata for the stored metadata, and/or user interfaces for managing data. In various embodiments, the metabase can be configured in different ways. For example, the metabase can be stored separately from the data objects so as to allow obtaining of information about the data objects without accessing the data objects or a data structure used by a file system.

Systems and methods for using metadata to enhance data identification operations

The present invention discloses methods and systems for contiguous utilization of individual end-user-based cloud-storage subscriptions. Methods including the steps of: upon receiving a write request for writing a data file into at least one cloud-storage allocation unit, identifying unused available storage in the cloud-storage allocation unit; fragmenting the data file into chunk files; encrypting each chunk file; writing each chunk file to the cloud-storage allocation unit to satisfy the write request; and updating a metadatabase having metadata associated with the data file and the chunk files. Alternatively, the method further includes: upon receiving a read request for reading the data file from at least one cloud-storage allocation unit, performing lookup in the metadatabase of the metadata; reading each chunk file from the cloud-storage allocation unit; decrypting each chunk file; reassembling the chunk files into the data file using the metadata; and providing the data file to satisfy the read request.

Methods and systems for contiguous utilization of individual end-user-based cloud-storage subscriptions

Content-aware systems and methods for improving de-duplication, or single instancing, in storage operations. In certain examples, backup agents on client devices parse application-specific data to identify data objects that are candidates for de-duplication. The backup agents can then insert markers or other indictors in the data that identify the location(s) of the particular data objects. Such markers can, in turn, assist a de-duplication manager to perform object-based de-duplication and increase the likelihood that like blocks within the data are identified and single instanced. In other examples, the agents can further determine if a data object of one file type can or should be single-instanced with a data object of a different file type. Such processing of data on the client side can provide for more efficient storage and back-end processing.

De-duplication systems and methods for application-specific data

A system and method for using a snapshot as a data source is described. In some cases, the system stores a snapshot and an associated data structure or index to storage media to create a secondary copy of a volume of data. In some cases, the associated index includes application specific data about a file system or other application that created the data to identify the location of the data. The associated index may include three entries, and may be used to facilitate the recovery of data via the snapshot.

Using a snapshot as a data source

A method and system for reducing storage requirements and speeding up storage operations by reducing the storage of redundant data includes receiving a request that identifies one or more data objects to which to apply a storage operation. For each data object, the storage system determines if the data object contains data that matches another data object to which the storage operation was previously applied. If the data objects do not match, then the storage system performs the storage operation in a usual manner. However, if the data objects do match, then the storage system may avoid performing the storage operation.

System and method for storing redundant information

A system stores a snapshot and an associated data structure or index to storage media to create a secondary copy of a volume of data. In some cases, the associated index includes application specific data about a file system or other application that created the data to identify the location of the data. The associated index may include three entries, and may be used to facilitate the recovery of data via the snapshot. The snapshot may be used by ancillary applications to perform various functions, such as content indexing, data classification, deduplication, e-discovery, and other functions.

Systems and methods for performing data management operations using snapshots

A method and system for creating an index of content without interfering with the source of the content includes an offline content indexing system that creates an index of content from an offline copy of data. The system may associate additional properties or tags with data that are not part of traditional indexing of content, such as the time the content was last available or user attributes associated with the content. Users can search the created index to locate content that is no longer available or based on the associate attributes.

Method and system for offline indexing of content and classifying stored data

Described in detail herein is a method of copying data of one or more virtual machines being hosted by one or more non-virtual machines. The method includes receiving an indication that specifies how to perform a copy of data of one or more virtual machines hosted by one or more virtual machine hosts. The method may include determining whether the one or more virtual machines are managed by a virtual machine manager that manages or facilitates management of the virtual machines. If so, the virtual machine manager is dynamically queried to automatically determine the virtual machines that it manages or that it facilitates management of. If not, a virtual machine host is dynamically queried to automatically determine the virtual machines that it hosts. The data of each virtual machine is then copied according to the specifications of the received indication.

Systems and methods for management of virtualization data

Systems and methods integrate disparate backup devices with a unified interface. In certain examples, a management console manages data from various backup devices, while retaining such data in its native format. The management console can display a hierarchical view of the client devices and/or their data and can further provide utilities for processing the various data formats. A data structure including fields for storing both metadata common to the client device data and value-added metadata can be used to mine or process the data of the disparate client devices. The unified single platform and interface reduces the need for multiple data management products and/or customized data utilities for each individual client device and provides a single pane of glass view into data management operations. Integrating the various types of storage formats and media allows a user to retain existing storage infrastructures and further facilitates scaling to meet long-term management needs.

Data mining systems and methods for heterogeneous data sources

Growing community of inventors

East Brunswick, NJ, United States of America

Anand Prahlad