Newness and distinctiveness is claimed in the features of ornamentation as shown inside the broken line circle in the accompanying representation.

Display screen or portion thereof with graphical user interface

Systems and methods are disclosed for performing data storage operations, including content-indexing, containerized deduplication, and policy-driven storage, 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

Performing data storage operations with a cloud storage environment, including automatically selecting among multiple cloud storage sites

Improved techniques for managing enterprise applications on mobile devices are described herein. Each enterprise mobile application running on the mobile device has an associated policy through which it interacts with its environment. The policy selectively blocks or allows activities involving the enterprise application in accordance with rules established by the enterprise. Together, the enterprise applications running on the mobile device form a set of managed applications. Managed applications are typically allowed to exchange data with other managed applications, but are blocked from exchanging data with other applications, such as the user's own personal applications. Policies may be defined to manage data sharing, mobile resource management, application specific information, networking and data access solutions, device cloud and transfer, dual mode application software, enterprise app store access, and virtualized application and resources, among other things.

Policy-Based Application Management

Systems and methods for data classification to facilitate and improve data management within an enterprise are described. The disclosed systems and methods evaluate and define data management operations based on data characteristics rather than data location, among other things. Also provided are methods for generating a data structure of metadata that describes system data and storage operations. This data structure may be consulted to determine changes in system data rather than scanning the data files themselves.

Systems and methods for classifying and transferring information in a storage network

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

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

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

Described herein are systems and methods for multiplexing pipelined data for backup operations. Various data streams are combined such as by multiplexing by a multiplexing module. The multiplexing module combines the data from the various data streams received by receiver module(s) into a single stream of chunks. The multiplexing module may combine data from multiple archive files into a single chunk. Additional modules perform other operations on the chunks of data to be transported such as encryption, compression, etc. The data chunks are transmitted via a transport channel to a receive pipeline that includes a second receiver module and other modules. The data chunks are then stored in a backup medium. The chunks are later retrieved and separated such as by demultiplexing for restoring to a client or for further storage as auxiliary copies of the separated data streams or archive files.

System and method for combining data streams in pilelined storage operations in a storage network

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.

Rajiv Kottomtharayil

Papers

Performing data storage operations with a cloud storage environment, including automatically selecting among multiple cloud storage sites

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

System and method for storing redundant information

System and method for combining data streams in pilelined storage operations in a storage network

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