Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: Systems and methods for allocating transmission resources within a computer network are provided. In some embodiments of the invention, communication links may be assigned based on predefined preferences or system configuration to facilitate the transfer of data from one point in the network to another. In other embodiments, system operation may be monitored and communication paths be assigned dynamically based on this information to improve system operation and provide improved failover response, load balancing and to promote robust data access via alternative routes.

Abstract: In accordance with embodiments of the invention, a method is provided for performing a storage operation in a pipeline storage system in which one or more data streams containing data to be stored are written into data chunks. The method includes generating an encryption key associated with a first archive file to be stored when encryption is requested for the storage operation, encrypting the archive data from the data stream using the encryption key to create an encrypted data chunk when a data stream containing the archive file is processed in the pipeline storage system, storing the encrypted data chunk on a storage medium, and storing the encryption key in a manner accessible during a restore operation of the encrypted data chunk.

Abstract: 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.

Abstract: Various systems and methods may be used 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 for content indexing data stored within a cloud environment may facilitate later searching, including collaborative searching. Methods for performing containerized deduplication may reduce the strain on a system namespace, effectuate cost savings, etc. Methods may identify suitable storage locations, including suitable cloud storage sites, for data files subject to a storage policy.

Abstract: 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.

Abstract: Systems and methods for allocating transmission resources within a computer network are provided. In some embodiments of the invention, communication links may be assigned based on predefined preferences or system configuration to facilitate the transfer of data from one point in the network to another. In other embodiments, system operation may be monitored and communication paths be assigned dynamically based on this information to improve system operation and provide improved failover response, load balancing and to promote robust data access via alternative routes.

Abstract: Systems and methods for allocating transmission resources within a computer network are provided. In some embodiments of the invention, communication links may be assigned based on predefined preferences or system configuration to facilitate the transfer of data from one point in the network to another. In other embodiments, system operation may be monitored and communication paths be assigned dynamically based on this information to improve system operation and provide improved failover response, load balancing and to promote robust data access via alternative routes.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.