Comm Vault Systems, Inc.

Vijayan Thanasekaran

Arun Prasad Amarendran

David M Cunningham

Jitin Jindal

Raghuveer Sagar

After completion of a backup job, the illustrative system performs a threat analysis of the freshly generated backup copies. Each copy is restored at a secure storage area. The system scans the restored data using, preferably, a signature-based malware scanning engine. If the scan finds malware infection or some other unsafe condition, a tracking index is updated to indicate that the copy is unsafe, and the secondary copy is quarantined. The quarantine prevents the copy from being restored to the production environment, and from acting as a source for other copies. The system iterates, scanning preceding versions of the copy, updating the index, and quarantining, until a clean or uninfected copy is found. The clean copy is so indexed. Responsive to a restore request, the illustrative system automatically restores the clean copy and skips over the infected copy/copies, preferably without asking the requesting user for input or approval.

Smart recovery of backup copies based on threat analysis

Each data stream in a backup job is individually tracked by data agent(s) and media agent(s) in its path, generating performance data packets in-process and merging them into the processed data stream. The data stream thus incrementally accumulates performance data packets from any number of successive backup processes. The in-process tracking also captures hierarchical relationships among backup processes and in-process subtending tasks, so that the resulting performance report can depict parent and child operations. The hierarchical relationships are embedded into the performance data packets and may be analyzed by parsing the data stream. The media agent transfers the data packets belonging to the secondary copy to secondary storage. The media agent analyzes the performance data packets in the data stream and generates a performance report, which covers the data stream from source to destination, based on the accumulated information carried by the performance data packets. The media agent illustratively stores the performance report locally as a flat file.

Incrementally accumulating in-process performance data into a data stream in a secondary copy operation

Incrementally accumulating in-process performance data and hierarchical reporting thereof for a data stream in a secondary copy operation

Local management of data stream throttling in data movement operations, such as secondary-copy operations in a storage management system, is disclosed. A local throttling manager may interoperate with co-resident data agents and/or a media agent executing on any given local computing device, whether a client computing device or a secondary storage computing device. The local throttling manager may allocate and manage the available bandwidth for various jobs and their constituent data streams&#x2014;across the data agents and/or media agent. Bandwidth is allocated and re-allocated to data streams used by ongoing jobs, in response to new jobs starting and old jobs completing, without having to pause and restart ongoing jobs to accommodate bandwidth adjustments. The illustrative embodiment also provides local users with a measure of control over data streams&#x2014;to suspend, pause, and/or resume them&#x2014;independently from the centralized storage manager that manages the overall storage system.

Throttling data streams from source computing devices

Intelligent local management of data stream throttling in secondary-copy operations

Intelligent data throttling in data movement operations, such as secondary-copy operations in a storage management system. A local throttling manager may intelligently interoperate with co-resident data agents and/or a media agent executing on any given local computing device, whether a client computing device or a secondary storage computing device. The local throttling manager may allocate and manage the available bandwidth for various jobs and their constituent data streams&#x2014;across the data agents and/or media agent. Effective bandwidth for the secondary-copy operation may be adjusted based on available bandwidth from the computing device due to increased demand for the bandwidth from other operations.

Dynamic management of effective bandwidth of data storage operations

Intelligent local management of data stream throttling in data movement operations, such as secondary-copy operations in a storage management system, is disclosed. A local throttling manager may intelligently interoperate with co-resident data agents and/or a media agent executing on any given local computing device, whether a client computing device or a secondary storage computing device. The local throttling manager may allocate and manage the available bandwidth for various jobs and their constituent data streams&#x2014;across the data agents and/or media agent. Bandwidth is dynamically allocated and re-allocated to data streams used by ongoing jobs, in response to new jobs starting and old jobs completing, without having to pause and restart ongoing jobs to accommodate bandwidth adjustments. The illustrative embodiment also provides local users with a measure of control over data streams&#x2014;to suspend, pause, and/or resume them&#x2014;independently from the centralized storage manager that manages the storage management system as a whole.

Intelligent data throttling in data movement operations, such as secondary-copy operations in a storage management system. A local throttling manager may intelligently interoperate with co-resident data agents and/or a media agent executing on any given local computing device, whether a client computing device or a secondary storage computing device. The local throttling manager may allocate and manage the available bandwidth for various jobs and their constituent data streams&#x2014;across the data agents and/or media agent. Effective bandwidth for the secondary-copy operation may be adjusted based on available bandwidth from the computing device due to increased demand for the bandwidth from other operations, such as services that may be hosted on the computing device.

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Fremont, CA, United States of America

Vijayan Thanasekaran