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US Patent 11711301 Throttling data streams from source computing devices

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Is a
Patent
Patent
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Patent attributes

Patent Applicant
Commvault Systems Limited
Commvault Systems Limited
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Current Assignee
Commvault Systems Limited
Commvault Systems Limited
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
117113010
Date of Patent
July 25, 2023
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Patent Application Number
177107570
Date Filed
March 31, 2022
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Patent Citations
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US Patent 7177992 System for coupling data stored in buffer memories to backup storage devices
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US Patent 7188367 Virus scanning prioritization using pre-processor checking
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US Patent 7238218 Memory prefetch method and system
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US Patent 7251691 Autonomic predictive load balancing of output transfers for two peer computers for data storage applications
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US Patent 7287133 Systems and methods for providing a modification history for a location within a data store
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US Patent 7315923 System and method for combining data streams in pipelined storage operations in a storage network
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US Patent 7406473 Distributed file system using disk servers, lock servers and file servers
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US Patent 7111115 Computer system and process for transferring multiple high bandwidth streams of data between multiple storage units and multiple applications in a scalable and reliable manner
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Patent Primary Examiner
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Jeong S Park
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CPC Code
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G06F 3/0613
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G06F 3/0646
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G06F 3/0647
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G06F 3/065
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G06F 3/0659
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G06F 3/067
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H04L 47/12
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H04L 47/522
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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—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—to suspend, pause, and/or resume them—independently from the centralized storage manager that manages the overall storage system.

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