Cloud-based destination for block-level data replication processing
US-2024354022-A1 · Oct 24, 2024 · US
US2020342000A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2020342000-A1 |
| Application number | US-201916395035-A |
| Country | US |
| Kind code | A1 |
| Filing date | Apr 25, 2019 |
| Priority date | Apr 25, 2019 |
| Publication date | Oct 29, 2020 |
| Grant date | — |
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Systems and methods for performing data protection operations including replication operations. A replication operation may automatically learn and predict when a replication system will need to switch modes, such as to a protective mode or to a fast-forward mode. The replication operation ensures that the data is replicated in a manner that optimizes the ability to retain data needed to perform point in time recovery operations while prioritizing the replication operation of new data.
Opening claim text (preview).
What is claimed is: 1 . In a computing system that replicates data assets at a source site to a target site, a method for replicating the data assets in a replication operation, the method comprising: accessing historical data about the data assets at the source site; generating a forecast indicating a replication load at the target site based on the historical data; switching a mode of the replication operation in accordance with the forecast when the forecast indicates; and replicating the data assets according to the mode. 2 . The method of claim 1 , further comprising collecting historical data from the data assets at the source site. 3 . The method of claim 1 , wherein the mode is a normal mode, a protective mode, or a fast-forward mode. 4 . The method of claim 3 , further comprising switching the mode to another mode based on the forecast. 5 . The method of claim 1 , wherein entering a mode includes switching to another mode when the forecast crosses a threshold. 6 . The method of claim 1 , wherein the historical data includes at least one of a seasonality, a bias, and a level for each of the data assets individually and for the data assets as a whole. 7 . The method of claim 6 , further comprising updating the forecast and determining whether to switch to a different mode. 8 . The method of claim 3 , further comprising: storing new data in a do stream portion of a journal and storing old data in an undo stream portion of the journal; determining whether to switch the mode based on the forecast and on a state of the journal. 9 . The method of claim 8 , further comprising expiring data in the undo stream. 10 . The method of claim 8 , further comprising switching to a protective mode, wherein data distribution from the DO stream to a replica storage is suspended in the protective mode and data in the undo stream is preserved. 11 . The method of claim 10 , further comprising switching to a fast-forward mode when the do stream is expected to fill the journal. 12 . The method of claim 10 , further comprising switching to a normal mode when the forecast allows. 13 . A non-transitory computer readable medium comprising computer executable instructions that, when executed, perform a method for replicating data assets from a source site to a target site during a replication operation, the method comprising: accessing historical data about the data assets at the source site; generating a forecast indicating a replication load at the target site based on the historical data; switching a mode of the replication operation in accordance with the forecast when the forecast indicates; and replicating the data assets according to the mode. 14 . The non-transitory computer readable medium of claim 13 , further comprising collecting historical data from the data assets at the source site, wherein the mode is a normal mode, a protective mode, or a fast-forward mode. 15 . The non-transitory computer readable medium of claim 14 , further comprising switching the mode to one of the normal mode, the protective mode, or the fast-forward mode based on the forecast, wherein the mode is switched based on a relationship of the forecast to a threshold. 16 . The non-transitory computer readable medium of claim 14 , wherein the historical data includes at least one of a seasonality, a bias, and a level for each of the data assets individually and for the data assets as a whole. 17 . The non-transitory computer readable medium of claim 14 , further comprising updating the forecast and determining whether to switch to a different mode. 18 . The non-transitory computer readable medium of claim 14 , further comprising: storing new data in a do stream portion of a journal and storing old data in an undo stream portion of the journal; determining whether to switch the mode based on the forecast and on a state of the journal. 19 . The non-transitory computer readable medium of claim 18 , further comprising switching to a protective mode, wherein data distribution from the DO stream to a replica storage is suspended in the protective mode and data in the undo stream is preserved. 20 . The non-transitory computer readable medium of claim 14 , further comprising switching to a fast forward mode when the do stream is expected to fill the journal or switching to a normal mode when the forecast allows.
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