Abstract: One example method includes optimizing client-side deduplication. When backing up a client, a cadence and a change log resolution are determined. These values are evaluated alone or in combination with respect to various thresholds. Client-side deduplication is enabled or disabled based on whether any one or more of the thresholds are satisfied.

Abstract: Run-time selection of optimal commands for accessing serial access resources is described. A system receives a request to access a serial access resource. The system identifies a first section to access in the serial access resource and a second section to access in the serial access resource which is separated from the first section to access by an intermediate section in the serial access resource. The system generates combinations of access commands associated with accessing the first and the second sections to access. The system estimates target values, based on locations of the first and the second sections to access in the serial access resource, corresponding to the combinations of access commands. The system selects a combination of access commands which corresponds to an optimal target value. The system enables performance of the selected combination of access commands on the first and the second sections in the serial access resource.

Abstract: One example method includes optimizing client-side deduplication. When backing up a client, a cadence and a change log resolution are determined. These values are evaluated alone or in combination with respect to various thresholds. Client-side deduplication is enabled or disabled based on whether any one or more of the thresholds are satisfied.

Abstract: Run-time selection of optimal commands for accessing serial access resources is described. A system receives a request to access a serial access resource. The system identifies a first section to access in the serial access resource and a second section to access in the serial access resource which is separated from the first section to access by an intermediate section in the serial access resource. The system generates combinations of access commands associated with accessing the first and the second sections to access. The system estimates target values, based on locations of the first and the second sections to access in the serial access resource, corresponding to the combinations of access commands. The system selects a combination of access commands which corresponds to an optimal target value. The system enables performance of the selected combination of access commands on the first and the second sections in the serial access resource.

Abstract: One example method includes optimizing client-side deduplication. When backing up a client, an overwrite ratio is determined based on a size of actual changes made to a volume and a size indicated by changes in a change log. Client-side deduplication is enabled or disabled based on a value of the overwrite ratio.

Abstract: One example method includes optimizing client-side deduplication. When backing up a client, a cadence and a change log resolution are determined. These values are evaluated alone or in combination with respect to various thresholds. Client-side deduplication is enabled or disabled based on whether any one or more of the thresholds are satisfied.

Abstract: One example method includes optimizing client-side deduplication. When backing up a client, a cadence and a change log resolution are determined. These values are evaluated alone or in combination with respect to various thresholds. Client-side deduplication is enabled or disabled based on whether any one or more of the thresholds are satisfied.

Abstract: One example method includes optimizing client-side deduplication. When backing up a client, an overwrite ratio is determined based on a size of actual changes made to a volume and a size indicated by changes in a change log. Client-side deduplication is enabled or disabled based on a value of the overwrite ratio.

Abstract: Embodiments for optimizing a cost of storing backup data in an object store of a public cloud network provided by a cloud provider by storing delta objects each embodying changes to blocks of the backup data between a full backup incremental backups. The delta objects are each of a same block size, which can be changed. The process selects two sequential delta objects to form a larger object by extending each block to a minimal part size that is larger than the block size and inserting a region of unchanged data between the two delta objects. The larger object is divided into three different parts comprising the inserted region, and each of the extended delta object blocks. The process calculates an API and a compute cost for a synthesis operation on the delta objects based on a cost model and current price schedule of the cloud provider for the three different parts, and for the substantially larger object as a whole. The process selects a block size for the delta objects based on a lowest calculated cost.

Abstract: Embodiments for optimizing a cost of storing backup data in an object store of a public cloud network provided by a cloud provider by storing delta objects each embodying changes to blocks of the backup data between a full backup incremental backups. The delta objects are each of a same block size, which can be changed. The process selects two sequential delta objects to form a larger object by extending each block to a minimal part size that is larger than the block size and inserting a region of unchanged data between the two delta objects. The larger object is divided into three different parts comprising the inserted region, and each of the extended delta object blocks. The process calculates an API and a compute cost for a synthesis operation on the delta objects based on a cost model and current price schedule of the cloud provider for the three different parts, and for the substantially larger object as a whole. The process selects a block size for the delta objects based on a lowest calculated cost.