Abstract:
A storage system comprises a cache for caching data blocks and storage devices for storing blocks. A storage operating system may deduplicate sets of redundant blocks on the storage devices based on a deduplication requirement. Blocks in cache are typically deduplicated based on the deduplication on the storage devices. Sets of redundant blocks that have not met the deduplication requirement for storage devices and have not been deduplicated on the storage devices and cache are targeted for further deduplication processing. Sets of redundant blocks may be further deduplicated based on their popularity (number of accesses) in cache. If a set of redundant blocks in cache is determined to have a combined number of accesses being greater than a predetermined threshold number of accesses, the set of redundant blocks is determined to be “popular.” Popular sets of redundant blocks are selected for deduplication in cache and the storage devices.
Abstract:
Systems and methods for scheduling requests to access data may adjust the priority of such requests based on the presence of de-duplicated data blocks within the requested set of data blocks. A data de-duplication process operating on a storage device may build a de-duplication data map that stores information about the presence and location of de-duplicated data blocks on the storage drive. An I/O scheduler that manages the access requests can employ the de-duplicated data map to identify and quantify any de-duplicated data blocks within an access request. The I/O scheduler can then adjust the priority of the access request, based at least in part, on whether de-duplicated data blocks provide a large enough sequence of data blocks to reduce the likelihood that servicing the request, even if causing a head seek operation, will not reduce the overall global throughput of the storage system.
Abstract:
A storage system comprises a cache for caching data blocks and storage devices for storing blocks. A storage operating system may deduplicate sets of redundant blocks on the storage devices based on a deduplication requirement. Blocks in cache are typically deduplicated based on the deduplication on the storage devices. Sets of redundant blocks that have not met the deduplication requirement for storage devices and have not been deduplicated on the storage devices and cache are targeted for further deduplication processing. Sets of redundant blocks may be further deduplicated based on their popularity (number of accesses) in cache. If a set of redundant blocks in cache is determined to have a combined number of accesses being greater than a predetermined threshold number of accesses, the set of redundant blocks is determined to be “popular.” Popular sets of redundant blocks are selected for deduplication in cache and the storage devices.
Abstract:
Systems and methods for scheduling requests to access data may adjust the priority of such requests based on the presence of de-duplicated data blocks within the requested set of data blocks. A data de-duplication process operating on a storage device may build a de-duplication data map that stores information about the presence and location of de-duplicated data blocks on the storage drive. An I/O scheduler that manages the access requests can employ the de-duplicated data map to identify and quantify any de-duplicated data blocks within an access request. The I/O scheduler can then adjust the priority of the access request, based at least in part, on whether de-duplicated data blocks provide a large enough sequence of data blocks to reduce the likelihood that servicing the request, even if causing a head seek operation, will not reduce the overall global throughput of the storage system.