Abstract: An application programming interface for a data storage service provides a convenient mechanism for clients of the data storage service to access its various capabilities. An API call may be made to initiate a job and in response a job identifier may be provided. A separate API call specifying the job identifier may be made and a response providing information related to the job may result. Various API calls may be used to store data, retrieve data, obtain an inventory of stored data, and to obtain other information relating to stored data.

Abstract: An application programming interface for a data storage service provides a convenient mechanism for clients of the data storage service to access its various capabilities. An API call may be made to initiate a job and in response a job identifier may be provided. A separate API call specifying the job identifier may be made and a response providing information related to the job may result. Various API calls may be used to store data, retrieve data, obtain an inventory of stored data, and to obtain other information relating to stored data.

Abstract: A cost-effective, durable and scalable archival data storage system is provided herein that allow customers to store, retrieve and delete archival data objects, among other operations. For data storage, in an embodiment, the system stores data in a transient data store and provides a data object identifier may be used by subsequent requests. For data retrieval, in an embodiment, the system creates a job corresponding to the data retrieval and provides a job identifier associated with the created job. Once the job is executed, data retrieved is provided in a transient data store to enable customer download. In various embodiments, jobs associated with storage, retrieval and deletion are scheduled and executed using various optimization techniques such as load balancing, batch processed and partitioning. Data is redundantly encoded and stored in self-describing storage entities increasing reliability while reducing storage costs. Data integrity is ensured by integrity checks along data paths.

Abstract: Embodiments of the present disclosure are directed to, among other things, managing inventory indexing of one or more data storage devices. In some examples, a storage service may store an index associated with archived data. Additionally, the storage service may receive information associated with an operation performed on the archived data. The storage service may also partition the received information into subsets corresponding to an identifier. In some cases, the identifier may be received with or otherwise be part of the received information. The storage service may also retrieve at least a portion of the index that corresponds to the subset. Further, the storage service may update the retrieved portion of the index with at least part of the received information. The updating may be based at least in part on the subsets.

Abstract: A cost-effective, durable and scalable archival data storage system is provided herein that allow customers to store, retrieve and delete archival data objects, among other operations. For data storage, in an embodiment, the system stores data in a transient data store and provides a data object identifier may be used by subsequent requests. For data retrieval, in an embodiment, the system creates a job corresponding to the data retrieval and provides a job identifier associated with the created job. Once the job is executed, data retrieved is provided in a transient data store to enable customer download. In various embodiments, jobs associated with storage, retrieval and deletion are scheduled and executed using various optimization techniques such as load balancing, batch processed and partitioning. Data is redundantly encoded and stored in self-describing storage entities increasing reliability while reducing storage costs. Data integrity is ensured by integrity checks along data paths.

Abstract: Embodiments of the present disclosure are directed to, among other things, managing power of one or more data storage devices. In some examples, a storage service may obtain a schedule associated with enabling different storage devices at different times. The storage service may also identify a request of a batch of requests for accessing the storage devices. In some cases, the storage service may also determine which storage device to activate based at least in part on the schedule and/or the request. Further, the storage service may manage power of a storage device based at least in part on the determination of which storage device to activate.

Abstract: An application programming interface for a data storage service provides a convenient mechanism for clients of the data storage service to access its various capabilities. An API call may be made to initiate a job and in response a job identifier may be provided. A separate API call specifying the job identifier may be made and a response providing information related to the job may result. Various API calls may be used to store data, retrieve data, obtain an inventory of stored data, and to obtain other information relating to stored data.

Abstract: A request to retrieve a persistently stored data object is received, the request including a data object identifier that encodes at least storage location information and validation information related to the data object. The data object is retrieved using at least the storage location information to form a retrieved data object, and validation is performed using at least the validation information.

Abstract: An application programming interface for a data storage service provides a convenient mechanism for clients of the data storage service to access its various capabilities. An API call may be made to initiate a job and in response a job identifier may be provided. A separate API call specifying the job identifier may be made and a response providing information related to the job may result. Various API calls may be used to store data, retrieve data, obtain an inventory of stored data, and to obtain other information relating to stored data.

Abstract: Methods and systems are provided herein that facilitate cost-effective and reliable data identification in an archival data storage system. In an embodiment, a data object stored in an archival data storage system is identified by a data object identifier which encodes storage location information that may be used to locate a data object stored in an archival data storage system that reduces the cost to store a global index. The data object identifier may also encode policy information such as access control information usable for validating subsequent access to the data object, payload validation information such as size and digest usable for verifying the integrity of the payload data, metadata validation information such as error-detection codes usable for validating integrity of the data object identifier and other information.

Abstract: Methods and systems are provided herein that facilitate cost-effective, scalable and reliable archival data organization and management. In an embodiment, data are redundantly encoded and stored to provide data reliability. Further, encoded data may be stored in self-describing storage entities that provide information describing data stored therein. Information provided by self-describing storage entities may be used to construct a limited map that is usable to facilitate data placement and data location services during data storage and retrieval. Data reliability and durability is provided because information about data stored in the system is mostly contained in the storage entities themselves. Cost efficiency is provided because only a limited map is provided for efficiency purposes instead of a potentially large global index data structure.

Abstract: Embodiments of the present disclosure are directed to, among other things, managing inventory indexing of one or more data storage devices. In some examples, a storage service may store an index associated with archived data. Additionally, the storage service may receive information associated with an operation performed on the archived data. The storage service may also partition the received information into subsets corresponding to an identifier. In some cases, the identifier may be received with or otherwise be part of the received information. The storage service may also retrieve at least a portion of the index that corresponds to the subset. Further, the storage service may update the retrieved portion of the index with at least part of the received information. The updating may be based at least in part on the subsets.

Abstract: Embodiments of the present disclosure are directed to, among other things, managing inventory indexing of one or more data storage devices. In some examples, a storage service may store an index associated with archived data. Additionally, the storage service may receive information associated with an operation performed on the archived data. The storage service may also partition the received information into subsets corresponding to an identifier. In some cases, the identifier may be received with or otherwise be part of the received information. The storage service may also retrieve at least a portion of the index that corresponds to the subset. Further, the storage service may update the retrieved portion of the index with at least part of the received information. The updating may be based at least in part on the subsets.

Abstract: An application programming interface for a data storage service provides a convenient mechanism for clients of the data storage service to access its various capabilities. An API call may be made to initiate a job and in response a job identifier may be provided. A separate API call specifying the job identifier may be made and a response providing information related to the job may result. Various API calls may be used to store data, retrieve data, obtain an inventory of stored data, and to obtain other information relating to stored data.

Abstract: Methods and systems are provided herein that facilitate cost-effective and reliable data identification in an archival data storage system. In an embodiment, a data object stored in an archival data storage system is identified by a data object identifier which encodes storage location information that may be used to locate a data object stored in an archival data storage system that reduces the cost to store a global index. The data object identifier may also encode policy information such as access control information usable for validating subsequent access to the data object, payload validation information such as size and digest usable for verifying the integrity of the payload data, metadata validation information such as error-detection codes usable for validating integrity of the data object identifier and other information.

Abstract: Embodiments of the present disclosure are directed to, among other things, managing power of one or more data storage devices. In some examples, a storage service may obtain a schedule associated with enabling different storage devices at different times. The storage service may also identify a request of a batch of requests for accessing the storage devices. In some cases, the storage service may also determine which storage device to activate based at least in part on the schedule and/or the request. Further, the storage service may manage power of a storage device based at least in part on the determination of which storage device to activate.

Abstract: A cost-effective, durable and scalable archival data storage system is provided herein that allow customers to store, retrieve and delete archival data objects, among other operations. For data storage, in an embodiment, the system stores data in a transient data store and provides a data object identifier may be used by subsequent requests. For data retrieval, in an embodiment, the system creates a job corresponding to the data retrieval and provides a job identifier associated with the created job. Once the job is executed, data retrieved is provided in a transient data store to enable customer download. In various embodiments, jobs associated with storage, retrieval and deletion are scheduled and executed using various optimization techniques such as load balancing, batch processed and partitioning. Data is redundantly encoded and stored in self-describing storage entities increasing reliability while reducing storage costs. Data integrity is ensured by integrity checks along data paths.