Amazon Technologies, Inc.

Bogdan Eduard Ghidireac

Peter Sirota

George Steven McPherson

Xing Wu

Jonathan Andrew Fritz

Mathew Mills

Robert Frederick Leidle

Methods and apparatus for providing consistent data storage in distributed computing systems. A consistent distributed computing file system (consistent DCFS) may be backed by an object storage service that only guarantees eventual consistency, and may leverage a data storage service (e.g., a database service) to store and maintain a file system/directory structure (a consistent DCFS directory) for the consistent DCFS that may be accessed by compute nodes for file/directory information relevant to the data objects in the consistent DCFS, rather than relying on the information maintained by the object storage service. The compute nodes may reference the consistent DCFS directory to, for example, store and retrieve strongly consistent metadata referencing data objects in the consistent DCFS. The compute nodes may, for example, retrieve metadata from consistent DCFS directory to determine whether the object storage service is presenting all of the data that it is supposed to have.

Consistent data storage in distributed computing systems

Metrics may be recomputed using available computing resources according to elastic service level agreements (SLAs). The available computing resources may have a predetermined capacity, such as a fixed number of servers, computation time, and/or computation cost. The SLA may define an accuracy, confidence level, or goal that is used when determining a frequency to recompute metrics. The elastic SLA may vary and/or may be adjusted based on a relative difficulty of the computational task, an expected or requested accuracy of the computation task, or other predetermined design constraints.

Elastic service level agreement for metrics accuracy computation

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Iasi, Romania

Bogdan Eduard Ghidireac