Abstract:
Distributed storage systems support SQL while also providing scalability and fault tolerance by utilizing an SQL library (the SQL execution component) layered on top of a transactional key-value system (the storage component). The SQL library comprises a parser and an execution engine running at the client, while the storage component comprises a key-value system for storing the data. The SQL library parses SQL queries received from client applications and maps them to transactions on the key-value system. The key-value system stores data items identified by key and provides concurrency control mechanisms to handle concurrent transactions. The key-value system may be a distributed system with several storage servers, each attached to one or more storage devices.
Abstract:
An application programming interface is provided that allows applications to assign multiple service-level agreements to their data transactions. The service-level agreements include latency bounds and consistency guarantees. The applications may assign utility values to each of the service-level agreements. A monitor component monitors the various replica nodes in a cloud storage system for latency and consistency, and when a transaction is received from an application, the monitor determines which of the replica nodes can likely fulfill the transaction in satisfaction of any of the service-level agreements. Where multiple service-level agreements can be satisfied, the replica node that can fulfill the transaction according to the service-level agreement with the greatest utility is selected. The application may be charged for the transaction based on the utility of the service-level agreement that was satisfied.
Abstract:
An application programming interface is provided that allows applications to assign multiple service-level agreements to their data transactions. The service-level agreements include latency bounds and consistency guarantees. The applications may assign utility values to each of the service-level agreements. A monitor component monitors the various replica nodes in a cloud storage system for latency and consistency, and when a transaction is received from an application, the monitor determines which of the replica nodes can likely fulfill the transaction in satisfaction of any of the service-level agreements. Where multiple service-level agreements can be satisfied, the replica node that can fulfill the transaction according to the service-level agreement with the greatest utility is selected. The application may be charged for the transaction based on the utility of the service-level agreement that was satisfied.
Abstract:
Distributed storage systems support SQL while also providing scalability and fault tolerance by utilizing an SQL library (the SQL execution component) layered on top of a transactional key-value system (the storage component). The SQL library comprises a parser and an execution engine running at the client, while the storage component comprises a key-value system for storing the data. The SQL library parses SQL queries received from client applications and maps them to transactions on the key-value system. The key-value system stores data items identified by key and provides concurrency control mechanisms to handle concurrent transactions. The key-value system may be a distributed system with several storage servers, each attached to one or more storage devices.