Abstract:
A system and computer-based method for performing a data transaction in a network storage system is provided. In an embodiment, the method includes receiving, from a client, a first data transaction request including a first data identifier associated with a first namespace protocol; determining a storage system associated with the first data identifier and associated with a second namespace protocol; determining a second data identifier associated with the first data identifier, wherein the second data identifier conforms to the second namespace protocol; and forwarding a second data transaction request including the second data identifier to the storage system based on determining an association between the second data identifier and the first data identifier, wherein the first namespace protocol and the second namespace protocol are different.
Abstract:
A system and computer-based method for performing a data transaction in a network storage system is provided. In an embodiment, the method includes receiving, from a client, a first data transaction request including a first data identifier associated with a first namespace protocol; determining a storage system associated with the first data identifier and associated with a second namespace protocol; determining a second data identifier associated with the first data identifier, wherein the second data identifier conforms to the second namespace protocol; and forwarding a second data transaction request including the second data identifier to the storage system based on determining an association between the second data identifier and the first data identifier, wherein the first namespace protocol and the second namespace protocol are different.
Abstract:
In the area of storage management, service automation can be realized through the use of “MAPE” loop(s). A Planner (P) interacts with the Monitoring (M), Analysis (A) and Execution (E) components in a closed loop. For each new option or potential planning action the Planner (P) invokes the Analysis (A) component. The correctness, as well as effectiveness, of the planning decision is dependent on the Analysis (A) component. Embodiments can utilize an adaptive Analysis (A) component (i.e., an analysis component that can be retrained) that also associates a value of confidence and a corresponding error in the evaluation along with a predicted impact. The Planner (P) component uses this additional information for quoting the final impact of a particular planning action as part of an adaptive MAPE loop to provide improved resource utilization and resource management.
Abstract:
In the area of storage management, service automation can be realized through the use of “MAPE” loop(s). A Planner (P) interacts with the Monitoring (M), Analysis (A) and Execution (E) components in a closed loop. For each new option or potential planning action the Planner (P) invokes the Analysis (A) component. The correctness, as well as effectiveness, of the planning decision is dependent on the Analysis (A) component. Embodiments can utilize an adaptive Analysis (A) component (i.e., an analysis component that can be retrained) that also associates a value of confidence and a corresponding error in the evaluation along with a predicted impact. The Planner (P) component uses this additional information for quoting the final impact of a particular planning action as part of an adaptive MAPE loop to provide improved resource utilization and resource management.