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DETERMINE A LOAD BALANCING MECHANISM FOR SHARED RESOURCES IN A STORAGE SYSTEM BY TRAINING A MACHINE LEARNING MODULE
DETERMINE A LOAD BALANCING MECHANISM FOR SHARED RESOURCES IN A STORAGE SYSTEM BY TRAINING A MACHINE LEARNING MODULE
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机译:通过训练机器学习模块来确定存储系统中共享资源的负载平衡机制
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摘要
A machine learning module receives inputs comprising attributes of a storage controller, wherein the attributes affect allocation of a plurality of resources to a plurality of interfaces. In response to a predetermined number of I/O operations occurring in the storage controller, a generation is made via forward propagation through a plurality of layers of the machine learning module, of an output value corresponding to a number of resources to allocate to an interface. A margin of error is calculated based on comparing the generated output value to an expected output value that is generated from an indication of a predetermined function based at least on a number of I/O operations that are waiting for a resource and a number of available resources. An adjustment is made of weights of links that interconnect nodes of the plurality of layers via back propagation, to reduce the margin of error.
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