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Determine a load balancing mechanism for allocation of shared resources in a storage system using a machine learning module based on number of I/O operations

專利號
US11175958B2
公開日期
2021-11-16
申請人
INTERNATIONAL BUSINESS MACHINES CORPORATION(US NY Armonk)
發(fā)明人
Lokesh M. Gupta; Matthew R. Craig; Beth Ann Peterson; Kevin John Ash
IPC分類
G06F9/50; G06N3/08; G06N20/00
技術(shù)領(lǐng)域
tcbs,learning,storage,in,machine,host,module,adapter,controller,resources
地域: NY NY Armonk

摘要

A plurality of interfaces that share a plurality of resources in a storage controller are maintained. In response to an occurrence of a predetermined number of operations associated with an interface of the plurality of interfaces, an input is provided on a plurality of attributes of the storage controller to a machine learning module. In response to receiving the input, the machine learning module generates an output value corresponding to a number of resources of the plurality of resources to allocate to the interface in the storage controller.

說明書

FIG. 3 illustrates a block diagram that shows a single-output machine learning module for load balancing of resources, in accordance with certain embodiments;

FIG. 4 illustrates a block diagram that shows a multi-output machine learning module for load balancing of resources, in accordance with certain embodiments;

FIG. 5 illustrates a block diagram that shows exemplary inputs to the machine learning module, in accordance with certain embodiments;

FIG. 6 illustrates a block diagram that shows an exemplary output of the machine learning module and the adjustment of resources for interfaces, in accordance with certain embodiments;

FIG. 7 illustrates a flowchart that shows how the weights and biases of the machine learning module are adjusted, in accordance with certain embodiments;

FIG. 8 illustrates a flowchart that shows a training of the machine learning module, in accordance with certain embodiments;

FIG. 9 illustrates a block diagram that shows local and global queues for interfaces, such as ports, in accordance with certain embodiments;

FIG. 10 illustrates a block diagram that shows how margin of error is computed based on local and global queuing, in accordance with certain embodiments

權(quán)利要求

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