Alipay (hangzhou) Information Technology Co., Ltd.

Hangzhou Dianzi University

Shuang Liu

Qiang Ding

Bojun Zhu

Qixing Zeng

Chong Shi

Dechuan Chen

For managing a translation lookaside buffer (TLB), an example computing device is deployed with virtual machines (VMs) by using a virtual machine monitor and has multiple CPU cores, where the VMs include a common VM running a common execution environment and a secure VM running a trusted execution environment (TEE) instance. In an example, in response to a target request for modifying a secure memory, the common execution environment sends an inter-processor interrupt (IPI) to one or more CPU cores that run the secure VM. Control data corresponding to the secure VM include a TLB control field set to a target value that indicates that all TLBs of the VM are flushed when exiting from the secure VM. In response to the IPI, the one or more CPU cores exit from a secure mode, and flushes all TLBs of the VM based on the target value.

Methods and corresponding computing devices for managing translation lookaside buffer in computing device

A fault detection method for refrigeration units based on an improved deep learning model is provided, including the following steps: S: obtaining operating parameters of a refrigeration unit in a normal operating state and in states with different fault types as data sets; S: detecting local outliers in the data set by using a local outlier factor algorithm and removing the local outliers, and then expanding the data set by using adaptive synthetic sampling; S: normalizing the data set; S: constructing a fault detection model; and S: inputting the parameters of the tested refrigeration unit into the fault detection model, and judging whether the tested refrigeration unit has a fault and the type of the fault.

Fault detection method for refrigeration units based on improved deep learning model

Growing community of inventors

Hangzhou, China

Shuang Liu