Alibaba Group Holding Limited

Zhengxiong Tian

Bo Chen Zhu

Jun Song

Junjie Cai

Haihong Xu

Ying Chu Wang

Yijun Lu

Bo Yang

Yi Liu

Ling Xu

Hong Tang

Lingling Jin

Hong Zhou

Lin Yu

Jiangwei Huang

Guan Wang

Nan Zhang

Jun Ruan

Yu Zhou

Linquan Jiang

Chao Qian

Shiwei Li

Xiaolin Meng

Shuiwang Liu

Ying Wang

A method and an apparatus for scheduling a virtual machine are disclosed in. The method includes predicting resource data required by a virtual machine in a next time period to obtain a prediction result; obtaining used resource data and available resource data of candidate host machines; adding the prediction result to used resource data of each candidate host machine to obtain a superimposition result of each candidate host machine; and separately comparing the superimposition result of each candidate host machine with available resource data of each host machine, and selecting a target host machine corresponding to the virtual machine from the candidate host machines. The present disclosure solves the technical problem of a large waste of resources caused by the needs of a host machine to reserve resources for respective peaks of each virtual machine in the existing technologies.

Virtual machine scheduling method and apparatus

A method and a system for scheduling a virtual machine are disclosed. The method includes: obtaining energy consumption data of a rack and energy consumption data of host computers, wherein the rack is used to place the host computers; determining power consumption data of a virtual machine; determining a target host computer corresponding to the virtual machine according to the energy consumption data of the rack, the energy consumption data of the host computers, and the power consumption data of the virtual machine; and dispatching the virtual machine to the target host computer. The present disclosure solves the technical problems of unbalanced power consumption scheduling caused by virtual machine scheduling methods that are implemented only according to CPU parameters in the existing technologies.

Virtual machine scheduling method and system

Systems and methods for a hybrid system-on-chip usable for predicting performance and power requirements of a host server include a big cores module, including central processing units, for receiving and pre-processing performance and power metrics data of the host server and to allocate computing resources, a small cores module, including massively parallel processing units, for mapping each instance associated with host server in the performance and power metrics data to a corresponding massively parallel processing unit based on the allocated computing resources for a per-instance metrics calculation, and an artificial intelligence (AI) accelerator for calculating performance and power prediction results based on the per-instance calculations from the small cores module.

Hybrid system-on-chip for power and performance prediction and control

Growing community of inventors

Hangzhou, China

Zhengxiong Tian