公开(公告)号：US10761586B2

公开(公告)日：2020-09-01

申请号：US15867880

申请日：2018-01-11

Applicant: Intel Corporation

Inventor： Keqiang Wu ,  Yong-fong Lee ,  Krishnaswamy Viswanathan ,  Emad Guirguis

IPC: G06F1/32 ,  G06F1/324 ,  G06F1/28 ,  G06F1/3206

Abstract: Systems, apparatuses and methods may provide for technology that determines a first real-time correlation between a power consumption of a processor and an operating frequency of the processor, determines a second real-time correlation between a performance level of the processor and the operating frequency of the processor, and sets the operating frequency of the processor to a value based on the first and second real-time correlations. In one example, the performance level or performance per watt of the processor decreases at one or more operating frequencies greater than the value.

公开(公告)号：US20190041943A1

公开(公告)日：2019-02-07

申请号：US15867880

申请日：2018-01-11

Applicant: Intel Corporation

Inventor： Keqiang Wu ,  Yong-fong Lee ,  Krishnaswamy Viswanathan ,  Emad Guirguis

IPC: G06F1/32 ,  G06F1/28

CPC classification number: G06F1/324 ,  G06F1/28 ,  G06F1/3206

Abstract: Systems, apparatuses and methods may provide for technology that determines a first real-time correlation between a power consumption of a processor and an operating frequency of the processor, determines a second real-time correlation between a performance level of the processor and the operating frequency of the processor, and sets the operating frequency of the processor to a value based on the first and second real-time correlations. In one example, the performance level or performance per watt of the processor decreases at one or more operating frequencies greater than the value.

公开(公告)号：US20180241811A1

公开(公告)日：2018-08-23

申请号：US15439668

申请日：2017-02-22

Applicant: Intel Corporation

Inventor： Li Chen ,  Krishnaswamy Viswanathan ,  Khun Ban

IPC: H04L29/08

CPC classification number: H04L67/1012 ,  H04L67/1008

Abstract: Disclosed is a mechanism for determining incompatible co-tenants in a cloud network. Cloud performance data is received indicating resource usage of tenants operating on a per server basis. Cross-correlation analysis is performed on past resource usage for each tenant pair operating on the server to determine correlated tenant pairs. Time series forecasting of predicted resource usage is performed for each tenant in the correlated tenant pairs. Cross-correlation analysis is then performed on the predicted resource usage for each correlated tenant pair to determine incompatible co-tenant pairs. The determined incompatible co-tenant pairs may be forwarded toward an orchestration system for hardware resource allocation in the cloud network.