ESTIMATION OF APPLICATION PERFORMANCE VARIATION WITHOUT A PRIORI KNOWLEDGE OF THE APPLICATION
Patent №
US 9,954,744
Granted
2018-04-24
Filed 2015
Owner
INTEL CORPORATION
Lab
—
AI components
2
kr · hardware
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
14842438
Generally, this disclosure provides systems, devices, methods and computer readable media for estimation of application execution performance variations on a processor, without a priori knowledge of the application. A system may include network traffic data collection circuitry configured to sample a first network traffic statistic, from a network interface circuit associated with the processor, at a first sampling time interval during the application execution. The network traffic data collection circuitry may also be configured to sample a second network traffic statistic from the network interface circuit at a second sampling time interval during the application execution. The system may further include performance analysis circuitry configured to calculate a ratio of the first network traffic statistic to the second network traffic statistic and to estimate the application execution performance variation from the first sampling time interval to the second sampling time interval, wherein the estimation is proportional to the calculated ratio.
AI classification
Ownership
INTEL CORPORATION
assignment · 364700488
Assignors
WU, KEQIANG, FENG, YING, YU, ZHIDONG, BAN, KHUN, CHOW, KINGSUM
On an employer assignment, the assignors are typically the inventors.