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.

Knowledge representationAI hardwareH04L 43/04H04L 43/024H04L 43/062H04L 43/067H04L 43/0817H04L 43/16

AI classification

AI hardware0.75
Knowledge representation0.52
Machine learning0.14
Planning0.06
Vision0.02
Natural language0.00
Speech0.00
Evolutionary computation0.00

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.

From the same owner

© 2026 NYSGPT2525 LLC