Permalink
Find file Copy path
Fetching contributors…
Cannot retrieve contributors at this time
38 lines (36 sloc) 1.69 KB
amazon_s3_presentation_url amazon_s3_video_url author categories comments date excerpt featured_image_name image layout link post_format session_id session_track slideshare_embed_url slideshare_presentation_url slug speakers tags title video_length video_thumbnail wordpress_id youtube_video_url
connect
bkk16
false
2016-02-22 09:20:39 -0800
Review design. The current approach to predict the idle time duration is based on statistics on the previous idle time durations. The presentation will show the weaknesses of this approach and how by tracking the irq behavior we predict the next event to guess estimate the idle duration.
BKK16-203.jpg
featured name path
true
BKK16-203.jpg
/assets/images/featured-images/BKK16-203.jpg
resource-post
Video
BKK16-203
Power Management
bkk16-203
Daniel Lezcano
IRQ
BKK16-203: Irq prediction or how to better estimate idle time
53:43
None
3325

Review design. The current approach to predict the idle time duration is based on statistics on the previous idle time durations. The presentation will show the weaknesses of this approach and how by tracking the irq behavior we predict the next event to guess estimate the idle duration.

Event Date: March 8, 2016