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What and Who
Title:Practical Real-Time with Look-Ahead Scheduling
Speaker:Dr. Michael Roitzsch
coming from:TU Dresden
Speakers Bio:
Event Type:SWS Colloquium
Visibility:D1, D2, D3, D4, D5, SWS, RG1, MMCI
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Level:AG Audience
Date, Time and Location
Date:Wednesday, 23 April 2014
Duration:60 Minutes
From video and music to responsive UIs, a lot of real-time workloads run on today's desktops and mobile devices, but real-time scheduling interfaces in commodity operating systems have not gained traction. As a result, the CPU scheduler receives no explicit knowledge about applications' needs and thus falls back to heuristics or best-effort operation.
I present ATLAS - the Auto-Training Look-Ahead Scheduler. ATLAS improves service to applications with regard to two non-functional properties: timeliness and overload detection. ATLAS provides timely service to applications, accessible through an easy-to-use interface. Deadlines specify timing requirements, workload metrics describe jobs. ATLAS employs machine learning to predict job execution times. Deadline misses are detected before they occur, so applications can react early.
ATLAS is currently a single-core scheduler, so after presenting the status quo I will discuss the planned multicore extension and the new application scenarios it enables.
Name(s):Vera Laubscher
EMail:--email address not disclosed on the web
Video Broadcast
Video Broadcast:YesTo Location:Saarbr├╝cken
To Building:E1 5To Room:029
Meeting ID:
Tags, Category, Keywords and additional notes
Attachments, File(s):
  • Christian Klein, 10/13/2016 05:25 PM
  • Vera Laubscher, 04/23/2014 08:21 AM
  • Vera Laubscher, 04/22/2014 09:47 AM -- Created document.