Title
Research on Schedulability of Partition Scheduling for IMA
Abstract
Integrated modular avionics (IMA) is widely adopted by avionics industry to achieve substantial cost reduction in the development, operation and maintenance of airplanes. To meet recommended real-time and fault-tolerance requirements of IMA software architecture, the operating system (OS) should support spatial and temporal partitioning in order to integrate different applications. However, the schedulability test of partition scheduling is undetermined. We regard non-partition scheduling time as a pseudo-task with highest priority and give the schedulability test of partition scheduling based on rate monotonic (RM) algorithm. With the test, the scheduling requirement can be conducted. Through an example, the computing of scheduling parameters is proposed and three cyclic scheduling strategies at the OS level are constructed. The schedulability test can be used to validate the scheduling parameters of temporal partitioning in IMA.
Year
DOI
Venue
2011
10.1109/ISCID.2011.183
ISCID (2)
Keywords
Field
DocType
schedulability,scheduling parameter,rate monotonic,partition scheduling,scheduling,schedulability test,avionics software,non-partition scheduling time,aerospace computing,ima,cyclic scheduling strategy,operating systems (computers),temporal partitioning,integrated modular avionics,operating system,scheduling requirement,software architecture,rate monotonic algorithm,fault-tolerance requirements,os level,ima software architecture,schedulability research,os,avionics,avionics industry,rm,real-time requirements,cost reduction,schedules,servers,job shop scheduling
Computer science,Artificial intelligence,Rate-monotonic scheduling,Fixed-priority pre-emptive scheduling,Job shop scheduling,Fair-share scheduling,Deadline-monotonic scheduling,Earliest deadline first scheduling,Dynamic priority scheduling,Machine learning,Reliability engineering,Round-robin scheduling,Embedded system
Conference
Volume
ISBN
Citations 
2
978-1-4577-1085-8
2
PageRank 
References 
Authors
0.41
3
2
Name
Order
Citations
PageRank
Ming Wan120.75
Song Tian2102.59