Title :
Hybrid algorithms for dynamic schedulability testing
Author :
McElhone, C. ; Burns, A. ; Davis, R.
Author_Institution :
Sch. of Comput. & Math., Teesside Univ, Middlesbrough, UK
Abstract :
The paper describes an investigation into the performance of a variety of algorithms for dynamic schedulability testing. A real time node may run its own set of resident periodic tasks and may also receive aperiodic requests for computations to be completed within hard deadlines. In order to decide whether each request is schedulable, and can therefore be accepted, the node may use a guarantee algorithm. Such algorithms trade off complexity against pessimism. The paper describes how algorithms of hybrid complexity can achieve the best trade off for given characteristics of the resident periodic task set
Keywords :
computational complexity; program testing; real-time systems; scheduling; aperiodic requests; dynamic schedulability testing; guarantee algorithm; hard deadlines; hybrid algorithms; hybrid complexity; pessimism; real time node; resident periodic task set; resident periodic tasks; Computer science; Dynamic scheduling; Heuristic algorithms; Optimal scheduling; Processor scheduling; Real time systems; Runtime; Scheduling algorithm; Springs; Testing;
Conference_Titel :
Real-Time Systems, 1995. Proceedings., Seventh Euromicro Workshop on
Conference_Location :
Odense
Print_ISBN :
0-8186-7112-2
DOI :
10.1109/EMWRTS.1995.514319