Paper Info
Title
Real-Time Tasks Scheduling with Value Control to Predict Timing Faults During Overload
Abstract
Modern real-time applications are very dynamic and cannot cope with the use of worst case execution time to avoid overload situations. Therefore scheduling algorithms that are able to prevent timing faults during overload are required. In this context, the value parameter has become useful to add generality and flexibility to such systems. In this paper we present the scheduling algorithm called DMB (Dynamic Misses Based), which is capable of dynamically changing tasks value in order to adjust their importance according to its timing faults rate. The main goal of DMB is to allow the prediction of timing faults during overloads and thereby support a dynamic tuning of tasks fault rate. It is used to enhance the features of the previously defined TAFT (Time-Aware Fault-Tolerant) scheduler. Obtained results show that DMB in conjunction with TAFT reached the most promising results during overloads, allowing to control tasks degradation in a graceful and determined way.
Year
DOI
Venue
2007
10.1109/ISORC.2007.52
Santorini Island
Keywords
Field
DocType
timing faults rate,tasks degradation,scheduling algorithm,dynamic tuning,tasks fault rate,value control,tasks value,overload situation,timing fault,value parameter,obtained result,predict timing faults,fault tolerant,worst case execution time,real time systems,automation,dynamic scheduling,real time,control systems,automatic control,fault tolerance
Worst-case execution time,Scheduling (computing),Computer science,Automation,Real-time computing,Automatic control,Fault tolerance,Control system,Dynamic priority scheduling,Digital multimedia broadcasting,Distributed computing
Conference
ISBN
Citations 
PageRank 
0-7695-2765-5
3
0.40
References 
Authors
6
3
Name
Order
Citations
PageRank
Crineu Tres130.40
Leandro Buss Becker211322.52
Edgar Nett334554.29