Table 1. An overview of related works compared to scenario-based meta-scheduling (SBMeS)
Table 2. Overview of existing real-time scheduling tools [7]
Table 3. Overview of input table [90]
Table 4. Sample data calculated for Figure 14
Table 5. Sample raw input data before forming in XML format
Table 6. Difference between the designed scenarios
Table 7. Results of dynamic slack (DS) schedules
Table 8. Memory consumption and saving via delta scheduling technique (DST)
Table 9. Sample results of Example 2
Table 10. Results of delta scheduling technique (DST) memory saving for Example 2
Table 11. Sample results for Example 3
Table 12. Results of delta scheduling technique (DST) memory saving for Example 3
Table 13. Meta-scheduling (MeS) input constant
Table 14. Results of delta scheduling technique (DST) memory saving
Table 15. Some collected results for model example
Table 16. Energy results for example
Table 17. Meta-scheduling (MeS) input constant devices [13]
Table 18. Energy results for Example 7.3.2
Table 19. General results for a model example
Table 20. Results of delta scheduling technique (DST) memory saving
Table 21. Meta-scheduling (MeS) input constant
Table 22. General results of for the example model
Table 23. Results of delta scheduling technique (DST) memory saving
Table 24. The context model (CM) for application model (AM) and physical model (PM) scenarios
Table 25. Meta-scheduling (MeS) input constant
Table 26. Output results
Table 27. Redundancy path routing effect
