| Title |
EDF-VD Scheduling-Based Mixed Criticality Cyber-Physical Systems in Smart City Paradigm |
| ID_Doc |
41356 |
| Authors |
Balaji, GN; Sethupathi, M; Sivaramakrishnan, N; Theeijitha, S |
| Title |
EDF-VD Scheduling-Based Mixed Criticality Cyber-Physical Systems in Smart City Paradigm |
| Year |
2020 |
| Published |
|
| DOI |
10.1007/978-981-15-0146-3_90 |
| Abstract |
Dynamic data-driven simulation is introduced to improve the scheduling performance. The customer will need a just in delivery of service scheduling. Mathematical model of the scheduling problem is constructed, and a scheduling method is proposed to improve the performance of scheduling. Four different optimizations for the dynamic cloud manufacturing scheduling problems are presented in this paper, namely average service utilization rate, average task delay time, weighted average task delay time, proportion of delay tasks and constraints. The scheduling strategies are constructed and simulated in the SIMSO software. |
| Author Keywords |
Embedded system; Worst-case execution time; Earliest deadline first; Earliest deadline first virtual deadline; Preemptive |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000659674600090 |
| WoS Category |
Computer Science, Information Systems; Computer Science, Theory & Methods; Telecommunications |
| Research Area |
Computer Science; Telecommunications |
| PDF |
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