Paper Info
Title
Improving Scheduling Performance of a Real-Time System by Incorporation of an Artificial Intelligence Planner.
Abstract
Scheduling is one of the classic problems in real-time systems. In real-time adaptive applications, the implementation of some sort of run-time intelligence is required, in order to build real-time intelligent systems capable of operating adequately in dynamic and complex environments. The incorporation of artificial intelligence planning techniques in a real-time architecture allows the on-line reaction to external and internal unexpected events. In this work a layered architecture integrating real-time scheduling and artificial intelligence planning techniques has been designed, in order to implement a real-time scheduler with capability to perform effectively in these scenarios. This multi-level scheduler has been implemented and evaluated in a simulated information access system destined to broadcast information to mobile users. Results show that incorporation of artificial intelligence to the real-time scheduler improves the performance, adaptiveness and responsiveness of the system.
Year
DOI
Venue
2019
10.1007/978-3-030-19651-6_13
Lecture Notes in Computer Science
Keywords
Field
DocType
Real-time scheduling,AI planner,Mobile computing
Mobile computing,Intelligent decision support system,Scheduling (computing),Computer science,sort,Planner,Real-time operating system,Artificial intelligence,Unexpected events,Multitier architecture
Conference
Volume
ISSN
Citations 
11487
0302-9743
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Jesus Fernández-Conde100.34
Pedro Cuenca-Jimenez200.34
Rafael Toledo-Moreo332731.58