A multi-level AI-based scheduler to increase adaptiveness in time-constrained mobile communication environments
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A multi-level AI-based scheduler to increase adaptiveness in time-constrained mobile communication environments Jesus Fernandez-Conde1
•
Pedro Cuenca-Jimenez1 • Rafael Toledo-Moreo2
Accepted: 9 October 2020 Springer Nature B.V. 2020
Abstract Scheduling is one of the classic problems in real-time adaptive systems. Due to the complex nature of these applications, the implementation of some sort of run-time intelligence is required, in order to build intelligent systems capable of operating adequately in dynamic environments. The incorporation of artificial intelligence planning techniques in a realtime scenario allows a timely reaction to external and internal events. In this work, a layered architecture integrating realtime scheduling at the bottom level and artificial intelligence planning techniques at the top level has been designed, to implement a multi-level scheduler with the capability to perform effectively in this kind of situation. This multi-level scheduler has been implemented and evaluated in a simulated information access system destined to broadcast information to mobile users in a time-constrained communication environment, modeling mobile users’ realistic information access patterns. Results show that the incorporation of artificial intelligence planning improves the overall performance, adaptiveness, and responsiveness with respect to the non-AI-based scheduler version of the system. Keywords Real-time scheduling AI planner Mobile computing Multi-level architecture Mathematics Subject Classification 68T05
1 Introduction Constant technical advances in the development of portable computing devices, rapidly expanding wireless technologies, and availability of broadband links for
A conference version Fernandez-Conde et al. (2019) containing part of the research work presented in this paper appeared under the title ‘‘Improving Scheduling Performance of a Real-Time System by Incorporation of an Artificial Intelligence Planner’’ in the conference IWINAC 2019. & Jesus Fernandez-Conde [email protected] Pedro Cuenca-Jimenez [email protected] Rafael Toledo-Moreo [email protected] 1
GSyC Department, ETSIT, Universidad Rey Juan Carlos, Fuenlabrada, Madrid, Spain
2
Space Science and Engineering Lab, Department of Electronics and Computer Architecture, ETSIT, Universidad Polite´cnica de Cartagena, Cartagena, Spain
mobile users have given rise to the appearance of a multitude of applications with a common factor: the need for on-time information access, anytime, anywhere. Information-access systems for mobile users represent a constantly expanding segment in the information dissemination industry. In these asymmetric communication environments, the main challenge to address is to cope with the dynamism and time constraints of the information demands, with the added restriction of the limited available bandwidth, in both downlink and uplink directions. The research work presented in this article focuses on the evaluation of the incorporatio
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