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Multi-agent Adaptive Architecture for Flexible Distributed Real-time Systems
Ref: CISTER-TR-180404       Publication Date: 2018

Multi-agent Adaptive Architecture for Flexible Distributed Real-time Systems

Ref: CISTER-TR-180404       Publication Date: 2018

Abstract:
Recent critical embedded systems become more and more complex and usually react to their environment that requires to amend their behaviors by applying run-time reconfiguration scenarios. A system is defined in this paper as a set of networked devices where each of which has its own OS (Operating System), a processor to execute related periodic software tasks, and a local battery. A reconfiguration is any operation allowing the addition-removal-update of tasks to adapt the device and the whole system to its environment. It may be a reaction to a fault or even optimization of the system functional behavior. Nevertheless, such a scenario can cause the violation of real-time or energy constraints, which is considered a critical run-time problem. We propose a multi-agent adaptive architecture to handle dynamic reconfigurations and ensure the correct execution of the concurrent real-time distributed tasks under energy constraints. The proposed architecture integrates a centralized scheduler agent (ScA) which is the common decision making element for the scheduling problem. It is able to carry out the required run-time solutions based on operation research techniques and mathematical tools for the system’s feasibility. This architecture assigns also a reconfiguration agent (RAp) to each device p to control and handle the local reconfiguration scenarios under the instructions of ScA. A token-based protocol is defined in this case for the coordination between the different distributed agents in order to guarantee the whole system’s feasibility under energy constraints.

Authors:
Hamza Chniter
,
Yonghui Li
,
Mohamed Khalgui
,
Anis Koubâa
,
Zhiwu Li
,
Fethi Jarray


Published in IEEE Access journal, IEEE.

DOI:10.1109/ACCESS.2018.2825023.
ISSN: 2169-3536.



Record Date: 17, Apr, 2018