System-level modeling in the ADEPT environment of a distributed computer system for real-time applications

Author(s):  
A.K. Ghosh ◽  
B.W. Johnson ◽  
J.A. Profeta
Author(s):  
Ruoxu Sun ◽  
Jinyu Zhan ◽  
Wei Jiang ◽  
Qi Dong ◽  
Yalan Ye

In this paper, we propose a system-level optimization approach for mixed-criticality distributed real-time systems with safety and energy considerations. We firstly depict a mixed-criticality distributed task model for real-time applications, in which the safety of the system is influenced by dynamic voltage and frequency scaling (DVFS). Due to the huge complexity of solving the problem optimally, a heuristic algorithm is proposed to approach the system-level optimization through a quasi-static scheduling strategy. The experiments demonstrate the efficiency of the proposed approach, which can obtain energy consumption while guaranteeing the system safety requirements.


Author(s):  
Yang Li ◽  
Qing Chang

Information of battery manufacturing system is becoming increasingly transparent, detailed and real-time. Despite the big potential in improving productivity, the advantages of information are not fully realized due to a lack of system level modeling. Motivated by this need, we develop an integrated system modeling approach to quantify the systematic impact of stations and supporting activities with a unified index called event based cost (EBC). The analysis provides a severity ranking of stations and supporting activities. A case study is conducted to demonstrate the application of the model in a battery production system and its ability to facilitate decision making.


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