Reference:
, "Making Mechatronic Agents Resource-aware in order to Enable Safe Dynamic Resource Allocation", in B. Georgio, Ed., Proc. of Fourth ACM International Conference on Embedded Software 2004 (EMSOFT 2004), Pisa, Italy, pp. 175-183, ACM Press, September 2004.
Abstract:
Mechatronic systems are embedded software systems with hard real-time requirements. Predictability is of paramount importance for these systems. Thus, their design has to take the worst-case into account and the maximal required resources are usually allocated upfront by each process. This is safe, but usually results in a rather poor resource utilization. If in contrast resource-aware agents, which are able to allocate and free resources in a controllable safe manner, instead of thumb processes are present, then a resource manager will coordinate their safe dynamic resource allocation at run time. But given such a resource manager, how can we transform thumb processes into smart resource-aware agents? Starting with mechatronic components that describe their reconfiguration by means of statecharts, we present how to automatically synthesize the additional information and code, which enables a process to become a resource-aware agent.
Links:
@InProceedings{BGGO04_ag,
AUTHOR = {Burmester, Sven and Gehrke, Matthias and Giese, Holger and Oberthür, Simon},
TITLE = {{Making Mechatronic Agents Resource-aware in order to Enable Safe Dynamic Resource Allocation}},
YEAR = {2004},
MONTH = {September},
BOOKTITLE = {Proc. of Fourth ACM International Conference on Embedded Software 2004 (EMSOFT 2004), Pisa, Italy},
PAGES = {175-183},
EDITOR = {Georgio, B.},
PUBLISHER = {ACM Press},
PDF = {uploads/pdf/BGGO04_ag_paper-4.pdf},
ABSTRACT = {Mechatronic systems are embedded software systems with hard real-time requirements. Predictability is of paramount importance for these systems. Thus, their design has to take the worst-case into account and the maximal required resources are usually allocated upfront by each process. This is safe, but usually results in a rather poor resource utilization. If in contrast resource-aware agents, which are able to allocate and free resources in a controllable safe manner, instead of thumb processes are present, then a resource manager will coordinate their safe dynamic resource allocation at run time. But given such a resource manager, how can we transform thumb processes into smart resource-aware agents? Starting with mechatronic components that describe their reconfiguration by means of statecharts, we present how to automatically synthesize the additional information and code, which enables a process to become a resource-aware agent.}
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