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The work in [18] models requirement changes at runtime.
An on-line learning-based approach for handling unanticipated changes at runtime is presented in (Esfahani et al. 2013).
Based on our experience with these simulation environments, we sketch tool support for simulating architectural changes at runtime.
In addition, the importance of an AC to the system performance often relies on the states of the managed objects, and thus changes at runtime.
In this paper, we present a Petri net-based approach that facilitates making structural changes at runtime to units of learning specified in IMS Learning Design IMS LDD).
From Figure 15, it may be concluded that when the result of partitioning changes at runtime, then the computation time needed for our scheduler to schedule all the DFG tasks is widely dependent on this modification of tasks implementations.
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We present a dynamically reconfigurable multiCore architecture that detects program phase change at runtime and adapts to the changing program behavior by reconfiguring itself.
It could change at runtime.
The writing mode can be changed at runtime for the ease of tunning the performance.
3.2, the importance and cost-effectiveness of L may change at runtime.
Ubiquitous environments are often considered as highly dynamic environments and contextual information can change at runtime.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com