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A dynamic modelling framework for control-based computing system design.

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Title: A dynamic modelling framework for control-based computing system design.
Authors: Papadopoulos, Alessandro Vittorio1 (AUTHOR) alessandro.papadopoulos@control.lth.se, Maggio, Martina1 (AUTHOR), Terraneo, Federico2 (AUTHOR), Leva, Alberto2 (AUTHOR)
Source: Mathematical & Computer Modelling of Dynamical Systems. May2015, Vol. 21 Issue 3, p251-271. 21p.
Subjects: Dynamic models, Computer system design & construction, Heuristic algorithms, Feedback control systems, Resource allocation, Computer scheduling
Abstract: This manuscript proposes a novel viewpoint on computing systems’ modelling. The classical approach is to consider fully functional systems and model them, aiming at closing some external loops to optimize their behaviour. On the contrary, we only model strictly physical phenomena, and realize the rest of the system as a set of controllers. Such an approach permits rigorous assessment of the obtained behaviour in mathematical terms, which is hardly possible with the heuristic design techniques, that were mainly adopted to date. The proposed approach is shown at work with three relevant case studies, so that a significant generality can be inferred from it. [ABSTRACT FROM PUBLISHER]
Copyright of Mathematical & Computer Modelling of Dynamical Systems is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: A dynamic modelling framework for control-based computing system design.
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  Data: <searchLink fieldCode="DE" term="%22Dynamic+models%22">Dynamic models</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+system+design+%26+construction%22">Computer system design & construction</searchLink><br /><searchLink fieldCode="DE" term="%22Heuristic+algorithms%22">Heuristic algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Feedback+control+systems%22">Feedback control systems</searchLink><br /><searchLink fieldCode="DE" term="%22Resource+allocation%22">Resource allocation</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+scheduling%22">Computer scheduling</searchLink>
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  Data: This manuscript proposes a novel viewpoint on computing systems’ modelling. The classical approach is to consider fully functional systems and model them, aiming at closing some external loops to optimize their behaviour. On the contrary, we only model strictly physical phenomena, and realize the rest of the system as a set of controllers. Such an approach permits rigorous assessment of the obtained behaviour in mathematical terms, which is hardly possible with the heuristic design techniques, that were mainly adopted to date. The proposed approach is shown at work with three relevant case studies, so that a significant generality can be inferred from it. [ABSTRACT FROM PUBLISHER]
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  Data: <i>Copyright of Mathematical & Computer Modelling of Dynamical Systems is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1080/13873954.2014.942785
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      – Code: eng
        Text: English
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        PageCount: 21
        StartPage: 251
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        Type: general
      – SubjectFull: Computer system design & construction
        Type: general
      – SubjectFull: Heuristic algorithms
        Type: general
      – SubjectFull: Feedback control systems
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      – SubjectFull: Resource allocation
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      – SubjectFull: Computer scheduling
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              M: 05
              Text: May2015
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              Y: 2015
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