Abstract
Self-adaptive techniques have been introduced in the last few years to tackle the growing complexity of software/hardware systems, where a significant complexity factor leans on their dynamic nature that is subject to sudden (and sometime unpredictable) changes. Adaptation actions are aimed at satisfying system goals that are often related to non-functional properties such as performance, reliability, etc. In principle, an adaptable software/hardware system can be considered a controllable plant and, in fact, quite promising results have been recently obtained by applying control theory to adaptation problems in this domain.
Goal of this paper is to provide a design support for introducing adaptation mechanisms in Queuing Network models of software/hardware systems. For this goal, we present a consolidated library of modeling components (in Modelica) representing Queuing Network elements with adaptable parameters. Adaptive Queuing Networks (AQN) can be built by properly assembling such elements. Once feedback control loop(s) are plugged into AQNs, it is possible to analyze and control (before the implementation) the system performance under changes due to external disturbances.
We show the construction of an AQN example model by using our library, and we demonstrate the effectiveness of our approach through experimental results provided by the simulation of a controlled AQN.
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Notes
- 1.
Note that each parameter described in this section refers to a specific class of jobs, where not differently specified.
- 2.
Note that in a Station the Rout_req input of the StationQueue element has been joined to the homonym output of the StationServer to implement the policy of job extraction from the queue, so they disappear from the figure.
- 3.
For sake of simplicity, only p has been defined as a knob in the current implementation of our library. The library is open to make all other probabilities as knobs.
- 4.
A resource can be downloaded at http://www.di.univaq.it/davide.arcelli/resources/EPEW2016.zip including the current version of our library and the usage example in this paper.
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Arcelli, D., Cortellessa, V., Leva, A. (2016). A Library of Modeling Components for Adaptive Queuing Networks. In: Fiems, D., Paolieri, M., Platis, A. (eds) Computer Performance Engineering. EPEW 2016. Lecture Notes in Computer Science(), vol 9951. Springer, Cham. https://doi.org/10.1007/978-3-319-46433-6_14
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