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- Pllana, Sabri, et al.
(författare)
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A Novel Approach for Hybrid Performance Modelingand Prediction of Large-Scale Computing Systems
- 2009
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Ingår i: International Journal of Grid and Utility Computing (IJGUC). - : InderScience Publishers. - 1741-8488. ; 1:4, s. 316-327
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Tidskriftsartikel (refereegranskat)abstract
- We present a novel approach for hybrid performance modelling and prediction of large-scale parallel and distributed computing systems, which combines Mathematical Modelling (MathMod) and Discrete-Event Simulation (DES). We use MathMod to develop parameterised performance models for components of the system. Thereafter, we use DES to describe the structure of system and the interaction among its components. As a result we obtain a high-level performance model, which combines the evaluation speed of mathematical models with the structure awareness and fidelity of the simulation model. We evaluate empirically our approach with a real-world material science program that comprises more than 15,000 lines of code.
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- Pllana, Sabri, et al.
(författare)
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Automatic Performance Model Transformation from a Human-intuitive to a Machine-efficient Form
- 2009
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Ingår i: Scalable computing. - : SCPE. - 1895-1767. ; 10:1, s. 35-47
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Tidskriftsartikel (refereegranskat)abstract
- We address the issue of the development of performance models for programs that may be executed on large-scale computing systems. The commonly used approaches apply non-standard notations for model specification and often require that the software engineer has a thorough understanding of the underlying performance modeling technique. We propose to bridge the gap between the performance modeling and software engineering by incorporating UML. In our approach we aim to permit the graphical specification of performance model in a human-intuitive fashion on one hand, but on the other hand we aim for a machine-efficient model evaluation. The user specifies graphically the performance model using UML. Thereafter, the transformation of the performance model from the human-usable UML representation to the machine-efficient C++ representation is done automatically. We describe our methodology and illustrate it with the automatic transformation of a sample performance model. Furthermore, we demonstrate the usefulness of our approach by modeling and simulating a real-world material science program.
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- Pllana, Sabri, et al.
(författare)
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Automatic Performance Model Transformation from UML to C+
- 2008
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Ingår i: Proceedings of the International Conference on Parallel Processing Workshops. - : IEEE Computer Society. - 9780769533759 ; , s. 228-235
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Konferensbidrag (refereegranskat)abstract
- We address the issue of the development of performance models for programs that may be executed on large-scale computing systems. The commonly used approaches apply non-standard notations for model specification and often require that the software engineer has a thorough understanding of the underlying performance modeling technique. We propose to bridge the gap between the performance modeling and software engineering by incorporating UML. In our approach we aim to permit the graphical specification of performance model in a human-intuitive fashion on one hand, but on the other hand we aim for a machine-efficient model evaluation. The user specifies graphically the performance model using UML. Thereafter, the transformation of the performance model from the human-usable UML representation to the machine-efficient C++ representation is done automatically. We describe our methodology and illustrate it with the automatic transformation of a sample performance model.
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- Pllana, Sabri, et al.
(författare)
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Hybrid Performance Modeling and Prediction of Large-Scale Computing Systems
- 2008
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Ingår i: International Conference on Complex, Intelligent and Software Intensive Systems, 2008. - : IEEE Computer Society. - 9780769531090 ; , s. 132-138
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Konferensbidrag (refereegranskat)abstract
- Performance is a key feature of large-scale computing systems. However, the achieved performance when a certain program is executed is significantly lower than the maximal theoretical performance of the large-scale computing system. The model-based performance evaluation may be used to support the performance-oriented program development for large-scale computing systems. In this paper we present a hybrid approach for performance modeling and prediction of parallel and distributed computing systems, which combines mathematical modeling and discrete-event simulation. We use mathematical modeling to develop parameterized performance models for components of the system. Thereafter, we use discrete-event simulation to describe the structure of system and the interaction among its components. As a result, we obtain a high-level performance model, which combines the evaluation speed of mathematical models with the structure awareness and fidelity of the simulation model. We evaluate empirically our approach with a real-world material science program that comprises more than 15,000 lines of code.
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- Xhafa, Fatos, et al.
(författare)
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Grid and P2P Middleware for Scientific Computing Systems
- 2010
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Ingår i: 2010 International Conference on Complex, Intelligent and Software Intensive Systems. - : IEEE. - 9781424459179 ; , s. 409-414
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Konferensbidrag (refereegranskat)abstract
- Grid and P2P systems have achieved a notable success in the domain of scientific and engineering applications, which commonly demand considerable amounts of computational resources. However, Grid and P2P systems remain still difficult to be used by the domain scientists and engineers due to the inherent complexity of the corresponding middleware and the lack of adequate documentation. In this paper we survey recent developments of Grid and P2P middleware in the context of scientific computing systems. The differences on the approaches taken for Grid and P2P middleware as well as the common points of both paradigms are highlighted. In addition, we discuss the corresponding programming models, languages, and applications.
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