Academic literature on the topic 'Model-driven performance engineering'
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Journal articles on the topic "Model-driven performance engineering"
Nambiar, Manoj, Ajay Kattepur, Gopal Bhaskaran, Rekha Singhal, and Subhasri Duttagupta. "Model Driven Software Performance Engineering." ACM SIGMETRICS Performance Evaluation Review 43, no. 4 (February 25, 2016): 53–62. http://dx.doi.org/10.1145/2897356.2897363.
Full textSousa, Paul, and Eric J. Miller. "Performance-Driven Transit Funding Model." Transportation Research Record: Journal of the Transportation Research Board 1927, no. 1 (January 2005): 72–81. http://dx.doi.org/10.1177/0361198105192700109.
Full textHu, Guang-Zhong, Xin-Jian Xu, Shou-Ne Xiao, Guang-Wu Yang, and Fan Pu. "Product Data Model for Performance-driven Design." Chinese Journal of Mechanical Engineering 30, no. 5 (August 4, 2017): 1112–22. http://dx.doi.org/10.1007/s10033-017-0173-6.
Full textBoonma, P., and J. Suzuki. "Moppet: A Model-Driven Performance Engineering Framework for Wireless Sensor Networks." Computer Journal 53, no. 10 (February 16, 2010): 1674–90. http://dx.doi.org/10.1093/comjnl/bxp129.
Full textKATASONOV, ARTEM. "ONTOLOGY-DRIVEN SOFTWARE ENGINEERING: BEYOND MODEL CHECKING AND TRANSFORMATIONS." International Journal of Semantic Computing 06, no. 02 (June 2012): 205–42. http://dx.doi.org/10.1142/s1793351x12500031.
Full textCortellessa, Vittorio, Daniele Di Pompeo, Vincenzo Stoico, and Michele Tucci. "Software Model Refactoring Driven by Performance Antipattern Detection." ACM SIGMETRICS Performance Evaluation Review 49, no. 4 (June 2, 2022): 53–58. http://dx.doi.org/10.1145/3543146.3543159.
Full textCortellessa, Vittorio, Daniele Di Pompeo, Vincenzo Stoico, and Michele Tucci. "Software Model Refactoring Driven by Performance Antipattern Detection." ACM SIGMETRICS Performance Evaluation Review 49, no. 4 (June 2, 2022): 53–58. http://dx.doi.org/10.1145/3543146.3543159.
Full textMateen, Ahmad, and Alia Tabassum. "A Framework for Model Driven Transformation Engineering towards Software Architecture and Performance." International Journal of Computer Applications 143, no. 8 (June 17, 2016): 6–9. http://dx.doi.org/10.5120/ijca2016908959.
Full textLea, Michelle, Donald Thompson, BillVan Blarcom, Jon Eaton, Juergen Friesch, and John Richards. "Scale Model Testing of a Commercial Rim-Driven Propulsor Pod." Journal of Ship Production 19, no. 02 (May 1, 2003): 121–30. http://dx.doi.org/10.5957/jsp.2003.19.2.121.
Full textDeng, Xiuqi, Xin Bian, and Mingqi Li. "Data-Driven and Model-Driven Joint Detection Algorithm for Faster-Than-Nyquist Signaling in Multipath Channels." Sensors 22, no. 1 (December 30, 2021): 257. http://dx.doi.org/10.3390/s22010257.
Full textDissertations / Theses on the topic "Model-driven performance engineering"
De, Wet Nico. "Model driven communication protocol engineering and simulation based performance analysis using UML 2.0." Master's thesis, University of Cape Town, 2004. http://hdl.handle.net/11427/6392.
Full textThe automated functional and performance analysis of communication systems specified with some Formal Description Technique has long been the goal of telecommunication engineers. In the past SDL and Petri nets have been the most popular FDT's for the purpose. With the growth in popularity of UML the most obvious question to ask is whether one can translate one or more UML diagrams describing a system to a performance model. Until the advent of UML 2.0, that has been an impossible task since the semantics were not clear. Even though the UML semantics are still not clear for the purpose, with UML 2.0 now released and using ITU recommendation Z.109, we describe in this dissertation a methodology and tool called proSPEX (protocol Software Performance Engineering using XMI), for the design and performance analysis of communication protocols specified with UML.
Nguyen, Viet Hoa. "Une méthode fondée sur les modèles pour gérer les propriétés temporelles des systèmes à composants logiciels." Thesis, Rennes 1, 2013. http://www.theses.fr/2013REN1S090/document.
Full textThis thesis proposes an approach to integrate the use of time-related stochastic properties in a continuous design process based on models at runtime. Time-related specification of services are an important aspect of component-based architectures, for instance in distributed, volatile networks of computer nodes. The models at runtime approach eases the management of such architectures by maintaining abstract models of architectures synchronized with the physical, distributed execution platform. For self-adapting systems, prediction of delays and throughput of a component assembly is of utmost importance to take adaptation decision and accept evolutions that conform to the specifications. To this aim we define a metamodel extension based on stochastic Petri nets as an internal time model for prediction. We design a library of patterns to ease the specification and prediction of common time properties of models at runtime and make the synchronization of behaviors and structural changes easier. Furthermore, we apply the approach of Aspect-Oriented Modeling to weave the internal time models into timed behavior models of the component and the system. Our prediction engine is fast enough to perform prediction at runtime in a realistic setting and validate models at runtime
Jaziri, Faouzi. "Conception et analyse des biopuces à ADN en environnements parallèles et distribués." Thesis, Clermont-Ferrand 2, 2014. http://www.theses.fr/2014CLF22465/document.
Full textMicroorganisms represent the largest diversity of the living beings. They play a crucial rôle in all biological processes related to their huge metabolic potentialities and their capacity for adaptation to different ecological niches. The development of new genomic approaches allows a better knowledge of the microbial communities involved in complex environments functioning. In this context, DNA microarrays represent high-throughput tools able to study the presence, or the expression levels of several thousands of genes, combining qualitative and quantitative aspects in only one experiment. However, the design and analysis of DNA microarrays, with their current high density formats as well as the huge amount of data to process, are complex but crucial steps. To improve the quality and performance of these two steps, we have proposed new bioinformatics approaches for the design and analysis of DNA microarrays in parallel and distributed environments. These multipurpose approaches use high performance computing (HPC) and new software engineering approaches, especially model driven engineering (MDE), to overcome the current limitations. We have first developed PhylGrid 2.0, a new distributed approach for the selection of explorative probes for phylogenetic DNA microarrays at large scale using computing grids. This software was used to build PhylOPDb: a comprehensive 16S rRNA oligonucleotide probe database for prokaryotic identification. MetaExploArrays, which is a parallel software of oligonucleotide probe selection on different computing architectures (a PC, a multiprocessor, a cluster or a computing grid) using meta-programming and a model driven engineering approach, has been developed to improve flexibility in accordance to user’s informatics resources. Then, PhylInterpret, a new software for the analysis of hybridization results of DNA microarrays. PhylInterpret uses the concepts of propositional logic to determine the prokaryotic composition of metagenomic samples. Finally, a new parallelization method based on model driven engineering (MDE) has been proposed to compute a complete backtranslation of short peptides to select probes for functional microarrays
Hosseini, Rahilsadat. "Wastewater's total influent estimation and performance modeling: a data driven approach." Thesis, University of Iowa, 2011. https://ir.uiowa.edu/etd/2716.
Full textCadoret, Fabien. "Génération stratégique de code pour la maîtrise des performances de systèmes temps-réel embarqués." Thesis, Paris, ENST, 2014. http://www.theses.fr/2014ENST0024/document.
Full textWe focused on real-time embedded critical systems (RTECS) which present different problems: criticality, respect of time constraints and resources availability such as memory. In order to master design complexity of such systems, Model Driven Engineering (MDE) proposes to model it for analysis purposes and to generate, partially or totally, its execution code. However, these two phases must be correctly connected to ensure the generated code is always enforcing all the properties of the model initially analysed. In addition, the code generator must be adapted to several criteria: in particular to ensure respect of performances or to target different execution platforms which have their own execution constraints and semantics. To realize such an adaptation, the development process requires to evolve transformation rules according to these criteria. Its architecture needs also to allow the selection of the generated software components respecting these criteria.We answer such a problem by proposing a generation process based on the MDE. When the user specifies and validates a high-level model, a model transformation translates automatically this model into a detailed model close to the generated code. To ensure the conservation of the requirements, the detailed model is expressed in the same formalism as the initial model so that it remains analysable (by the same tools initially used). This approach determines the impact of the code generation strategy on the performances of the final system and allows the generator to adapt its strategy, in a given stage, to insure the respect of the system constraints. To facilitate the development and the selection of alternative strategies, we propose a methodology which articulates around a formalism for the orchestration of the transformations, a set of transformation patterns (which factorize and generalize the transformation rules) and an adaptation of software components according to their impact on the performances. We set up this process within the environment OSATE, for which we have developed the framework RAMSES (Refinement of AADL Models for Synthesis of Embedded Systems). We have experimented it on the code generation of the communications between tasks for which several strategies of implementation were defined
de, Wet Nico. "Model Driven Communication Protocol Engineering and Simulation based Performance Analysis using UML 2.0." Thesis, 2005. http://pubs.cs.uct.ac.za/archive/00000199/.
Full textBen, Jbara Noah. "Risk management in supply chains : a simulation and model driven engineering approach." Thesis, 2018. http://www.theses.fr/2018GREAI003/document.
Full textControlling risks is an important issue for companies. Far from being only the prerogative of natural disasters, the disruptions of today's supply chains can sometimes be caused by minor events amplified by the flaws of increasingly complex industrial organizations, causing severe economic losses.Risk management in supply chains is a recent theme and the proposed solutions are not yet able to meet the needs of practitioners. One of the solutions to analyse risks is using simulation. But, despite its effectiveness to cover the complexity of the chain, it still presents a major weakness which is the difficulty of implementation.The aim of this thesis is to facilitate and to adapt the simulation for risk analysis of supply chains. Thus, we have developed a modeling framework for simulation which enables an easy construction of models of supply chain structure, behavior and if the associated risks. This is done through the proposition of a set of meta-models and libraries, defined on the basis of the SCOR reference model. In addition, we proposed a translation guide for the translation of the conceptual model of supply chains into a simulation model and enabling testing risk scenario. Additionaly, we developed a library of simulation modules.A case study was conducted and the results show the relevance of the proposed approach
PATARA, FULVIO. "Multi-level meta-modeling architectures applied to eHealth." Doctoral thesis, 2016. http://hdl.handle.net/2158/1041924.
Full textBooks on the topic "Model-driven performance engineering"
Jürgen, Kazmeier, Breu Ruth, Atkinson Colin, and SpringerLink (Online service), eds. Model Driven Engineering Languages and Systems: 15th International Conference, MODELS 2012, Innsbruck, Austria, September 30–October 5, 2012. Proceedings. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.
Find full textSchulte, Wolfram, Juergen Dingel, Isidro Ramos, Silvia Abrahao, and Emilio Insfran. Model-Driven Engineering Languages and Systems: 17th International Conference, MODELS 2014, Valencia, Spain, September 283- October 4, 2014. Proceedings. Springer London, Limited, 2014.
Find full textBreu, Ruth, Robert B. France, Colin Atkinson, and Jürgen Kazmeier. Model Driven Engineering Languages and Systems: 15th International Conference, MODELS 2012, Innsbruck, Austria, September 30 -- October 5, 2012, Proceedings. Springer, 2012.
Find full textBreu, Ruth, Robert B. France, and Jürgen Kazmeier. Model Driven Engineering Languages and Systems: 15th International Conference, MODELS 2012, Innsbruck, Austria, September 30 -- October 5, 2012, Proceedings. Springer, 2012.
Find full textBook chapters on the topic "Model-driven performance engineering"
Petriu, Dorina C., Mohammad Alhaj, and Rasha Tawhid. "Software Performance Modeling." In Formal Methods for Model-Driven Engineering, 219–62. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-30982-3_7.
Full textKapova, Lucia, and Ralf Reussner. "Application of Advanced Model-Driven Techniques in Performance Engineering." In Computer Performance Engineering, 17–36. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15784-4_2.
Full textCortellessa, Vittorio, Antinisca Di Marco, and Catia Trubiani. "Software Performance Antipatterns: Modeling and Analysis." In Formal Methods for Model-Driven Engineering, 290–335. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-30982-3_9.
Full textBošković, Marko, and Wilhelm Hasselbring. "Model Driven Performance Measurement and Assessment with MoDePeMART." In Model Driven Engineering Languages and Systems, 62–76. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04425-0_6.
Full textBertolino, Antonia, Alvise Bonivento, Guglielmo De Angelis, and Alberto Sangiovanni Vincentelli. "Modeling and Early Performance Estimation for Network Processor Applications." In Model Driven Engineering Languages and Systems, 753–67. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11880240_52.
Full textWolfe, Christopher, T. C. Nicholas Graham, and W. Greg Phillips. "An Incremental Algorithm for High-Performance Runtime Model Consistency." In Model Driven Engineering Languages and Systems, 357–71. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04425-0_27.
Full textPetriu, Dorina C. "Software Model-based Performance Analysis." In Model-Driven Engineering for Distributed Real-Time Systems, 139–66. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118558096.ch6.
Full textShen, Hui, and Dorina C. Petriu. "Performance Analysis of UML Models Using Aspect-Oriented Modeling Techniques." In Model Driven Engineering Languages and Systems, 156–70. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11557432_12.
Full textArcelli, Davide, Vittorio Cortellessa, and Davide Di Ruscio. "Applying Model Differences to Automate Performance-Driven Refactoring of Software Models." In Computer Performance Engineering, 312–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40725-3_24.
Full textThompson, Chris, Jules White, Brian Dougherty, and Douglas C. Schmidt. "Optimizing Mobile Application Performance with Model–Driven Engineering." In Software Technologies for Embedded and Ubiquitous Systems, 36–46. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-10265-3_4.
Full textConference papers on the topic "Model-driven performance engineering"
Redlich, David, Ulrich Winkler, Thomas Molka, and Wasif Gilani. "Model-driven engineering in practice." In ICPE'14: ACM/SPEC International Conference on Performance Engineering. New York, NY, USA: ACM, 2014. http://dx.doi.org/10.1145/2568088.2576797.
Full textFritzsche, Mathias, Hugo Bruneliere, Bert Vanhooff, Yolande Berbers, Frédéric Jouault, and Wasif Gilani. "Applying Megamodelling to Model Driven Performance Engineering." In 2009 16th Annual IEEE International Conference and Workshop on the Engineering of Computer Based Systems (ECBS). IEEE, 2009. http://dx.doi.org/10.1109/ecbs.2009.33.
Full textGroner, Raffaela. "User-Centered Performance Engineering of Model Transformations." In 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C). IEEE, 2019. http://dx.doi.org/10.1109/models-c.2019.00097.
Full textZeng, L., H. Lei, M. Dikun, H. Chang, K. Bhaskaran, and J. Frank. "Model-driven business performance management." In IEEE International Conference on e-Business Engineering (ICEBE'05). IEEE, 2005. http://dx.doi.org/10.1109/icebe.2005.89.
Full textGroner, Raffaela, Luis Beaucamp, Matthias Tichy, and Steffen Becker. "An exploratory study on performance engineering in model transformations." In MODELS '20: ACM/IEEE 23rd International Conference on Model Driven Engineering Languages and Systems. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3365438.3410950.
Full textStefanakos, Ioannis, Simos Gerasimou, and Radu Calinescu. "Software Performance Engineering with Performance Antipatterns and Code-level Probabilistic Analysis." In 2021 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C). IEEE, 2021. http://dx.doi.org/10.1109/models-c53483.2021.00045.
Full textBornebusch, Fritjof, Christoph Lüth, Robert Wille, and Rolf Drechsler. "Performance Aspects of Correctness-oriented Synthesis Flows." In 9th International Conference on Model-Driven Engineering and Software Development. SCITEPRESS - Science and Technology Publications, 2021. http://dx.doi.org/10.5220/0010235100760086.
Full textBecker, Matthias, Markus Luckey, and Steffen Becker. "Model-driven performance engineering of self-adaptive systems." In the 8th international ACM SIGSOFT conference. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2304696.2304716.
Full textArora, Sahil-Jai, Clara Ceccolini, and Markus Rabe. "Approach to Reference Models for Building Performance Simulation." In 10th International Conference on Model-Driven Engineering and Software Development. SCITEPRESS - Science and Technology Publications, 2022. http://dx.doi.org/10.5220/0010888800003119.
Full textAl-tekreeti, Mustafa, Kshirasagar Naik, Atef Abdrabou, Marzia Zaman, and Pradeep Srivastava. "Test Generation for Performance Evaluation of Mobile Multimedia Streaming Applications." In 6th International Conference on Model-Driven Engineering and Software Development. SCITEPRESS - Science and Technology Publications, 2018. http://dx.doi.org/10.5220/0006609302250236.
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