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Model-based performance prediction for event-driven systems

Christoph Rathfelder, Samuel Kounev
2009 Proceedings of the Third ACM International Conference on Distributed Event-Based Systems - DEBS '09  
Most existing performance prediction techniques for systems using event-driven communication require specialized knowledge to build the necessary prediction models.  ...  In this paper, we propose an extension of the Palladio Component Model (PCM) that provides natural support for modeling event-based communication and supports different performance prediction techniques  ...  However, most existing performance prediction techniques for systems using event-driven communication require specialized knowledge to build the necessary prediction models (e.g., [1] ).  ... 
doi:10.1145/1619258.1619300 dblp:conf/debs/RathfelderK09 fatcat:qlo75u6q4fbarcaytnfha3mqam

Architectural Support for Model-Driven Performance Prediction of Distributed Real-Time Embedded Systems of Systems [chapter]

Vanea Chiprianov, Katrina Falkner, Claudia Szabo, Gavin Puddy
2014 Lecture Notes in Computer Science  
We adopt an Event Driven Architecture to support this modelling, as it allows for more realistic and flexible performance simulation, which enables more accurate performance prediction.  ...  In this paper, we define an approach to SoS performance prediction based on the modelling of system interactions and their impacts.  ...  The performance models of a system are integrated in our architecture using an event-driven approach. We base our architecture on the Event Driven Architecture (EDA) [9] .  ... 
doi:10.1007/978-3-319-09970-5_30 fatcat:dwpkkyd7xjgyrpk3wcbchm7agm

Palladio Workbench: A Quality-Prediction Tool for Component-Based Architectures

Christoph Rathfelder, Benjamin Klatt
2011 2011 Ninth Working IEEE/IFIP Conference on Software Architecture  
In this tool demo, we present the Palladio Workbench that permits the modeling of component-based software architectures and the prediction of its quality characteristics (e.g., response time and utilization  ...  Component-based architectures have been established to build more structured and manageable software systems.  ...  However, current performance modeling and prediction techniques for component-based systems, surveyed in [2] , do not support modeling systems using event-driven communication.  ... 
doi:10.1109/wicsa.2011.55 dblp:conf/wicsa/RathfelderK11 fatcat:acrabatpjzhd3a2trreslqlghi

Modeling event-driven service-oriented systems using the palladio component model

Christoph Rathfelder, Samuel Kounev
2009 Proceedings of the 1st international workshop on Quality of service-oriented software systems - QUASOSS '09  
Most existing performance prediction techniques for systems using event-based communication require specialized knowledge to build the necessary prediction models.  ...  Furthermore, general purpose design-oriented performance models for component-based systems provide limited support for modeling event-based communication.  ...  However, most existing performance prediction techniques for systems using event-based communication require specialized knowledge to build the necessary prediction models (e.g., [2, 8, 16] ).  ... 
doi:10.1145/1596473.1596482 fatcat:ul226vouibbzhniomyk6vo22ay

Predictive Modelling of Peer-to-Peer Event-Driven Communication in Component-Based Systems [chapter]

Christoph Rathfelder, David Evans, Samuel Kounev
2010 Lecture Notes in Computer Science  
In this paper, we present a case study of a real-life road traffic monitoring system that shows how event-driven communication can be modelled for performance prediction and capacity planning.  ...  Most general purpose performance meta-models for component-based systems provide limited support for modelling eventdriven communication.  ...  This increases the difficulty of modelling event-driven component-based architectures for performance prediction at system design and deployment time.  ... 
doi:10.1007/978-3-642-15784-4_15 fatcat:dekkxqg7xvfd3jwgpxvm33mrgq

Deep Learning with Long Short Term Memory Based Sequence-to-Sequence Model for Rainfall-Runoff Simulation

Heechan Han, Changhyun Choi, Jaewon Jung, Hung Soo Kim
2021 Water  
In addition, the model has the best predictive ability for runoff events, which means that it can be effective for developing short-term flood forecasting and warning systems.  ...  The model was evaluated in terms of event-based performance using the statistical metrics including root mean square error, Nash-Sutcliffe Efficiency, peak runoff error, and peak time error.  ...  For this, this study conducted event-based evaluation of the performance of three data-driven models.  ... 
doi:10.3390/w13040437 fatcat:6ejfnsfrbfccrlgkmkkv36qmvq

Model-driven development with predictable quality

James Ivers, Gabriel A. Moreno
2007 Companion to the 22nd ACM SIGPLAN conference on Object oriented programming systems and applications companion - OOPSLA '07  
The PACC Starter Kit is an eclipse-based development environment that combines a model-driven development approach with reasoning frameworks that apply performance, safety, and security analyses.  ...  These analyses predict runtime behavior based on specifications of component behavior and are accompanied by some measure of confidence.  ...  The performance RF predicts latency in soft and hard real-time systems.  ... 
doi:10.1145/1297846.1297933 dblp:conf/oopsla/IversM07 fatcat:4zidf2idhffnzc2bcchcmboxlu

Aircraft on-condition reliability assessment based on data-intensive analytics

Marcia L. Baptista, Ivo P. de Medeiros, Joao P. Malere, Cairo L. Nascimento, Helmut Prendinger, Elsa Henriques
2017 2017 IEEE Aerospace Conference  
This paper proposes a comparison of a set of data-driven modeling techniques to perform prognostics on a critical component of the jet engine bleed system. The novelty of our work is twofold.  ...  Several approaches have been studied in condition-based maintenance with the most promising being data-driven modeling.  ...  The lower the MdAE the more accurate the model performs its predictions. As shown, the support vector machines (svmLinear) yielded the best results for the different classes of models.  ... 
doi:10.1109/aero.2017.7943870 fatcat:gmwqu2g3tbb4zhnpeotpklikvm

Model-driven performance prediction of HLA-based distributed simulation systems

Daniele Gianni, Paolo Bocciarelli, Andrea D'Ambrogio
2012 Proceedings Title: Proceedings of the 2012 Winter Simulation Conference (WSC)  
In this paper, we aim to reduce this extra effort with the introduction of a model-driven method for the automated building of performance models whose evaluation provides a prediction about of the execution  ...  Performance models offer a convenient tool to assess design alternatives and predict the execution time of distributed simulation (DS) systems at design time, before system implementation.  ...  In this paper, we aim to achieve above mentioned objectives by introducing a model-driven method for the derivation of predictive DS system performance models from SysML models of the system to be simulated  ... 
doi:10.1109/wsc.2012.6465255 dblp:conf/wsc/GianniBD12 fatcat:s72x3lc2ivcobpe6psezb6etw4

Comparison of Decision Tree Based Rainfall Prediction Model with Data Driven Model Considering Climatic Variables

Ramsundram N, Sathya S, Karthikeyan S
2016 Irrigation & Drainage Systems Engineering  
The performance of the developed model is also compared with the well-known data-driven (Artificial Neural Network) based rainfall prediction model. [2, 3] .  ...  The developed framework utilizes the recovered knowledge for predicting the future rainfall events. ANN is a complex data driven model to represent non-linear input/output relationship.  ... 
doi:10.4172/2168-9768.1000175 fatcat:a4ouw5675je3hn6m7qiugk2qt4

Skill-based Mission Generation

Alexander Zook, Stephen Lee-Urban, Michael R. Drinkwater, Mark O. Riedl
2012 Proceedings of the The third workshop on Procedural Content Generation in Games - PCG'12  
We argue for the need for predictive, data-driven player models that meet the requirements of: (1) predictive power, (2) accounting for temporal changes in player abilities, (3) accuracy in the face of  ...  We present a tensor factorization approach to modeling and predicting player performance on skill-based tasks that meets the above requirements and a combinatorial optimization approach to mission generation  ...  We propose a tensor factorization approach based on collaborative filtering as a data-driven means of modeling and predicting player performance on skill-based events such as computer game combat.  ... 
doi:10.1145/2538528.2538534 dblp:conf/fdg/ZookLDR12 fatcat:y7wnsnscu5fazh5zlbwyqe47gm

Integration of event-based communication in the palladio software quality prediction framework

Benjamin Klatt, Christoph Rathfelder, Samuel Kounev
2011 Proceedings of the joint ACM SIGSOFT conference -- QoSA and ACM SIGSOFT symposium -- ISARCS on Quality of software architectures -- QoSA and architecting critical systems -- ISARCS - QoSA-ISARCS '11  
In this paper, we present an extension of the Palladio Component Model (PCM) and the Palladio software quality prediction framework, enabling the modeling of event-based communication in component-based  ...  However, the loose coupling of components makes it challenging to model such architectures in order to predict their quality properties, e.g., performance and reliability, at system design time.  ...  This increases the difficulty of modeling event-driven component-based systems for quality prediction at system design and deployment time.  ... 
doi:10.1145/2000259.2000268 dblp:conf/qosa/KlattRK11 fatcat:whnnilad5bfzvibrmftys6ippu

Practical online failure prediction for Blue Gene/P: Period-based vs event-driven

Li Yu, Ziming Zheng, Zhiling Lan, Susan Coghlan
2011 2011 IEEE/IFIP 41st International Conference on Dependable Systems and Networks Workshops (DSN-W)  
To answer these questions, we analyze and compare period-based and event-driven prediction approaches via a Bayesian prediction model.  ...  While many techniques have been presented for online failure prediction, questions arise regarding two commonly used approaches: period-based and event-driven. Which one has better accuracy?  ...  Main Contributions Both event-driven and period based approaches have great potential for fault management in large-scale systems.  ... 
doi:10.1109/dsnw.2011.5958823 dblp:conf/dsn/YuZLC11 fatcat:ukmjwivfungqnaf4er6qoi4m6m

SOPHIA: An Event-Based IoT and Machine Learning Architecture for Predictive Maintenance in Industry 4.0

Matteo Calabrese, Martin Cimmino, Francesca Fiume, Martina Manfrin, Luca Romeo, Silvia Ceccacci, Marina Paolanti, Giuseppe Toscano, Giovanni Ciandrini, Alberto Carrotta, Maura Mengoni, Emanuele Frontoni (+1 others)
2020 Information  
In this work, we use a data-driven approach based on machine learning applied to woodworking industrial machines for a major woodworking Italian corporation.  ...  Predicted failures probabilities are calculated through tree-based classification models (Gradient Boosting, Random Forest and Extreme Gradient Boosting) and calculated as the temporal evolution of event  ...  Acknowledgments: We are very thankful to Marco Siciliano, Donato Concilio, Paccapeli Giancarlo, Giarratana Gianluca, Corasaniti Angela and Trasciatti Nito for their support and useful discussions on SOPHIA  ... 
doi:10.3390/info11040202 fatcat:6ko3ze2msbfhnfwbd42jpo3bo4

PSINS: An Open Source Event Tracer and Execution Simulator

Mustafa M. Tikir, Michael A. Laurenzano, Laura Carrington, Allan Snavely
2009 2009 DoD High Performance Computing Modernization Program Users Group Conference  
We introduce an efficient, accurate and flexible trace-driven performance modeling and prediction tool, PMaC's Open Source Interconnect and Network Simulator (PSINS), for MPI applications.  ...  PSINS generates compact and tractable event traces for fast and efficient simulations while producing accurate performance predictions.  ...  Simulator for Performance Prediction PSINS Simulator takes the communication event trace for an application and a set of modeling parameters for the target system and then replays the event trace for the  ... 
doi:10.1109/hpcmp-ugc.2009.73 fatcat:2biyrqooynhc3ev7ct73vtfkru
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