26 papers · ranked by Valyu relevance
Kaveh Shahedi, Heng Li, Maxime Lamothe, Foutse Khomh
Software performance modeling plays a crucial role in developing and maintaining software systems. A performance model analytically describes the relationship between the performance of a system and its runtime activities. This process typically examines various aspects of a system's runtime behavior, such as the…
Matteo Camilli, Barbara Russo
Context The microservices architectural style is gaining momentum in the IT industry. This style does not guarantee that a target system can continuously meet acceptable performance levels. The ability to study the violations of performance requirements and eventually predict them would help practitioners to tune…
Lingda Li, Thomas R. Flynn, Adolfy Hoisie
—Performance modeling is an essential tool in many areas, including performance characterization/optimization, design space exploration, and resource allocation problems, to name a few. However, existing performance modeling approaches have limitations, such as high computational cost for discreteevent simulators…
Xinlong Zhao, Jiande Sun, Jia Zhang, Sujuan Hou + 3 more
Predictor Authors: ['Xinlong Zhao' 'Jiande Sun' 'Jia Zhang' 'Sujuan Hou' 'Shuai Li' 'Tong Liu' 'Peng Liu'] Predicting the performance of deep learning (DL) models, such as execution time and resource utilization, is crucial for Neural Architecture Search (NAS), DL cluster schedulers, and other technologies that advance…
ZiChuan He, Hui Zhong, XiaoHua Shi, ChangHai Zhao + 2 more
Deep neural networks (DNNs) are computationally intensive and optimized in different ways. Some compiler optimizations for DNNs could achieve performance almost the same as, or even better than, manual optimizations. However, the former mechanisms usually require an unbearably long optimization time in the tuning…
Nuoa Lei, Arman Shehabi, Jun Lu, Zhi Cao + 3 more
'Sarah Smith' 'Eric Masanet'] In the rapidly evolving digital era, comprehending the intricate dynamics influencing server power consumption, efficiency, and performance is crucial for sustainable data center operations. However, existing models lack the ability to provide a detailed and reliable understanding of these…
Lizhi Liao, Simon Eismann, Heng Li, Cor‐Paul Bezemer + 3 more
Data and Architectural Models Authors: ['Lizhi Liao' 'Simon Eismann' 'Heng Li' 'Cor‐Paul Bezemer' 'Diego Elias Costa' 'André van Hoorn' 'Weiyi Shang'] Abstract—During software development, developers often make numerous modifications to the software to address existing issues or implement new features. However, certain…
Dimitrios - Georgios Kontopoulos, Arnaud Sentis, Martin Daufresne, Anthony I. Dell + 1 more
In ectotherms, the performance of physiological, ecological, and life-history traits universally increases with temperature to a maximum before decreasing again. Identifying the most appropriate thermal performance model for a specific trait type has broad applications, from metabolic modelling at the cellular level to…
Fuzhan Rahmanian, Robert M. Lee, Dominik Linzner, Kathrin Michel + 4 more
Predicting and monitoring battery life early and across chemistries is a significant challenge due to the plethora of degradation paths, form factors, and electrochemical testing protocols. Existing models typically translate poorly across different electrode, electrolyte, and additive materials, mostly require a fixed…
Zhe Wang, Zhen Wang, Jiadong Wu, Weilong Xiao + 6 more
Status Authors: ['Zhe Wang' 'Zhen Wang' 'Jiadong Wu' 'Weilong Xiao' 'Yiming Chen' 'Zhenyu Feng' 'Dinghua Yang' 'Linjing Li' 'Bo Liang' 'J Fu'] In order to accurately identify the performance status of mobile devices and finely adjust the user experience, a real-time performance perception evaluation method based on…
Ge Wang, Di Li, Shiyong Wang, Minghao Cheng + 3 more
'Renshun Liu' 'Christian Haubelt'] Recent technological advancements and the evolution of industrial manufacturing paradigms have substantially increased the complexity of product-specific production systems. To reduce the time cost of modelling and verification and to enhance the degree of uniformity in the modelling…
Joel Martínez-Salazar, Filiberto Toledano-Toledano, Vesna Zadnik
Simple Summary Statistical predictive models using one of the most important strategies, known as results-based management (RBM), are relevant for improving the quality of medical services and could be used with cancer data statistics to monitor and evaluate children with cancer. We provided a comparative analysis of…
Stanisław Gajda, Marcin Chlebus, Aris Leivadeas, Vasileios Karyotis + 1 more
'Dimitrios Dechouniotis'] Performance measures are crucial in selecting the best machine learning model for a given problem. Estimating classical model performance measures by subsampling methods like bagging or cross-validation has several weaknesses. The most important ones are the inability to test the significance…
Helle W. van den Maagdenberg, Martin Šícho, David Alencar Araripe, Sohvi Luukkonen + 9 more
Building reliable and robust quantitative structure-property relationship (QSPR) models is a challenging task. First, the experimental data needs to be obtained, analyzed and curated. Second, the number of available methods is continuously growing and evaluating different algorithms and methodologies can be arduous.…
Authors not listed
In molecular machine learning, the choice of the representation of molecules can have a significant impact on model performance. However, understanding the root causes of these performance differences often proves challenging. One promising approach to explore model behavior is representational alignment, which…
Jonah Drake, Axel Finke, Richard Ferguson
The power–duration relationship describes the time to exhaustion for exercise at different intensities. It is generally believed to be a “fundamental bioenergetic property of living systems” that this relationship is hyperbolic. Indeed, the hyperbolic (a.k.a. critical-power) model which formalises this belief is viewed…
Patrick Mayerhofer, Ivan Bajić, J. Maxwell Donelan
Models of physical phenomena can be developed using two distinct approaches: using expert knowledge of the underlying physical principles, or using experimental data to train a neural network. Here, our aim was to better understand the advantages and disadvantages of these two approaches. We chose to model cycling…
Authors not listed
Accurate prediction of battery behavior under different dynamic operating conditions is critical for both fundamental research and practical applications. However, the diversity of emerging materials and cell architectures presents significant challenges to the generalizability of conventional prognostic approaches.…
Kate E. Dray, Joseph J. Muldoon, Niall M. Mangan, Neda Bagheri + 1 more
Mathematical modeling is invaluable for advancing understanding and design of synthetic biological systems. However, the model development process is complicated and often unintuitive, requiring iteration on various computational tasks and comparisons with experimental data. Ad hoc model development can pose a barrier…
Etienne-Victor Depasquale, Franco Davoli, Humaira Rajput, Josip Lorincz
'Josip Lorincz'] This article is a graphical, analytical survey of the literature, over the period 2010-2020, on the measurement of power consumption and relevant power models of virtual entities as they apply to the telco cloud. We present a novel review method, that summarizes the dynamics as well as the results of…
Dilan Pathirana, Frank T. Bergmann, Domagoj Doresic, Polina Lakrisenko + 8 more
A central question in mathematical modeling of biological systems is determining which processes are most relevant and how they can be described. There are often competing hypotheses, which yield different models. Model comparison requires parameter optimization and sampling methods. Yet, standards for the…
Pengzhou Chen, Jingzhi Gong, Tao Chen
—To ease the expensive measurements during configuration tuning, it is natural to build a surrogate model as the replacement of the system, and thereby the configuration performance can be cheaply evaluated. Yet, a stereotype therein is that the higher the model accuracy, the better the tuning result would be, or vice…
Authors not listed
Range anxiety remains a major concern for electric vehicle (EV) drivers due to unpredictable charge usage influenced by terrain and user behavior variations. To address this issue, we propose a data-driven approach to provide accurate trip-specific battery consumption for EV drivers. First, we present a new…
Conrad Hübler
A novel application to determine stability constants from supramolecular titration experiments is presented. The focus lies on NMR titration and ITC experiments for pure 1:1 systems, as well as mixed 2:1/1:1, 1:1/1:2 and 2:1/1:1/1:2 systems. SupraFit provides global and local fitting and a global search tool.…
Jean-Louis Palgen, Angélique Perrillat-Mercerot, Nicoletta Ceres, Emmanuel Peyronnet + 6 more
Mechanistic models are built using knowledge as the primary information source, with well-established biological and physical laws determining the causal relationships within the model. Once the causal structure of the model is determined, parameters must be defined in order to accurately reproduce relevant data.…
Tomoki Ohkubo, Yuichi Sakumura, Katsuyuki Kunida
Fed-batch culture enables high productivity by maintaining low substrate concentrations in the early stage of the culture to suppress the accumulation of by-products that are harmful to cell growth. Therefore, they are widely used in the production of biopharmaceuticals by mammalian cells. However, there exists a…