Simulation Modelling Practice and Theory最新文献

CCCR: Combining CNP and RTT for congestion control in datacenter networks CCCR：结合CNP和RTT实现数据中心网络的拥塞控制

IF 3.5 2区计算机科学

Simulation Modelling Practice and Theory Pub Date : 2025-07-28 DOI: 10.1016/j.simpat.2025.103189

Haopeng Li , Dingyu Yan , Yaping Liu , Shuo Zhang

{"title":"CCCR: Combining CNP and RTT for congestion control in datacenter networks","authors":"Haopeng Li , Dingyu Yan , Yaping Liu , Shuo Zhang","doi":"10.1016/j.simpat.2025.103189","DOIUrl":"10.1016/j.simpat.2025.103189","url":null,"abstract":"<div><div>With the rapid development of cloud computing, AI, and big data, data center networks face challenges in achieving ultra-low latency, high bandwidth, and stability. Many data centers still rely on traditional switches, which lack programmable features for advanced congestion control algorithms. In this environment, existing algorithms like DCQCN and TIMELY face two major challenges: (1) a single congestion signal (such as ECN or RTT) struggles to accurately reflect network conditions, leading to delayed congestion detection; (2) heuristic rate control strategies are prone to causing network fluctuations and slow convergence, making it difficult to meet the demands of high-bandwidth links. To address these issues, we propose CCCR, a congestion control algorithm that combines ECN (via CNP) and RTT signals. CCCR enables rapid, accurate rate reduction using receiver-side feedback and employs a adaptive rate increase based on minimum, average, and target RTT. It also adjusts in-flight data using per-flow BDP estimation. Simulations show that compared to DCQCN, TIMELY, and Swift, CCCR reduces the average flow completion time by 11%, 20%, and 12% respectively in incast scenarios, with better fairness than HPCC, and achieves up to 82% reduction in tail flow completion time for medium flows and up to 74% for long flows. In large-scale simulations, CCCR achieves comparable performance to programmable switch-based HPCC algorithms.</div></div>","PeriodicalId":49518,"journal":{"name":"Simulation Modelling Practice and Theory","volume":"144 ","pages":"Article 103189"},"PeriodicalIF":3.5,"publicationDate":"2025-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144748872","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Preference-based D2D offloading in IoT-edge-cloud continuum 物联网边缘云连续体中基于偏好的D2D卸载

IF 3.5 2区计算机科学

Simulation Modelling Practice and Theory Pub Date : 2025-07-19 DOI: 10.1016/j.simpat.2025.103188

Haripriya Chaturvedi, Gaurav Baranwal

{"title":"Preference-based D2D offloading in IoT-edge-cloud continuum","authors":"Haripriya Chaturvedi, Gaurav Baranwal","doi":"10.1016/j.simpat.2025.103188","DOIUrl":"10.1016/j.simpat.2025.103188","url":null,"abstract":"<div><div>Computation tasks are offloaded to the edge server from the Internet of Things (IoT) and mobile devices due to their restricted computation capacity and battery life. However, the fixed capacity of edge servers makes serving multiple IoT and mobile devices challenging for edge servers. The collaborative architecture, i.e. Device-to-Device (D2D)-edge computing, plays a great role in solving this resource gap problem between the IoT and mobile devices and edge servers. The architecture allows the offloading from IoT and mobile devices with restricted resources to IoT and mobile devices with resource-rich resources instead of only edge servers. This collaborative architecture also provides solutions to other edge server-related problems like workload, congestion, bandwidth consumption, and energy consumption along with the utilization of idle resources of nearby IoT and mobile devices. This paper proposes a preference-based D2D offloading model in IoT-Edge-Cloud Continuum. The proposed business model introduces the concept of surcharges to increase the utilization of computing resources. Compared to state-of-the-art work, the model generates more social welfare, increases the number of allocations, and increases participants' utility. With the help of simulation work, we have shown that the work is effective and outperforms.</div></div>","PeriodicalId":49518,"journal":{"name":"Simulation Modelling Practice and Theory","volume":"144 ","pages":"Article 103188"},"PeriodicalIF":3.5,"publicationDate":"2025-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144724918","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Peridynamics simulation method and application of hydro-mechanical coupling in fractured rock masses under dynamic disturbance 动态扰动下裂隙岩体水-力耦合动力学模拟方法及应用

IF 3.5 2区计算机科学

Simulation Modelling Practice and Theory Pub Date : 2025-07-17 DOI: 10.1016/j.simpat.2025.103187

Daosheng Zhang , Zongqing Zhou , Liping Li , Chenglu Gao , Minghao Li , Panpan Gai , Xiaochu Chen

{"title":"Peridynamics simulation method and application of hydro-mechanical coupling in fractured rock masses under dynamic disturbance","authors":"Daosheng Zhang , Zongqing Zhou , Liping Li , Chenglu Gao , Minghao Li , Panpan Gai , Xiaochu Chen","doi":"10.1016/j.simpat.2025.103187","DOIUrl":"10.1016/j.simpat.2025.103187","url":null,"abstract":"<div><div>The hydro-mechanical coupling failure mechanism of fractured rock masses under dynamic disturbance remains a significant challenge in the field of rock mechanics. To address this, a peridynamics-based simulation method is developed to scientifically characterise the water pressure variations within water-bearing fractures subjected to dynamic disturbance and the associated rock mass damage. First, a governing equation for fracture seepage in the peridynamics framework is proposed. Building on this, a three-dimensional hydro-mechanical coupled peridynamics model for fractured rock masses is established, based on the principle of effective stress. Next, the response characteristics of fracture water pressure under dynamic disturbance (e.g., blasting impact) are analysed, and a mathematical expression describing the relationship between fracture deformation and water pressure variation is formulated. A three-dimensional peridynamics simulation method is then constructed to capture the coupled stress–seepage behaviour of fractured rock masses under dynamic loading. The evolution of water pressure and the dynamic propagation mechanisms of water-bearing fractures are subsequently investigated. The accuracy of the proposed method is validated through a series of numerical examples. Finally, the method is utilised to assess the stability of the surrounding rock during subsea tunnel construction using the drilling–blasting method. The influence of dynamic disturbance on tunnel stability is revealed, offering valuable insights for the safe construction of subsea tunnels.</div></div>","PeriodicalId":49518,"journal":{"name":"Simulation Modelling Practice and Theory","volume":"144 ","pages":"Article 103187"},"PeriodicalIF":3.5,"publicationDate":"2025-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144711638","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Mesoscopic deformation mechanisms and engineering applications of soil-rock mixtures: effects of varying stone content 土石混合体的细观变形机制和工程应用：不同石料含量的影响

IF 3.5 2区计算机科学

Simulation Modelling Practice and Theory Pub Date : 2025-07-17 DOI: 10.1016/j.simpat.2025.103186

Yucheng Wu , Jie Yang , Chunhui Ma , Li Ran , Lin Cheng

{"title":"Mesoscopic deformation mechanisms and engineering applications of soil-rock mixtures: effects of varying stone content","authors":"Yucheng Wu , Jie Yang , Chunhui Ma , Li Ran , Lin Cheng","doi":"10.1016/j.simpat.2025.103186","DOIUrl":"10.1016/j.simpat.2025.103186","url":null,"abstract":"<div><div>This study explores the meso-mechanical characteristics and structural evolution of soil-rock mixtures (SRM) under complex stress conditions using six triaxial test models with varying stone content. Experimental simulations revealed that stone content significantly affects peak stress. A three-dimensional mesoscale structural fabric was employed to analyze the spatial distribution of normal and tangential contact forces, while a two-dimensional fabric tensor analysis highlighted the dominant role of stone content in mesoscale mechanical behavior. Results showed that increasing stone content leads to higher normal and tangential contact forces. Further analysis revealed a strong correlation between rock crushing and overall deformation, with higher rock content enhancing the anti-slip capability of SRMs. To extend these findings, a discrete element model was developed to simulate the rolling construction process of the anti-seepage core wall in a dam. This model evaluated the effects of varying stone content on coordination number, settlement rate, and porosity, as well as the influence of gravel mixing strategies on dam deformation. This research provides insights into the meso-deformation mechanisms of SRMs and the role of stone content in dam construction, offering valuable guidance for improving the design and performance of soil-rock structures in engineering applications.</div></div>","PeriodicalId":49518,"journal":{"name":"Simulation Modelling Practice and Theory","volume":"144 ","pages":"Article 103186"},"PeriodicalIF":3.5,"publicationDate":"2025-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144679456","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Evaluating traffic and safety impacts of diverging diamond interchange replacing roundabouts: A microsimulation study 分道菱形立交取代环形交叉路口对交通和安全影响的微观模拟研究

IF 3.5 2区计算机科学

Simulation Modelling Practice and Theory Pub Date : 2025-07-17 DOI: 10.1016/j.simpat.2025.103179

Jingshuo Qiu , Léah Camarcat , Paraskevi Koliou , Yuxiang Feng , Nicolette Formosa , Georgios Zacharopoulos , Paraskevi Michalaki , Panagiotis Angeloudis , Mohammed Quddus

{"title":"Evaluating traffic and safety impacts of diverging diamond interchange replacing roundabouts: A microsimulation study","authors":"Jingshuo Qiu , Léah Camarcat , Paraskevi Koliou , Yuxiang Feng , Nicolette Formosa , Georgios Zacharopoulos , Paraskevi Michalaki , Panagiotis Angeloudis , Mohammed Quddus","doi":"10.1016/j.simpat.2025.103179","DOIUrl":"10.1016/j.simpat.2025.103179","url":null,"abstract":"<div><div>With increasing traffic volumes and worsening congestion, conventional interchanges are facing ever-growing challenges. These issues can potentially be mitigated by implementing suitable alternative designs, such as the Diverging Diamond Interchange (DDI). While simulation studies and real-world implementations have validated the DDI’s superiority over conventional interchanges, existing research primarily focuses on right-hand driving and has not considered roundabout layouts prevalent in the UK. This study employs the simulation of the UK Strategic Road Network (SRN) to address this gap. Four hypothetical scenarios are constructed, transitioning conventional junctions between J23 and J26 on the M1 Motorway of SRN to DDIs. By comparing a series of Key Performance Indicators (KPIs), the study quantitatively assesses the impact of DDI implementation on traffic flow, delay and safety. The simulation results reveal that replacing roundabouts to DDIs in a motorway corridor can lead to a 55% reduction in average delay and a 5.96% increase in average speed. However, upon evaluating traffic safety through the Surrogate Safety Assessment Model, a slight decline in the majority of safety performance measures is observed. This study provides evidence to support the adoption of DDIs in the UK, highlighting the trade-offs between improved traffic flow and potential safety concerns.</div></div>","PeriodicalId":49518,"journal":{"name":"Simulation Modelling Practice and Theory","volume":"144 ","pages":"Article 103179"},"PeriodicalIF":3.5,"publicationDate":"2025-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144702137","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Modeling the asymmetric thermo-mechanical behavior and failure of gray cast irons: An experimental–numerical study with separate Johnson–Cook parameters 模拟灰铸铁的不对称热力学行为和失效：具有单独Johnson-Cook参数的实验-数值研究

IF 3.5 2区计算机科学

Simulation Modelling Practice and Theory Pub Date : 2025-07-14 DOI: 10.1016/j.simpat.2025.103182

Burak Özcan , Umut Çalışkan , Murat Aydın , Onur Çavuşoğlu , Ulvi Şeker

{"title":"Modeling the asymmetric thermo-mechanical behavior and failure of gray cast irons: An experimental–numerical study with separate Johnson–Cook parameters","authors":"Burak Özcan , Umut Çalışkan , Murat Aydın , Onur Çavuşoğlu , Ulvi Şeker","doi":"10.1016/j.simpat.2025.103182","DOIUrl":"10.1016/j.simpat.2025.103182","url":null,"abstract":"<div><div>In this study, the asymmetric (different tensile and compressive behavior) thermo-mechanical behavior and damage of gray cast irons (EN-GJL-200, EN-GJL-250, EN-GJL-300), which are widely used in industrial applications, under different strain rates and temperatures were investigated by a combination of experimental and numerical methods. The mechanical response of the materials was characterized by quasi-static tensile and compression tests at room temperature and elevated temperatures up to 700 °C, Split Hopkinson Compression Bar (SHPB) tests for high strain rates (up to ∼3600 s<sup>−1</sup>) and tensile tests with specimens of different notch radii to analyze the damage behavior. Based on the experimental data obtained, the Johnson-Cook (JC) material (A, B, n, C, m) and damage (D1-D5) model parameters were calibrated separately for both loading cases in order to capture the apparent asymmetric behavior of gray cast irons under tensile and compression loading. These separate parameter sets were integrated into ANSYS Autodyn finite element software through FORTRAN-based user-defined subroutines and virtual tensile, compression and SHPB tests were performed. Comparing the numerical simulation results with the experimental data, it was observed that the developed asymmetric modeling approach, in particular, represents the thermo-mechanical behavior and damage of the material with high accuracy (deviations in the range of 2–8 % for maximum stress and elongation at break values). This study provides reliable and decoupled JC parameter sets for modeling the asymmetric thermo-mechanical behavior and damage of gray cast irons, allowing more realistic simulations to predict the performance of these materials in demanding engineering applications.</div></div>","PeriodicalId":49518,"journal":{"name":"Simulation Modelling Practice and Theory","volume":"144 ","pages":"Article 103182"},"PeriodicalIF":3.5,"publicationDate":"2025-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144654182","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An advanced 3D continuum finite element model for field-scale in-situ stress simulation of rock media 用于岩石介质现场地应力模拟的先进三维连续体有限元模型

IF 3.5 2区计算机科学

Simulation Modelling Practice and Theory Pub Date : 2025-07-14 DOI: 10.1016/j.simpat.2025.103183

Atefeh Dargahizarandi , Hossein Masoumi , Abolfazl Hashemi , Biswachetan Saha , Hamid Roshan

{"title":"An advanced 3D continuum finite element model for field-scale in-situ stress simulation of rock media","authors":"Atefeh Dargahizarandi , Hossein Masoumi , Abolfazl Hashemi , Biswachetan Saha , Hamid Roshan","doi":"10.1016/j.simpat.2025.103183","DOIUrl":"10.1016/j.simpat.2025.103183","url":null,"abstract":"<div><div>Accurate field-scale three-dimensional (<em>3D</em>) stress inversion using numerical simulation is crucial for obtaining in-situ stresses required for the safety and efficiency of underground minerals and energy resources extraction. However, existing commercial packages fall short in dealing with large-scale <em>3D</em> stress inversion simulations and handling complex geological models containing faults and fractures. This work lays the foundation for the development of an optimised continuum Finite Element (FE) code (3DiStress) to simulate the 3D stress state in elastic media, capable of handling complex geological models. Such a computational framework employs advanced algorithms and state-of-the-art techniques, including the implementation of fault modelling through the effective medium theory, efficient large-scale model handling via vectorisation and sparse matrix storage, Superconvergent Patch Recovery (<em>SPR</em>) to calculate the stresses precisely, and iterative boundary conditions adjustment using Genetic Algorithm (<em>GA</em>) for stress inversion. For large-scale simulations, an effective solver, renowned for its robust handling of large sparse systems (Pardiso), is implemented to solve the resultant system of equations with high efficiency in parallel on a workstation and supercomputers. Furthermore, an iterative boundary condition adjustment is performed using <em>GA</em>, to calibrate the model against on-site stress measurements, thereby optimising the stress distribution. The principal advantages of this computational tool include its capability to accurately simulate complex faulted elastic media, flexible boundary condition optimisation, and the ability to easily adapt and integrate various algorithms, making it an asset for advanced geomechanical engineering applications.</div></div>","PeriodicalId":49518,"journal":{"name":"Simulation Modelling Practice and Theory","volume":"144 ","pages":"Article 103183"},"PeriodicalIF":3.5,"publicationDate":"2025-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144654098","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Exploring the performance of real-time data imputation to enhance fault tolerance on the edge: A study on environmental data 基于边缘容错的实时数据输入性能研究——以环境数据为例

IF 3.5 2区计算机科学

Simulation Modelling Practice and Theory Pub Date : 2025-07-12 DOI: 10.1016/j.simpat.2025.103178

Dimitris Gkoulis, Anargyros Tsadimas, George Kousiouris, Cleopatra Bardaki, Mara Nikolaidou

{"title":"Exploring the performance of real-time data imputation to enhance fault tolerance on the edge: A study on environmental data","authors":"Dimitris Gkoulis, Anargyros Tsadimas, George Kousiouris, Cleopatra Bardaki, Mara Nikolaidou","doi":"10.1016/j.simpat.2025.103178","DOIUrl":"10.1016/j.simpat.2025.103178","url":null,"abstract":"<div><div>Real-time data streams from edge-based IoT sensors are frequently affected by transmission errors, sensor faults, and network disruptions, leading to missing or incomplete data. This paper investigates the application of lightweight, real-time imputation methods to enhance fault tolerance in edge computing systems. To this end, we propose to integrate a modular imputation engine on edge system supporting lightweight forecasting models selected for their computational efficiency and suitability to operate on real-time data streams. To assess the performance of different popular lightweight forecasting models for real-time applications, a simulation framework is introduced that simulates the operation of the imputation engine, replicates sensor failure scenarios and allows controlled testing on real-world systems. Imputation accuracy is evaluated using Mean Absolute Error (MAE), 95th percentile error, and maximum error, with results benchmarked against sensor tolerance thresholds. The simulation framework is used to explore imputation on environmental data based on observations collected from a weather station. The findings show that Holt–Winters Exponential Smoothing delivers the highest accuracy for real-time imputation across environmental variables, outperforming simpler models suited only for short-term gaps. Errors grow with longer forecasts, confirming imputation as a temporary solution. Evaluations against sensor-specific thresholds offer practical insights, and execution profiling proves these models are lightweight enough for deployment on low-power edge devices, enabling real-time, fault-tolerant monitoring without cloud dependence.</div></div>","PeriodicalId":49518,"journal":{"name":"Simulation Modelling Practice and Theory","volume":"144 ","pages":"Article 103178"},"PeriodicalIF":3.5,"publicationDate":"2025-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144614126","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

CoFANN: A collaborative framework for accelerating DNN inference in drone-based agricultural monitoring systems CoFANN：在基于无人机的农业监测系统中加速DNN推理的协作框架

IF 3.5 2区计算机科学

Simulation Modelling Practice and Theory Pub Date : 2025-07-11 DOI: 10.1016/j.simpat.2025.103176

Nhu-Y Tran-Van, Kim-Hung Le

{"title":"CoFANN: A collaborative framework for accelerating DNN inference in drone-based agricultural monitoring systems","authors":"Nhu-Y Tran-Van, Kim-Hung Le","doi":"10.1016/j.simpat.2025.103176","DOIUrl":"10.1016/j.simpat.2025.103176","url":null,"abstract":"<div><div>Plant leaf diseases pose a major threat to global agricultural productivity, causing substantial crop losses annually. While drone-based monitoring systems equipped with deep neural networks (DNNs) offer a promising solution for large-scale disease detection, their deployment is hindered by the computational limitations of IoT devices and the latency issues associated with cloud and edge computing. Existing collaborative inference approaches aim to mitigate end-to-end latency by offloading computation across devices. However, these methods often compromise model accuracy and add computing latency in generating inference strategies. To address these challenges, we present CoFANN, a novel collaborative framework to accelerate DNN inference in dynamic IoT environments. Our framework includes two key advances: a differentiable strategy search space with a gradient-based optimization algorithm for efficiently identify optimal partitioning strategies, and an adaptive model partitioning algorithm that effectively divides and allocates DNN components across computing devices based on their capabilities and network conditions. Experimental results in the plant disease dataset demonstrate that CoFANN reduces the total inference latency by up to 70% compared to device-only and 50% compared to edge-only approaches under varying network conditions, while maintaining comparable accuracy from 93.7% to 95.8%.</div></div>","PeriodicalId":49518,"journal":{"name":"Simulation Modelling Practice and Theory","volume":"144 ","pages":"Article 103176"},"PeriodicalIF":3.5,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144611623","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

GPU-accelerated cloud computing services and performance evaluation gpu加速云计算服务和性能评估

IF 3.5 2区计算机科学

Simulation Modelling Practice and Theory Pub Date : 2025-07-11 DOI: 10.1016/j.simpat.2025.103181

Zakery Collins, Gennaro De Luca, Yinong Chen

{"title":"GPU-accelerated cloud computing services and performance evaluation","authors":"Zakery Collins, Gennaro De Luca, Yinong Chen","doi":"10.1016/j.simpat.2025.103181","DOIUrl":"10.1016/j.simpat.2025.103181","url":null,"abstract":"<div><div>This paper explores the feasibility of replacing traditional CPU-based cloud computing with Graphic Processing Unit GPU-accelerated services. Using NVIDIA’s CUDA GPU-accelerated C/<em>C</em>++ and Python libraries, we benchmark the performance of GPU computing against multithreaded CPU computing across several domains, including machine learning and large-scale image processing. A novel contribution of this work is an intelligent autoscaling system that maximizes single-GPU resource utilization before scaling to additional GPUs, improving efficiency in cloud-based deployments. Our simulation experiments demonstrate significant performance gains for GPU-accelerated computing and highlight the impact of optimized resource allocation in cloud environments. For example, in a machine learning experiment, using a dataset with 8.790 entries, the execution of a GeForce 3060 ti GPU is 3.42 times faster than a 16-thread CPU computer. Compared with the same 16-thread CPU, Tesla K80 GPU is 4.17 times faster. Furthermore, we provide an analysis of GPU performance optimization strategies, including memory management, concurrency techniques, and workload distribution methodologies, offering insights into the long-term scalability and cost-effectiveness of GPU-accelerated cloud infrastructure.</div></div>","PeriodicalId":49518,"journal":{"name":"Simulation Modelling Practice and Theory","volume":"144 ","pages":"Article 103181"},"PeriodicalIF":3.5,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144654099","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0