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检索条件"任意字段=11th International Conference on Distributed Computing and Networking"

共 2754 条记录，以下是11-20 订阅

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Deep Surrogate Models of Serverless Batch Processing Services 11th

Deep Surrogate Models of Serverless Batch Processing Service...

引用

11th IFIP WG 6.12 European conference on Service-Oriented and Cloud computing, ESOCC 2025

作者： Gao, Yicheng Sala, Roberto Ardagna, Danilo Casale, Giuliano Department of Computing Imperial College London London United Kingdom DEIB Politecnico di Milano Milan Italy

ISBN: (纸本)9783031846168

Serverless computing breaks down applications into workflows of stateless functions, where the output of each function serves as the input for the next. When these workflows are distributed across multiple processing nodes, managing the interactions between nodes is crucial to maintaining overall system performance. However, existing analytical performance models do not cope well with the dependencies involved in distributed workflows when the offloaded jobs arrive in batches. In this paper, we study the problem for two processing resources in tandem and develop a scalable surrogate modeling approach based on neural networks that can be used for serverless resource management purposes. We validate our performance model with both synthetic and real-world AI application traces, demonstrating that our surrogate model achieves a mean average percentage error of about 5%. © IFIP international Federation for Information Processing 2025.

关键词： Stochastic systems

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Nonlinear Coupled PDE-ODE Model of a distributed Cuk Converter 11

Nonlinear Coupled PDE-ODE Model of a Distributed Cuk Convert...

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11th Vienna international conference on Mathematical Modelling, MAthMOD 2025

作者： Röbenack, Klaus Gerbet, Daniel Institute of Control Theory TUD Dresden University of Technology Dresden01062 Germany

the Cuk converter is a particularly interesting converter, as it can be used to generate voltages which could be above or below the supply voltage. the chokes take up the most space when setting up such a converter. In this article, the chokes are replaced by transmission lines. this approach leads to a new converter topology and other mathematical models. the new distributed converter model can later on be discretized for a physical implementation to replace the two large inductances with numerous smaller inductances as suggested by Sander (2012). Copyright © 2025 the Authors.

关键词： Cuk converter

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User-based I/O Profiling for Leadership Scale HPC Workloads 25

User-based I/O Profiling for Leadership Scale HPC Workloads

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26th international conference on distributed computing and networking, ICDCN 2025

作者： Yazdani, Ahmad Hossein Paul, Arnab K. Karimi, Ahmad Maroof Wang, Feiyi Butt, Ali Virginia Tech BlacksburgVA United States BITS Pilani KK Birla Goa India Oak Ridge National Laboratory Oak RidgeTN United States

ISBN: (纸本)9798400710629

I/O constitutes a significant portion of most of the application run-time. Spawning many such applications concurrently on an HPC system leads to severe I/O contention. thus, understanding and subsequently reducing I/O contention induced by such multi-tenancy is critical for the efficient and reliable performance of the HPC system. In this study, we demonstrate that an application's performance is influenced by the command line arguments passed to the job submission. We model an application's I/O behavior based on two factors: past I/O behavior within a time window and user-configured I/O settings via command-line arguments. We conclude that I/O patterns for well-known HPC applications like E3SM and LAMMP are predictable, with an average uncertainty below 0.25 (A probability of 80%) and near zero (A probability of 100%) within a day. However, I/O pattern variance increases as the study time window lengthens. Additionally, we show that for 38 users and at least 50 applications constituting approximately 93000 job submissions, there is a high correlation between a submitted command line and the past command lines made within 1 to 10 days submitted by the user. We claim the length of this time window is unique per user. © 2025 Copyright held by the owner/author(s).

关键词： High Performance computing

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Identification of Vibration Superimposed Motion of a System with distributed Parameters 11

Identification of Vibration Superimposed Motion of a System ...

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11th Vienna international conference on Mathematical Modelling, MAthMOD 2025

作者： Heining, A. Sawodny, O. Institute for System Dynamics Stuttgart70563 Germany

A precise model with low order for controller design is indispensable for the high performance control of thin flexible structures. Such systems require a high model quality ranging from slow, low frequency dynamics (rigid body) to fast, high frequency dynamics (vibration) for an accurate prediction of the superposed motion. the considered system in this contribution comprises low frequent pendulum dynamics and a dense natural frequency spectrum of a plate. In order to obtain a precises non-square multiple-intput multiple-output model description, an iterative identification procedure applying time and frequency methods is proposed. Additionally, an optimization based model order reduction considering a modal system description is introduced. the precise fit of the reduced order model to the collected data underpins the proposed procedure. Copyright © 2025 the Authors.

关键词： Continuous time systems

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Collaborative computing: networking, Applications, and Worksharing: 11th international conference, CollaborateCom 2015, Wuhan, November 10-11, 2015, China. Proceedings 1

引用

丛书名： Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 163

2016年

作者： Song Guo, Xiaofei Liao, Fangming Liu, Yanmin Zhu (eds.)

ISBN: (数字)9783319289106

ISBN: (纸本)9783319289090;9783319289106

this book constitutes the thoroughly refereed proceedings of the 11th international conference on Collaborative computing: networking, Applications, and Worksharing, CollaborateCom 2015, held in Wuhan, China, in November 2015. the 24 full papers and 8 short papers presented were carefully reviewed and selected from numerous submissions. they address topics around networking, technology and systems, including but not limited to collaborative cloud computing, architecture and evaluation, collaborative applications, sensors and Internet of things (IoT), security.

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BiLSTM Based on Indoor Localization by Using Smartphones and Wi-Fi with RSSI Values 11th

BiLSTM Based on Indoor Localization by Using Smartphones and...

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11th EAI international conference on Advancement of Science and Technology, ICAST 2023

作者： Demelash, Biruh Andualem Munaye, Yirga Yayeh Kebie, Belayneh Teshome ICT4D Research Center Faculty of Computing Bahir Dar Institute of Technology Bahir Dar University Bahir Dar Ethiopia College of Engineering and Technology Injibara University Injibara Ethiopia ICT4D Research Center Bahir Dar Institute of Technology Bahir Dar University Bahir Dar Ethiopia

ISBN: (纸本)9783031641503

Localization is a hot topic in networking industry and falls into two categories: indoor localization and outdoor localization. Indoor localization takes place inside a building or other structure, whereas outdoor localization takes place outside a wall or building. the most common example of outdoor localization is GPS, but it is ineffective for indoor localization due to obstructions like walls in a house. Although there are many studies on indoor localization, they still lack to consider the presence of human body and other obstructing factors causing drop of localization accuracy. therefore, this paper focuses on investigating indoor localization along with the presence of human body and a number of transmitters. this study concentrates on creating the best accurate model to predict the location of smartphones in the indoor environment. the dataset has been collected from the receiving signal strength using three different brands of smartphones, namely, Itel, Tecno, and Infinix, since there is a slight difference in terms of signal receiving capacity. then, we ran successive experiments with DT, KNN, and SVM in comparison with a recurrent algorithm (BiLSTM). From the experiments, we observed that BiLSTM outperformed DT, KNN, and SVM with prediction accuracy of 78%. From our experimental results, we concluded that BiLSTM is best suited for indoor localization. © the Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Smartphones

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Method for Filtering DDoS Attack Traffic through Routing Path within SDN Domain

Method for Filtering DDoS Attack Traffic through Routing Pat...

引用

IEEE international conference on Big Data Security on Cloud (BigDataSecurity), High Performance and Smart computing (HPSC) and Intelligent Data and Security (IDS)

作者： Meng Yue Mingzhi Yang Hanwen Xu Zhijun Wu College of Safety Science and Engineering Civil Aviation University of China Tianjin China

ISBN: (数字)9798331595104

ISBN: (纸本)9798331595111

Attacks that aim to disrupt services, known as distributed Denial of Service (DDoS), exploit protocol vulnerabilities and utilize legitimate traffic to target systems, thereby threatening the normal operation of the network. this paper proposes a method for filtering DDoS attack traffic along routing paths within the Software Defined networking (SDN) domain. the method, based on the SDN framework, employs a consistency hashing algorithm to select nodes in the global routing platform, forming secure access paths. By utilizing the accuracy of edge node detection and inter-domain cooperation, the attack is effectively mitigated along the path close to its origin, which is referred to as path filtering. the paper also provides a design for the filtering framework and details the filtering steps.

关键词： Filtering Image edge detection Collaboration Routing Denial-of-service attack Vectors Consensus protocol IP networks Computer crime Software defined networking

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2020 11th international conference on computing, Communication and networking Technologies, ICCCNT 2020

2020 11th International Conference on Computing, Communicati...

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11th international conference on computing, Communication and networking Technologies, ICCCNT 2020

ISBN: (纸本)9781728168517

the proceedings contain 422 papers. the topics discussed include: alert generation on detection of suspicious activity using transfer learning;an approach for Bengali automatic question answering system using attention mechanism;EduBlock: securing educational documents using blockchain technology;OPTICK - a low cost wearable head up display for search and rescue operations;benchmarking distributed stream processing frameworks for real time classical machine learning applications;road boundary detection using 3D-to-2D transformation of lidar data and conditional generative adversarial networks;a novel highly sensitive photonic crystal fiber sensor for detecting ph levels of acetic acid aqueous solution based on surface plasmon resonance;emergence of edge computing: an advancement over cloud and fog;QML based community detection in the realm of social network analysis;trust management in cyber physical system using blockchain;and a switching capacitor based buck-boost converter and its analysis.

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Quantum computing in Cybersecurity and LLM

Quantum Computing in Cybersecurity and LLM

引用

international conference on Web Research (ICWR)

作者： Fazel Mohammad Ali Pour Mohammad Hossein Arastoo Faculty of Technology and Engineering Behbahan Khatam-Alanbia University of Technology Khuzestan Iran Faculty of Technology and Engineering Azad University of Kashan Kashan Iran

ISBN: (数字)9798331508913

ISBN: (纸本)9798331508920

Quantum computing is fundamentally transforming the cybersecurity landscape by simultaneously introducing robust defense mechanisms and sophisticated attack vectors. this paper explores the dual nature of quantum computing in cybersecurity, examining how it enhances artificial intelligence-powered malware detection systems and strengthens encryption protocols, while also enabling the development of adaptive quantum-enhanced threats such as polymorphic malware and quantum key distribution attacks. Additionally, the paper analyzes the convergence of quantum computing with Large Language Models (LLMs) and neural networks, highlighting implications for threat intelligence across social media platforms, cybersecurity operations, and open-source intelligence. through comprehensive analysis and the proposition of quantum-resilient security frameworks, this research provides cybersecurity professionals with actionable strategies for navigating the emerging quantum computing era.

关键词： Quantum computing Protocols Social networking (online) Navigation Neural networks Vectors Encryption Quantum key distribution Ransomware Computer security

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SMPPO: A Shared Memory Scheduling Approach for Real-Time Heterogeneous Serverless Edge Environment

SMPPO: A Shared Memory Scheduling Approach for Real-Time Het...

引用

international conference on Web Research (ICWR)

作者： Armin Mohammadi Ghaleh K. N. Toosi University of Technology Tehran Iran

ISBN: (数字)9798331508913

ISBN: (纸本)9798331508920

Serverless edge computing is transforming distributed systems, especially for IoT, by merging serverless architecture with edge computing. this evolution demands efficient scheduling methods, as traditional approaches struggle with dynamic and heterogeneous environments. Deep Reinforcement Learning (DRL), particularly the Proximal Policy Optimization (PPO) algorithm, offers a promising alternative. Our proposed method, SMPPO, introduces a global trajectory memory where agents learn from both their own and others' experiences. Simulations show SMPPO consistently outperforms others, improving total performance by 15% and response time by 25%. this robust, scalable approach advances scheduling in serverless edge computing.

关键词： Processor scheduling Simulation Merging Dynamic scheduling Deep reinforcement learning Real-time systems Trajectory Time factors Optimization Edge computing

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