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检索条件"任意字段=22nd International Conference on Distributed Computing Systems"

共 2924 条记录，以下是11-20 订阅

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25th international conference on Internet computing and IoT, ICOMP 2024, and 22nd international conference on Embedded systems, Cyber-physical systems, and Applications, ESCS 2024, held as part of the World Congress in Computer Science, Computer Engineering and Applied computing, CSCE 2024

25th International Conference on Internet Computing and IoT,...

引用

25th international conference on Internet computing and IoT, ICOMP 2024, and 22nd international conference on Embedded systems, Cyber-physical systems, and Applications, ESCS 2024, held as part of the World Congress in Computer Science, Computer Engineering and Applied computing, CSCE 2024

ISBN: (纸本)9783031859229

The proceedings contain 33 papers. The special focus in this conference is on Internet computing and IoT. The topics include: Malware Detection in the IoT Home Network;IoT-Based Analysis of Environmental and Motion Data for Comfort and Energy Conservation in Optimizing HVAC systems;improving Critical Controls Using IoT and Computer Vision;A Data-Driven Driving Under the Influence (DUI) Detection, Notification and Prevention System Using Artificial Intelligence and Internet-Of-Things (IoT);understanding User Interactions with IoT Process Models: A Demographic Perspective;Advancing IoT Process Modeling: A Comparative Evaluation of BPMNE4IoT and Traditional BPMN on User-Friendliness, Effectiveness, and Workload;Threat Detection Using MLP for IoT Network;harnessing Social Robotics and the Internet of Things to Reduce the Risk of Older Adults Developing Hypothermia and Dehydration;re/Imagining Smart Home Automation Framework in the Era of 6G-Enabled Smart Cities;smart Roadway Monitoring: Pothole Detection and Mapping via Google Street View;Energy-Efficiency Modeling for AI Applications on Edge computing;optimizing Wireless Sensor Network Node Placement Using Bacterial Foraging Optimization;The Vital Role of Small and Marginal Farmer in Future of Our Climate: Democratization of Machine Learning, Artificial Intelligence, and Dairy Cow Necklace Sensors in Achieving the UN Climate Change Goals (COP21) and the Paris Agreement;autonomous Driving Prototype with Raspberry Pi by Using Image Processing Technology;towards Implementation of Privacy-Preserving Federated Learning Aggregation Using Multi-key Homomorphic Encryption;advancing Nursing Education Through Virtual Reality Training: A Revolutionary Approach to Ensuring Patient Safety;multiDrone Simulator An Open Source Multi-plataform Tool to Use in Tests of Optimized Flight of Group of Drones;Revolutionizing Multiplayer Gaming: A Deep Dive into VisionXO, a 3D Multiplayer Tic-Tac-Toe Game.

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22nd international conference on Software Engineering Research and Practice, SERP 2024, and 23rd international conference on e-Learning, e-Business, Enterprise Information systems, and e-Government, EEE 2024, held as part of the World Congress in Computer Science, Computer Engineering and Applied computing, CSCE 2024

22nd International Conference on Software Engineering Resear...

引用

22nd international conference on Software Engineering Research and Practice, SERP 2024, and 23rd international conference on e-Learning, e-Business, Enterprise Information systems, and e-Government, EEE 2024, held as part of the World Congress in Computer Science, Computer Engineering and Applied computing, CSCE 2024

ISBN: (纸本)9783031866432

The proceedings contain 21 papers. The special focus in this conference is on Software Engineering Research and Practice. The topics include: MetaPix: A Data-Centric AI Development Platform for Efficient Management and Utilization of Unstructured Computer Vision Data;A Novel Architecture That Examines Network Activity in a Docker-Based Multitenant to Verify Zero Trust Container Architecture (ZTCA) Compliance;VENUS: Designing a Validation Engine for User Stories;a Framework for Requirements Modeling of Safety Critical systems: A Continuous Glucose Monitoring System Case Study;plan-Based and Agile Companies: A Comparison of Project Management Approaches;Service Availability Ratio (SAR): An Availability Metric for Microservice;Development of a Desktop Agent System Using GPT;navigating Challenges in E-Participation: A Comprehensive Meta-Analysis;The Shifting Landscape of Cybersecurity: The Impact of Remote Work and COVID-19 on Data Breach Trends;Farmchain: Empowering Smallholder Farmers Through Blockchain and DAOs: Cryptournomic Approach;privacy Strategies for Police Personnel: Co-designing a Self-assessment Tool;cybersecurity Threats: An Analysis of the Rise and Impacts of State Sponsored Cyber Attacks;moore’s Law: What Comes Next?;use of Emerging Technologies in Africa;using Survey to Investigate the Integration of Artificial Intelligence in e-Learning;students Satisfaction with the Distance Education During Covid-19 Pandemic;Improving Student Success in Math Courses Using WeBWorK;fast Food Review Online;a systems Approach to Improving E-Learning Using Theory of Constraints.

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Architectural Elements of Decentralized Process Management systems 22nd

Architectural Elements of Decentralized Process Management S...

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22nd international conference on Service Oriented computing

作者： Grunert, Kai Shoferi, Janis Joderi Gold, Lucas Rieder, Wolf Kuepper, Axel Tech Univ Berlin Serv Ctr Networking Berlin Germany

ISBN: (纸本)9789819608041;9789819608058

In a decentralized Process Management System, several process engines cooperate to execute a single process instance by using direct Machine-to-Machine communication and local coordination of the process flow. In this paper, we analyze the software architecture elements of a decentralized Process Management System. We explain the involved components, connectors, data, and the relationships between them. We also describe the state transitions of decentralized processes during execution.

关键词： decentralized Process Management System distributed Process Engines distributed and Heterogeneous Workflow Enactment Service Business Process Management System Process Automation Process Execution System Process Engine

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Consensus in the Presence of Overlapping Faults and Total Omission 22nd

Consensus in the Presence of Overlapping Faults and Tota...

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22nd Theory of Cryptography conference, TCC 2024

作者： Loss, Julian Shi, Kecheng Stern, Gilad CISPA Helmholtz Center for Information Security Saarbrücken Germany Tel Aviv University Tel Aviv Israel Saarland University Saarbrücken Germany

ISBN: (纸本)9783031780103

Understanding the fault tolerance of Byzantine Agreement protocols is an important question in distributed computing. While the setting of Byzantine faults has been thoroughly explored in the literature, the (arguably more realistic) omission fault setting is far less studied. In this paper, we revisit the recent work of Loss and Stern who gave the first protocol in the mixed fault model tolerating t Byzantine faults, s send faults, and r receive faults, when 2t+r+s2, or a broadcast protocol for s+r=n and s>1 even without overlapping faults. © international Association for Cryptologic Research 2025.

关键词： distributed computer systems

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Not Best but Fair: Achieving a Fair Service Deployment Through Sky computing for Latency-Sensitive Applications 22nd

Not Best but Fair: Achieving a Fair Service Deployment Throu...

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22nd international conference on Service Oriented computing

作者： Shi, Weijia Zhao, Baokang Zhou, Huan Natl Univ Def Technol Changsha Peoples R China

ISBN: (纸本)9789819608072;9789819608089

Latency-sensitive applications, such as online gaming, require that the conditions of networks from the server to each client are almost the same to achieve fairness. Traditionally, the servers are always set fixedly in certain locations and only the nearby clients can connect, which is not fair to some far-away clients. To tackle the fairness issue, the emerging cloud computing or sky computing is a potential solution, where the server cannot be fixed anymore. Hence, we design LibraCloud, a novel server selection and allocation mechanism for latency-sensitive applications, using globally distributed cloud infrastructure. LibraCloud aims to select the fairest server rather than the best one. By defining a fairness indicator and dynamically utilizing multiple clouds, it overcomes the limitations of traditional fixed servers. To validate LibraCloud, we conduct experiments using 85 probes to simulate clients and 13 data centers for server selection. Assuming 20 distributed clients, 78.8% of the experimental cases show that LibraCloud selects the fairest server, significantly outperforming random selection or fixed three-server mechanisms.

关键词： Fair service deployment Sky computing Latency-sensitive applications Fairness

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Proceedings - international conference on distributed computing systems

Proceedings - International conference on distributed comput...

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22nd international conference on distributed systems

The proceedings contains 75 papers from the international conference on distributed computing systems. The topics discussed include: distributed real-time systems;peer-to-peer systems;agent based systems;virtual reconfigurations;resource-constrained devices;overlay networks;scalable routers;self-stabilizing protocols;mobile computing;pervasive computing;privacy preserving communications;ad hoc mobile computing networks and data broadcasting.

关键词： Client server computer systems

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distributed Denial of Service Attack Detection by Machine Learning Techniques 22

Distributed Denial of Service Attack Detection by Machine Le...

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22nd international Learning and Technology conference, L and T 2025

作者： Jewani, Varkha K. P.E., Ajmire M., Atique B., Sharma I.B., Dhaou S., Awadhesh Chaurasia Sant Gadge Baba Amravati University Amravati India Chitkara University Centre of Research Impact and Outcome Punjab Rajpura140401 India Dar Al-Hekma University Hekma School of Engineering Computing and Design Department of Computer Science Jeddah Saudi Arabia RTM Nagpur University Department of Computer Science Nagpur India

ISBN: (纸本)9798331532215

The exponential expansion of computer networks and the internet makes it clear that there is a chance of being attacked and harmed. In the meantime, one of the most crucial defensive measures against the more complex and frequent network attacks is the intrusion detection and prevention systems (IDSs and IPSs). Due to insufficient datasets, anomaly-based research in intrusion detection systems is plagued by imprecise deployment, analysis, and evaluation. The researchers analyzed a variety of datasets, including DARPA98, KDD99, ISC2012, and ADFA13, to assess how well their suggested intrusion detection and intrusion prevention techniques performed. There are several issues: lack of adequate attack coverage, unrepresentative payloads, and anonymised packet information, insufficient traffic volume and diversity, or a deficiency in feature set and metadata. This study is focused on CICIDS-2017 which is the recently updated IDS dataset that meets real-world requirements and is accessible publicly. In addition to benign network flows and distributed denial of service (DDoS) attacks, it contains seven common attack network flows as well. To provide the optimal combination of features for the identification of the attack category, it also assesses the efficacy of several machine learning (ML) algorithms and network traffic feature sets. Even though various ML techniques like Linear Regression, Random Forests, and Decision Tree can be used, and performed very well, Hybrid Algorithm is designed to get better analysis on dataset. © 2025 IEEE.

关键词： Network intrusion

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POSEIDON: Efficient Function Placement at the Edge Using Deep Reinforcement Learning 22nd

POSEIDON: Efficient Function Placement at the Edge Using Dee...

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22nd international conference on Service Oriented computing

作者： Jain, Prakhar Singhal, Prakhar Pandey, Divyansh Quatrocchi, Giovanni Vaidhyanathan, Karthik Int Inst Informat Technol Software Engn Res Ctr Hyderabad India Politecn Milan Dipartimento Elettron Informaz & Bioingn Milan Italy

ISBN: (纸本)9789819608041;9789819608058

Edge computing allows for reduced latency and operational costs compared to centralized cloud systems. In this context, serverless functions are emerging as a lightweight and effective paradigm for managing computational tasks on edge infrastructures. However, the placement of such functions in constrained edge nodes remains an open challenge. On one hand, it is key to minimize network delays and optimize resource consumption;on the other hand, decisions must be made in a timely manner due to the highly dynamic nature of edge environments. In this paper, we propose POSEIDON, a solution based on Deep Reinforcement Learning for the efficient placement of functions at the edge. POSEIDON leverages Proximal Policy Optimization (PPO) to place functions across a distributed network of nodes under highly dynamic workloads. A comprehensive empirical evaluation demonstrates that POSEIDON significantly reduces execution time, network delay, and resource consumption compared to state-of-the-art methods.

关键词： Edge computing Serverless Function Placement Deep Reinforcement Learning

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Federated Learning as a Service for Hierarchical Edge Networks with Heterogeneous Models 22nd

Federated Learning as a Service for Hierarchical Edge Networ...

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22nd international conference on Service Oriented computing

作者： Gao, Wentao Tavallaie, Omid Chen, Shuaijun Zomaya, Albert Univ Sydney Sch Comp Sci Sydney NSW Australia Univ Oxford Dept Engn Sci Oxford England

ISBN: (纸本)9789819608041;9789819608058

Federated learning (FL) is a distributed Machine Learning (ML) framework that is capable of training a new global model by aggregating clients' locally trained models without sharing users' original data. Federated learning as a service (FLaaS) offers a privacy-preserving approach for training machine learning models on devices with various computational resources. Most proposed FL-based methods train the same model in all client devices regardless of their computational resources. However, in practical Internet of Things (IoT) scenarios, IoT devices with limited computational resources may not be capable of training models that client devices with greater hardware performance hosted. Most of the existing FL frameworks that aim to solve the problem of aggregating heterogeneous models are designed for Independent and Identical distributed (IID) data, which may make it hard to reach the target algorithm performance when encountering non-IID scenarios. To address these problems in hierarchical networks, in this paper, we propose a heterogeneous aggregation framework for hierarchical edge systems called HAF-Edge. In our proposed framework, we introduce a communication-efficient model aggregation method designed for FL systems with two-level model aggregations running at the edge and cloud levels. This approach enhances the convergence rate of the global model by leveraging selective knowledge transfer during the aggregation of heterogeneous models. To the best of our knowledge, this work is pioneering in addressing the problem of aggregating heterogeneous models within hierarchical FL systems spanning IoT, edge, and cloud environments. We conducted extensive experiments to validate the performance of our proposed method. The evaluation results demonstrate that HAF-Edge significantly outperforms state-of-the-art methods.

关键词： Federated Learning as a Service (FLaaS) Model Heterogeneity Edge computing IoT Networks

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Enhancing Timeliness and Accuracy in Blood Transportation through Drone Technology in Saudi Arabia's Government Clinic 22

Enhancing Timeliness and Accuracy in Blood Transportation th...

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22nd international Learning and Technology conference, L and T 2025

作者： Alseraihi, Meaad Aljadani, Amjaad Alsahafi, Samar Alzein, Maryam Elhag, Salma King Abdulaziz University Faculty of Computing & Information Technology Jeddah Saudi Arabia

ISBN: (纸本)9798331532215

Timely blood sample transportation is crucial for healthcare, particularly in emergencies, in Saudi Arabia's government clinics, the current process involves daily noon collections by SPL logistics representatives, causing delays in testing and limited availability for urgent cases. Through consultations with a healthcare professional, we identified Key inefficiencies include restricted collection times, absence of onsite laboratories, and lengthy transportation, often exceeding an hour. This study applied business process re-engineering (BPR) to address these issues by integrating drone technology, using the Business Process Model and Notation (BPMN) framework, the current process (AS-IS) was analyzed, and a future model (TO-BE) incorporating drones was developed, simulations using Bizagi revealed a significant reduction in average process time from 3 hours and 20 minutes to 1 hour and 19 minutes, the findings highlight the potential of drones to revolutionize healthcare logistics, reducing delays and improving patient outcomes, future research proposes a hybrid approach, integrating drones with traditional logistics systems for enhanced efficiency and scalability. © 2025 IEEE.

关键词： Reengineering

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