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检索条件"任意字段=Proceedings of the 22nd International Conference on Distributed Computing and Networking"

共 1646 条记录，以下是111-120 订阅

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22nd international conference on Innovations for Community Services, I4CS 2022

22nd International Conference on Innovations for Community S...

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22nd international conference on Innovations for Community Services, I4CS 2022

ISBN: (纸本)9783031066672

The proceedings contain 23 papers. The special focus in this conference is on Innovations for Community Services. The topics include: Challenges of Future Smart and Secure IoT networking;towards Simulating a Global Robust Model for Early Asthma Detection;brain-Inspired Approaches to Natural Language Processing and Explainable Artificial Intelligence;a Quantum Annealing Approach for Solving Hard Variants of the Stable Marriage Problem;a Quantum Approach for Tactical Capacity Management of distributed Electricity Generation;back to the Future of Work: Old Questions for New Technologies;solar Energy Harvesting for the Mobile Robotic Platform;demonstrating Feasibility of Blockchain-Driven Carbon Accounting – A Design Study and Demonstrator;a Platform for Offline Voice Assistants: Development of Assistant Applications Without Being Connected to Commercial Central Services;consensus Algorithms in Cryptocurrency and V2X-IoT: Preliminary Study;Realtime Risk Monitoring of SSH Brute Force Attacks;emergency Evacuation Software Simulation Process for Physical Changes;practical Method for Multidimensional Data Ranking: Application for Virtual Machine Migration;learning Based Hardware-Centric Quantum Circuit Generation;preface;foreword;distributed Quantum Machine Learning;understanding Human Mobility for Data-Driven Policy Making;secure Multi-party Computation and Its Applications;context Information Management in a Microservice Based Measurement and Processing Infrastructure;a Web Architecture for E-Health Applications Supporting the Efficient Multipath Transport of Medical Images;research on Detecting Similarity in Trajectory Data and Possible Use Cases.

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ICDCN 2021 - Adjunct proceedings of the 2021 international conference on distributed computing and networking

ICDCN 2021 - Adjunct Proceedings of the 2021 International C...

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22nd international conference on distributed computing and networking, ICDCN 2021

ISBN: (纸本)9781450381840

The proceedings contain 29 papers. The topics discussed include: macroscopic traffic stream variables prediction with weather impact using hybrid CNN-LSTM model;VDA: deep learning based visual data analysis in integrated edge to cloud computing environment;online delivery of social media posts to appropriate first responders for disaster response;an IoT based disaster response solution for ocean environment;an ensemble model for intrusion detection in the internet of softwarized things;P2IDF: a privacy-preserving based intrusion detection framework for software defined Internet of things-fog (SDIoT-Fog);a deep Q-learning sanitization approach for privacy preserving data mining;and realization of a techno-economic controller deployment architecture for vSDN enabled 5G networks.

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DT-PBFT: A Double-Layer Group Consensus Algorithm of Credibility for IoT Blockchain 2

DT-PBFT: A Double-Layer Group Consensus Algorithm of Credibi...

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2nd international conference on Big Data, Information and Computer Network, BDICN 2023

作者： Chen, Yaxin Jia, Yongpu Beijing University of Posts and Telecommunications State Key Laboratory of Networking and Switching Technology Beijing China

ISBN: (纸本)9798350321364

Blockchain technology is becoming more and more popular, but performance problems have always troubled it, especially the scale of distributed networks is limited. Like Practical Byzantine consensus algorithm (PBFT), the main bottlenecks are concentrated in the scope of consensus too small, and the communication is too high. In order to implement PBFT in large-scale systems such as large-scale IoT ecosystems and blockchains, this paper proposes a reputation-based two-layer improved PBFT consensus computing model DT-PBFT. In order to better combine with the large -scale Internet of Things ecosystem, we give each node regional location, communication capacity, computing power and other related attributes to each involvement, so that Client nodes can input node attributes as parameters into the reputation calculation algorithm, to select the master node of each layer in the double-layer consensus model. Determining the master node through reputation improves the credibility of the consensus algorithm. At the same time, the DTPBFT cancels the Pre-Prepare stage, reducing communication complexity. Finally, this paper transforms the existing PBFT algorithm on the Fabric platform to implement the DT-PBFT consensus algorithm and compares its performance with traditional PBFT, proving that DT-PBFT has the best balance and excellent comprehensive performance in large-scale IoT application scenarios. © 2023 IEEE.

关键词： Blockchain

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Arbitrary Pattern Formation on Infinite Regular Tessellation Graphs 21

Arbitrary Pattern Formation on Infinite Regular Tessellation...

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22nd international conference on distributed computing and networking (ICDCN)

作者： Cicerone, Serafino Di Fonso, Alessia Di Stefano, Gabriele Navarra, Alfredo Univ Aquila Dip Ingn & Sci Informaz & Matemat Laquila Italy Univ Perugia Dip Matemat & Informat Perugia Italy

ISBN: (纸本)9781450389334

Given a set R of robots, each one located at a different vertex of an infinite regular tessellation graph, we aim to explore the Arbitrary Pattern Formation (APF) problem. Given a multiset F of grid vertices such that vertical bar R vertical bar = vertical bar F vertical bar, APF asks for a distributed algorithm that moves robots so as to reach a configuration similar to F. Similarity means that robots must be disposed as F regardless of translations, rotations, reflections. So far, as possible discretization of the Euclidean plane only the standard square grid has been considered in the context of the classical Look-Compute-Move model. However, it is natural to consider the other regular tessellation graphs, that are triangular and hexagonal grids. For any regular tessellation graph, we provide a resolution algorithm for APF when the initial configuration is asymmetric.

关键词： distributed algorithms Mobile and collaborative systems Asynchrony Self-organization Pattern formation Graphs

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An Energy Consumption Minimization Optimization Scheme for HAP-Satellites Edge computing 22

An Energy Consumption Minimization Optimization Scheme for H...

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22nd IEEE international conference on Communication Technology, ICCT 2022

作者： Mei, Chengli Gao, Cheng Xing, Yanxia Bian, Xilin Hu, Bo Chinatelecom Research Institute Beijing China Beijing University of Posts and Telecommunications State Key Laboratory of Networking and Switching Technology Beijing China

ISBN: (纸本)9781665470674

Low-earth orbit (LEO) satellites can provide computing services for ground users by carrying mobile edge computing servers. However, due to the high altitude of LEO satellites, ground users need to consume a lot of energy to communicate with them. So we leverage the high altitude platform (HAP) to cooperate with LEO satellites, called HAP-Satellites edge computing, and jointly provide computing services for ground users. An optimization problem is formulated to minimize the sum weighted energy consumption of all devices for HAP-Satellites edge computing. This is a mixed integer non-linear programming problem that is difficult to solve. So, we propose an intelligent heuristic algorithm to optimize task offloading and resource allocation. Simulation results demonstrate that the proposed scheme outperforms the other benchmark schemes in terms of weighted sum energy consumption. © 2022 IEEE.

关键词： Resource allocation

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distributed Quantum Annealing on D-Wave for the Single Machine Total Weighted Tardiness Scheduling Problem 22nd

Distributed Quantum Annealing on D-Wave for the Single Machi...

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22nd Annual international conference on Computational Science (ICCS)

作者： Bozejko, Wojciech Pempera, Jaroslaw Uchronski, Mariusz Wodecki, Mieczyslaw Wroclaw Univ Sci & Technol Dept Control Syst & Mechatron Janiszewskiego 11-17 PL-50372 Wroclaw Poland Wroclaw Ctr Networking & Supercomp Wybrzeze Wyspianskiego 27 PL-50370 Wroclaw Poland Wroclaw Univ Sci & Technol Dept Telecommun & Teleinformat Wybrzeze Wyspianskiego 27 PL-50370 Wroclaw Poland

ISBN: (纸本)9783031087608;9783031087592

In the work, we are proposing a new distributed quantum annealing method of algorithm construction for solving an NP-hard scheduling problem. A method of diversification of calculations has been proposed by dividing the space of feasible solutions and using the fact that the quantum annealer of the D-Wave machine is able to optimally solve (for now) small-size subproblems only. The proposed methodology was tested on a difficult instance of a single machine total weighted tardiness scheduling problem proposed by Lawler.

关键词： Discrete optimization Scheduling Quantum algorithm Quantum annealing

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Simulation for urban computing scenarios: An overview and research challenges 10

Simulation for urban computing scenarios: An overview and re...

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10th IEEE international conference on Cyber Security and Cloud computing and 9th IEEE international conference on Edge computing and Scalable Cloud, CSCloud-EdgeCom 2023

作者： Wu, Lin Yang, Guogui Yan, Jintao Ran, Shuguang Zhao, Baokang Zhou, Huan National University of Defense Technology Changsha410073 China

ISBN: (纸本)9798350312461

Urban computing is an emerging computing paradigm for processing urban data to serve urban applications, which is an important manner to realize smart cities. To be specific, cloud computing and edge computing are usually leveraged to support urban computing. As a distributed and extended solution for cloud computing, edge computing is capable of providing better data services for IoT devices. However, edge computing resources are widely distributed and edge devices are highly mobile. To guarantee the QoS (Quality of Service), it is challenging to decide where to distribute the computing resources according to edge devices, especially around a specific urban area. Therefore, it is essential to simulate and verify the solution through evaluation tools before practical deployment in urban scenarios. But urban computing is a relatively new paradigm, there are few evaluation tools for direct usage. To provide hints for useful tools, we perform a survey study on existing evaluation tools for edge computing, which can be somehow applied to urban computing. In this paper, we first classify and define the evaluation tools into three categories: simulators, emulators, and testbeds. Then we perform a comprehensive study on the above three categories. Finally, we conclude the research challenges for urban computing based on current evaluation tools. © 2023 IEEE.

关键词： Testbeds

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Fractal feedback control for Elastic computing based on the Container-Component model 22

Fractal feedback control for Elastic computing based on the ...

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22nd international conference on Computational Mechanics and Modern Applied Software Systems, CMMASS 2021

作者： Semenov, A.S. Moscow Aviation Institute National Research University 4 Volokolamskoe shosse Moscow125993 Russia

One of the most significant characteristics of cloud computing is elasticity, which refers to the autoscaling control of resources based on the demands of the application or service. The problem of setting parameters of elastic autoscaling is not trivial and its solution depends on the control model. The Container-Component model that exploits the properties of fractals is investigated for this purpose. The fractal dimension is proposed to characterize the auto-scalability of distributed computing, independent of the implementation. The control of the fractal complexity by means of fractal feedback is considered. © Published under licence by IOP Publishing Ltd.

关键词： Containers

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Network Anomaly Detection in distributed Edge computing Infrastructure

Network Anomaly Detection in Distributed Edge Computing Infr...

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Consumer Communications and networking conference, CCNC IEEE

作者： William Marfo Enrique A. Rico Deepak K. Tosh Shirley V. Moore Department of Computer Science University of Texas at El Paso El Paso USA

ISBN: (数字)9798331508050

ISBN: (纸本)9798331508067

As networks continue to grow in complexity and scale, detecting anomalies has become increasingly challenging, particularly in diverse and geographically dispersed environments. Traditional approaches often struggle with managing the computational burden associated with analyzing large-scale network traffic to identify anomalies. This paper introduces a distributed edge computing framework that integrates federated learning with Apache Spark and Kubernetes to address these challenges. We hypothesize that our approach, which enables collaborative model training across distributed nodes, significantly enhances the detection accuracy of network anomalies across different network types. We show that by leveraging distributed computing and containerization technologies, our framework not only improves scalability and fault tolerance but also achieves superior detection performance compared to state-of-the-art methods. Extensive experiments on the UNSW-NB15 and ROAD datasets validate the effectiveness of our approach, demonstrating statistically significant improvements in detection accuracy and training efficiency over baseline models, as confirmed by MannWhitney U and Kolmogorov-Smirnov tests $(p<0.05)$ .

关键词： Training Fault tolerance Accuracy Federated learning Roads Scalability Computational modeling Fault tolerant systems Anomaly detection Edge computing

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Task Scheduling Policies in a Cloud computing Environment

Task Scheduling Policies in a Cloud Computing Environment

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Roedunet international conference (RoEduNet)

作者： Cătălina Mancaș Eugen Dumitrașcu Eugen Ganea Nicolae Enescu Gabriel-Cătălin Nedianu Faculty of Automation Computers and Electronics University of Craiova Craiova Romania Department NetDania SRL Software Development Craiova Romania

Virtualization solutions used within Cloud computing have proven over time to address the problem of inefficient use of physical computing resources. Virtualization can provide high-level availability to critical applications with, thus streamlining the operation of IT infrastructure and responding quickly to changes. The paper proposes a mathematical model based on Queuing Theory aimed at ensuring a certain level of Quality of Service (QoS).

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