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ieee international conference on Pervasive computing and Communications (PerCom)

作者： Li, Qimeng Mangione, Fabrizio Porreca, Francesco Gravina, Raffaele Fortino, Giancarlo Univ Calabria DIMES Arcavacata Di Rende Italy

ISBN: (纸本)9798350304367;9798350304374

In the rapidly evolving digital technology landscape, community-oriented wearable computing systems are emerging as a key tool for enhancing connectivity and interaction within communal spaces. This paper contributes to this burgeoning field by presenting the development and implementation of a proximity-based wearable computing testbed designed to forge stronger links within communities. The testbed exploits Ultra-Wideband (UWB) position sensors, 9-axis motion sensors, edge nodes, and a centralized server, forming a cohesive network that actively facilitates community interactions and engagements. By employing anchors and targets within the UWB sensors, the system achieves high precision in location and distance measurements, laying the groundwork for various proximity-based applications. Integrating 9-axis motion sensors and advanced edge nodes further underscores the system's versatility and robustness in wearable and edge computing. This paper delves into an in-depth exploration and evaluation of the proposed system's architecture, design, and implementation processes. It provides a comprehensive analysis of experimental results and discusses the system's potential impact on enhancing community networks, along with the future directions this technology could take.

关键词： Wearable computing Proximity-Based Smart Communities Testbed Edge computing

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NET Playground - A Multi-Functional Testbed for distributed systems 12

NET Playground - A Multi-Functional Testbed for Distributed ...

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12th ieee international Black Sea conference on Communications and Networking (BlackSeaCom)

作者： Schwenteck, Paul Zimmermann, Sandra von Lengerke, Caspar Scheunert, Christian Fitzek, Frank H. P. Tech Univ Dresden Deutsch Telekom Chair Commun Networks Dresden Germany Tech Univ Dresden Chair Informat Theory & Machine Learning Dresden Germany Ctr Tactile Internet Human in the Loop CeTI Dresden Germany

ISBN: (纸本)9798350351866;9798350351859

Hardware testbeds play a crucial role in evaluating the energy consumption and performance of distributed systems. In this paper, we present a multi-functional testbed for distributed systems that is easily accessible, operable, and configurable. We describe the design, implementation, and orchestration of the testbed that consists of off-the-shelf devices with varying specifications, energy consumption, and network connectivity. Additionally, we provide all technical information in an opensource GitLab repository. Using the presented testbed, we evaluate in a specific test scenario the download time and energy consumption of a distributed caching system that operates using the InterPlanetary File System (IPFS) and the Multi Access Recoding System (MARS), an addition to IPFS using network coding. Our results show that an increase in the number of nodes in the network can significantly reduce download time for the user by 57%, while MARS is 10% faster than IPFS with less than 8 peers. The number of transmitting nodes does not affect the energy the user requires for the download process. Also, every node in the network requires less energy when more nodes are available. However, the overall energy required for the network rises significantly by 400%. Such network-wide observations are difficult to obtain in simulations or emulations, emphasizing the importance of using real testbeds to evaluate distributed systems.

关键词： Hardware testbed energy consumption distributed caching IPFS network performance analysis distributed architectures

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Exploring the Future of Quantum computing-Enabled Blockchain Development: A Survey 4

Exploring the Future of Quantum Computing-Enabled Blockchain...

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4th ieee international conference on Digital Twins and Parallel Intelligence, DTPI 2024

作者： Li, Zhijian Zhu, Peng Nanjing University of Science and Technology School of Economics and Management Nanjing China

ISBN: (纸本)9798350349252

With the advancement and application of blockchain technology, its limitations in security, performance, and other aspects have become increasingly prominent. The cryptographic foundations that blockchain relies on are facing significant threats from quantum computing, rendering traditional schemes difficult to transplant directly into the quantum environment. Consequently, exploring the deep integration of quantum information technology with blockchain and constructing a new generation of blockchain systems resistant to quantum attacks has become a research hotspot. This paper aims to review the current research status of quantum computing-enabled blockchain development, analyze the key scientific issues it faces, and anticipate future directions. Quantum blockchain is expected to fundamentally address many of the current blockchain system's pain points and provide technical support for constructing a safe and efficient distributed value system. © 2024 ieee.

关键词： Quantum computers

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distributed Runtime Verification of Metric Temporal Properties for Cross-Chain Protocols 42

Distributed Runtime Verification of Metric Temporal Properti...

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42nd ieee international conference on distributed computing systems (ICDCS)

作者： Ganguly, Ritam Xue, Yingjie Jonckheere, Aaron Ljung, Parker Schornstein, Benjamin Bonakdarpour, Borzoo Herlihy, Maurice Michigan State Univ E Lansing MI 48824 USA Brown Univ Providence RI 02912 USA

ISBN: (数字)9781665471770

ISBN: (纸本)9781665471770

Transactions involving multiple blockchains are implemented by cross-chain protocols. These protocols are based on smart contracts, programs that run on blockchains, executed by a network of computers. Verifying the runtime correctness of smart contracts is a problem of compelling practical interest since, smart contracts can automatically transfer ownership of cryptocurrencies, electronic securities, and other valuable assets among untrusting parties. Such verification is challenging since smart contract execution is time sensitive, and the clocks on different blockchains may not be perfectly synchronized. This paper describes a method for runtime monitoring of blockchain executions. First, we propose a generalized runtime verification technique for verifying partially synchronous distributed computations for the metric temporal logic (MTL) by exploiting bounded-skew clock synchronization. Second, we introduce a progression-based formula rewriting scheme for monitoring MTL specifications which employs SMT solving techniques and report experimental results.

关键词： Metric Temporal Logic Partial Synchrony distributed systems Runtime Verification Blockchain Cross-Chain Protocols

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SFSM: A Serverless Function Scheduling Method for FaaS Applications over Edge computing

SFSM: A Serverless Function Scheduling Method for FaaS Appli...

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ieee international conference on Web Services (ieee ICWS)

作者： Tian, Hao Chen, Cheng Dai, Fei Dou, Wanchun Nanjing Univ State Key Lab Novel Software Technol Nanjing Peoples R China Southwest Forestry Univ Coll Big Data & Intelligent Engn Kunming Yunnan Peoples R China

ISBN: (纸本)9798350368567;9798350368550

Serverless edge computing is emerging as an enabler to provision scalable and flexible Function-as-a-Service (FaaS) applications with lightweight function instances at network edge. In serverless edge computing, the function instances with inter-dependencies are scheduled to proximate edge nodes in a distributed manner. However, the heterogeneity and unpredictability of edge networks bring significant challenge in realizing optimal scheduling decision to guarantee execution performance of applications without any prior. In view of this challenge, a Serverless Function Scheduling Method, named SFSM, is proposed in this paper for FaaS applications over edge computing. First, a long-term optimization problem is formulated to reduce completion time and decoupled into time-slot sub-problems via Lyapunov optimization. To avoid the cross-edge redundant data transmission overhead of inter-functions, a two-level graph optimization is designed with vertical and horizontal data merging. Then, SFSM incorporates an online multi-armed bandit-based scheduling algorithm that only requires the context of requests without complete information of edge networks. Finally, extensive experimental results based on real-world datasets demonstrate the effectiveness and superiority of SFSM.

关键词： Serverless edge computing serverless function scheduling graph optimization online learning multi-armed bandit

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distributed Blockchain-SDN Models for Robust Data Security in Cloud-Integrated IoT Networks 3

Distributed Blockchain-SDN Models for Robust Data Security i...

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3rd international conference on Automation, computing and Renewable systems, ICACRS 2024

作者： Haritha, Koya Vellela, Sai Srinivas Roja, D. Vuyyuru, Lakshma Reddy Malathi, Nallapu Dalavai, Lavanya Dept. of CSE-Data Science Chalapathi Institute of Technology AP Guntur522016 India Dept. of CSE KoneruLakshmaiah Education Foundation AP Vaddeswaram India Dept. of CSE-DS KKR & KSR Institute of Technology and Sciences AP Guntur522017 India

ISBN: (纸本)9798331532420

Blockchain and SDN are combined in the "DistB-SD Cloud" architecture to secure and execute cloud-integrated IoT data. Cloud computing Management and Services, distributed Secure Blockchain Methodology, SDN Environment, and Data Extraction comprise the architecture. SDN-enabled devices safely gather and process sensor data in the data plane, while OpenFlow and OpenStack handle network component communication in the control plane. The application layer improves network administration with dynamic configuration and data analytics. distributed nodes and hash chains ensure system integrity in blockchain-based access control and ledger maintenance. Blockchain and SDN improve security, privacy, and scalability by resisting attacks. The architecture outperforms OpenFlow-based SDN models in throughput and bandwidth, proving its stability under different network conditions. The study shows that the suggested "DistB-SD Cloud" achieves increased throughput (22.1 KB/s) and bandwidth (1.9 GB/s) when nodes and packet arrival rates increase, making it a feasible solution for safe and scalable cloud computing in IoTbased systems. © 2024 ieee.

关键词： Cloud security

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Demo: EdgeNet, a Production Internet-Scale Container-Based distributed System Testbed 42

Demo: EdgeNet, a Production Internet-Scale Container-Based D...

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42nd ieee international conference on distributed computing systems (ICDCS)

作者： Senel, Berat Can Mouchet, Maxime Cappos, Justin Friedman, Timur Fourmaux, Olivier McGeer, Rick Sorbonne Univ Paris France NYU New York NY 10003 USA EngageLively Orinda CA USA

ISBN: (数字)9781665471770

ISBN: (纸本)9781665471770

The EdgeNet software is free, open-source, liberally licensed code that extends the Kubernetes container orchestration system to the edge cloud. We use this code to run the EdgeNet testbed, an internet-scale edge cloud for distributed systems researchers. This demonstration showcases three features of EdgeNet: its multitenancy model, its multi-provider aspect, and its geographically-based selective deployment capability. Multitenancy allows multiple teams to use the platform concurrently;being multi-provider, independent contributors can make nodes available to the platform;and selective deployment facilitates location-based placement of software. Under our guidance, demo participants invoke the Kubernetes command-line interface to use the testbed. In so doing, they get experience with the testbed, which they can continue to use afterwards. They also gain insight into how the demonstrated features are useful for edge cloud container deployment in general. Participants who volunteer to help EdgeNet nodes receive Odroid devices to host in their homes or workplaces.

关键词： distributed testbed containers multitenancy Kubernetes edge computing virtual private networks

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ComFaaS distributed: Edge computing with Function-as-a-Service in Parallel Cloud Environments 7

ComFaaS Distributed: Edge Computing with Function-as-a-Servi...

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7th international conference on Information and Computer Technologies, ICICT 2024

作者： Lee, Jaden Jinu Nava, Judah Lee, Hanku Minnesota State University Moorhead Computer Science And Information Systems MoorheadMN United States

ISBN: (纸本)9798350385625

Function-as-a-Service (FaaS) has emerged as a revolutionary service platform, abstracting the complexities of hardware, operating systems, and web hosting services. This allows developers to focus solely on implementing their service applications, making FaaS an ideal platform for the scalable manipulation of large data sets. Traditionally deployed on the cloud, FaaS now faces a new frontier: the network edge. Leveraging the edge offers several potential benefits, including reduced latency and improved resource utilization, making it a promising approach for efficient FaaS deployment. As the daily volume and complexity of data we handle continues to grow, adopting a parallel computing paradigm has become increasingly important to ensure fast and efficient execution of computational tasks. Addressing this need, ComFaaS distributed embarks on a comprehensive comparison of the capabilities of parallelized edge and cloud environments for FaaS deployment. Utilizing benchmark programs meticulously crafted to simulate event-triggered scenarios, ComFaaS distributed aims to provide valuable insights into the performance and potential of FaaS at the edge, paving the way for a future where parallel computing empowers the efficient and scalable processing of ever-growing data volumes. © 2024 ieee.

关键词： Edge computing

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EIDLS: An Edge-Intelligence-Based distributed Learning System Over Internet of Things

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ieee TRANSACTIONS ON systems MAN CYBERNETICS-systems 2023年第7期53卷 3966-3978页

作者： Wang, Tian Sun, Bing Wang, Liang Zheng, Xi Jia, Weijia Beijing Normal Univ BNU UIC Inst Artificial Intelligence & Future Netw Zhuhai 519000 Peoples R China BNU HKBU United Int Coll Guangdong Key Lab AI & Multimodal Data Proc Zhuhai 519000 Peoples R China Huaqiao Univ Coll Comp Sci & Technol Xiamen 361021 Peoples R China Northwestern Polytech Univ Sch Comp Sci Xian 710072 Peoples R China Macquarie Univ Dept Comp Sydney NSW 2109 Australia

With the rapid development of wireless sensor networks (WSNs) and the Internet of Things (IoT), increasing computing tasks are sinking to mobile edge networks, such as distributed learning systems. These systems benefit from the massive amounts of data and computing power on mobile devices and can learn qualified models on the premise of protecting user privacy. In fact, coordinating mobile devices to participate in computing is challenging. On the one hand, the heterogeneous performance of devices makes it difficult to guarantee computing efficiency. On the other hand, there are unreliable factors in the mobile network, which will destroy the stability of the distributed learning. Therefore, we design a three-layer framework called an edge-intelligence-based distributed learning system (EIDLS). Specifically, a novel multilayer perceptron-based device availability evaluation model is proposed to select devices with good performance. The evaluation model performs online learning and optimization according to the resources (CPU, battery, etc.) of devices. Meanwhile, we propose a dynamic trust evaluation algorithm to reduce the side effects of unreliable devices. The experimental results of some commonly used datasets validate that the proposed EIDLS dramatically minimizes the energy consumption and communication cost and improves the calculation accuracy and the stability of the system.

关键词： Distance learning Computer aided instruction Training Servers Computational modeling Performance evaluation Internet of Things Deep learning distributed systems framework Internet of Things (IoT) wireless edge networks

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Graph Neural Network-based Multi-agent Reinforcement Learning for Resilient distributed Coordination of Multi-Robot systems

Graph Neural Network-based Multi-agent Reinforcement Learnin...

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2024 international conference on Intelligent Robots and systems

作者： Goeckner, Anthony Sui, Yueyuan Martinet, Nicolas Li, Xinliang Zhu, Qi Northwestern Univ Dept Elect & Comp Engn Evanston IL 60208 USA INRIA CNRS Rennes France

ISBN: (纸本)9798350377712;9798350377705

Existing multi-agent coordination techniques are often fragile and vulnerable to anomalies such as agent attrition and communication disturbances, which are quite common in the real-world deployment of systems like field robotics. To better prepare these systems for the real world, we present a graph neural network (GNN)-based multi-agent reinforcement learning (MARL) method for resilient distributed coordination of a multi-robot system. Our method, Multi-Agent Graph Embedding-based Coordination (MAGEC), is trained using multi-agent proximal policy optimization (PPO) and enables distributed coordination around global objectives under agent attrition, partial observability, and limited or disturbed communications. We use a multi-robot patrolling scenario to demonstrate our MAGEC method in a ROS 2-based simulator and then compare its performance with prior coordination approaches. Results demonstrate that MAGEC outperforms existing methods in several experiments involving agent attrition and communication disturbance, and provides competitive results in scenarios without such anomalies.

关键词： Multipurpose robots

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