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2024 international conference on Quantum computing and Engineering

作者： Kashani, Sajjad Singh, Angadh Stege, Ulrike Univ Victoria Victoria BC Canada

ISBN: (纸本)9798331541378

distributed quantum computing (DQC) is a rapidly evolving field with its own unique challenges. Distributing a quantum algorithm involves several key steps and considerations. The steps involve decomposition at various levels of abstraction, given the underlying quantum stack and quantum network capabilities. In our DQC design explorations, we focus on the distribution at the algorithm and circuit levels. Algorithmic distribution involves distributing tasks before compilation, allowing different quantum processing units (QPUs) to receive distinct parts of an algorithm. Circuit distribution involves executing a quantum algorithm in a distributed manner at the circuit execution level using circuit and adaptive quantum technologies. If entanglement across QPUs is supported, then quantum states can be shared between qubits on remote quantum processors. This requires a specialized architecture with data and communication qubits with non-local gates such as telegates and teledata gates. This paper presents our progress towards a framework for exploring quantum distribution at the algorithm and circuit levels. Our implementation and case studies demonstrate the feasibility of our approach and show effective pathways for distributed quantum algorithm experiments.

关键词： distributed Quantum computing distributed Quantum Framework

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distributed Optimization-based Formation Tracking for Multi-agent systems with a Privacy-preserving Mechanism 18

Distributed Optimization-based Formation Tracking for Multi-...

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ieee 18th international conference on Control and Automation (ICCA)

作者： Su, Lingfei Hua, Yongzhao Dong, Xiwang Ren, Zhang Beihang Univ Inst Artificial Intelligence Beijing 100191 Peoples R China Beihang Univ Inst Artificial Intelligence Inst Unmanned Syst Beijing 100191 Peoples R China Beihang Univ Sch Automat Sci & Elect Engn Sci & Technol Aircraft Control Lab Beijing 100191 Peoples R China

ISBN: (纸本)9798350354416;9798350354409

This paper investigates distributed time-varying optimization-based formation tracking problems for discrete-time heterogeneous multi-agent systems with unknown disturbances. Firstly, an optimization-based formation tracking problem with privacy preservation is established, which formulates the relation between the formation tracking and the distributed optimization on the formation reference. Then, a distributed formation tracking controller composing of differential privacy mechanism and stochastic subgradient method is designed. Furthermore, the privacy, stability and optimality are proved by utilizing the discrete-time Lyapunov method. Finally, numerical simulations demonstrate the effectiveness of the proposed method.

关键词： Multi agent systems

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Scheduling Firm Real-time Applications on the Edge with Single-bit Execution Time Prediction 26

Scheduling Firm Real-time Applications on the Edge with Sing...

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26th ieee international Symposium on Real-Time distributed computing (ISORC)

作者： Salman, Shaik Mohammed Dao, Van-Lan Papadopoulos, Alessandro Vittorio Mubeen, Saad Nolte, Thomas Malardalen Univ Vasteras Sweden

ISBN: (纸本)9798350339024

The edge computing paradigm brings the capabilities of the cloud such as on-demand resource availability to the edge for applications with low-latency and real-time requirements. While cloud-native load balancing and scheduling algorithms strive to improve performance metrics like mean response times, real-time systems, that govern physical systems, must satisfy deadline requirements. This paper explores the potential of an edge computing architecture that utilizes the on-demand availability of computational resources to satisfy firm real-time requirements for applications with stochastic execution and inter-arrival times. As it might be difficult to know precise execution times of individual jobs prior to completion, we consider an admission policy that relies on single-bit execution time predictions for dispatching. We evaluate its performance in terms of the number of jobs that complete by their deadlines via simulations. The results indicate that the prediction-based admission policy can achieve reasonable performance for the considered settings.

关键词： 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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Continuous-Time distributed Dynamic Programming for Networked Multi-Agent Markov Decision Processes 18

Continuous-Time Distributed Dynamic Programming for Networke...

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ieee 18th international conference on Control and Automation (ICCA)

作者： Lee, Donghwan Lim, Han-Dong Kim, Do Wan Korea Adv Inst Sci & Technol KAIST Dept Elect & Engn Daejeon 34141 South Korea Hanbat Natl Univ Dept Elect Engn Daejeon 34158 South Korea

ISBN: (纸本)9798350354416;9798350354409

The main goal of this paper is to investigate continuous-time distributed dynamic programming (DP) algorithms for networked multi-agent Markov decision problems (MAMDPs). In our study, we adopt a distributed multi-agent framework where individual agents have access only to their own rewards, lacking insights into the rewards of other agents. Moreover, each agent has the ability to share its parameters with neighboring agents through a communication network, represented by a graph. We first introduce a novel distributed DP, inspired by the distributed optimization method of Wang and Elia. Next, a new distributed DP is introduced through a decoupling process. The convergence of the DP algorithms is proved through systems and control perspectives. The study in this paper sets the stage for new distributed temporal different learning algorithms.

关键词： Dynamic programming

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distributed Reconstruction of Noisy Pooled Data 42

Distributed Reconstruction of Noisy Pooled Data

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

作者： Hahn-Klimroth, Max Kaaser, Dominik TU Dortmund Univ Dortmund Germany TU Hamburg Hamburg Germany

ISBN: (数字)9781665471770

ISBN: (纸本)9781665471770

In the pooled data problem we are given a set of n agents, each of which holds a hidden state bit, either 0 or 1. A querying procedure returns for a query set the sum of the states of the queried agents. The goal is to reconstruct the states using as few queries as possible. In this paper we consider two noise models for the pooled data problem. In the noisy channel model, the result for each agent flips with a certain probability. In the noisy query model, each query result is subject to random Gaussian noise. Our results are twofold. First, we present and analyze for both error models a simple and efficient distributed algorithm that reconstructs the initial states in a greedy fashion. Our novel analysis pins down the range of error probabilities and distributions for which our algorithm reconstructs the exact initial states with high probability. Secondly, we present simulation results of our algorithm and compare its performance with approximate message passing (AMP) algorithms that are conjectured to be optimal in a number of related problems.

关键词： Reconstruction Pooled Data Random Noise Greedy Algorithm Approximate Message Passing

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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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Development and Validation of a Proximity-based Wearable computing Testbed for Community-oriented Wearable systems

Development and Validation of a Proximity-based Wearable Com...

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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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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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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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