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检索条件"任意字段=25th IEEE International Conference on Distributed Computing Systems"

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26th ieee international conference on distributed computing systems - Copyright

26th IEEE International Conference on Distributed Computing ...

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international conference on distributed computing systems

Copyright and Reprint Permissions: Abstracting is permitted with credit to the source. Libraries may photocopy beyond the limits of US copyright law, for private use of patrons, those articles in this volume that carry a code at the bottom of the first page, provided that the per-copy fee indicated in the code is paid through the Copyright Clearance Center. the papers in this book comprise the proceedings of the meeting mentioned on the cover and title page. they reflect the authors' opinions and, in the interests of timely dissemination, are published as presented and without change. their inclusion in this publication does not necessarily constitute endorsement by the editors or the Institute of Electrical and Electronics Engineers, Inc.

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26th ieee international conference on distributed computing systems Workshops - Copyright

26th IEEE International Conference on Distributed Computing ...

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international conference on distributed computing systems Workshop

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TSR: a Location Privacy Preservation Mechanism in Public Transportation Route Planning Service 25th

TSR: a Location Privacy Preservation Mechanism in Public T...

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25th international conference on Parallel and distributed computing, Applications and Technologies, PDCAT 2024

作者： Wu, Wei Sang, Yingpeng Zhang, Haibo Hong, Shen School of Computer Science and Engineering Sun Yet-sen University Guangzhou China School of Computing University of Otago Dunedin New Zealand School of Engineering and Technology Central Queensland University Brisbane Australia

ISBN: (纸本)9789819642069

Location-based service (LBS) applications are increasingly popular for travelling. the public transit scenario is very common in urban areas, yet there is a lack of effective privacy protection mechanisms to safeguard users’ location privacy when using services from untrusted third-party LBS providers. this paper introduces Transportation Shift-based Routing (TSR), a privacy protection mechanism for public transportation travel scenarios. It allows users to query public transit routes through applications that comply with this mechanism without disclosing any significant details about the location, and fills the gap in privacy protection mechanisms in public transportation scenarios. the fundamental concept is to shift the query’s starting and ending points to nearby stations and repeatedly perform perturbations that satisfy geo-indistinguishability, submitting a collection of perturbed station pairs to the LBS. TSR computes the set of obtained routes to derive an optimal route plan. the best route calculated can maintain service availability and protect user location privacy, with only a minimal difference from the best route obtained by direct query. TSR also allows users to freely choose privacy parameters for different scenarios and strives to ensure service quality, offering high flexibility. We implement the TSR application and conduct experiments with real-world map services. the experimental outcomes indicate that TSR successfully strikes a balance between preserving location privacy and maintaining service usability. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Differential privacy

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A 2-Dimensional mm-Scale Network-on-Textiles (kNOTs) for Wearable computing with Direct Die-to-Yarn Integration of 0.6×2.15mm2SoC and bySPI Chiplets 72

A 2-Dimensional mm-Scale Network-on-Textiles (kNOTs) for Wea...

引用

72nd ieee international Solid-State Circuits conference, ISSCC 2025

作者： Agrawal, Anjali Chen, Zhenghong Desman, Braden E. Wang, Jinhua Tanaka, Akiyoshi Foysal, Fahim Hess, Charlie D. Farrell, Will Owens, Jim Truesdell, Daniel S. Calhoun, Benton H. University of Virginia CharlottesvilleVA United States Nautilus Defense LLC PawtucketRI United States

ISBN: (纸本)9798331541019

this paper proposes a scalable, 2-dimensional network-on-textiles (kNOT) comprised of systems-on-chip (SoCs) and 'bySPI' networking chiplets that are jointly capable of supporting heterogeneous programming, multiple sensing modalities, and a distributed memory system. Emerging e-textiles must retain the flexibility and comfort of their host garment to be viable in wearable applications for healthcare, virtual reality, and sports [1]-[4]. Prior integration efforts have demonstrated textile computing by weaving flexible filament circuits [5]-[7], embroidering conductive yarns [8], and fabricating electronic fibers [9]-[10]. Still, these works suffer from a combination of bulky, rigid components, high cost, or 1-dimensionality (Fig. 37.2.1). To preserve the textile's look and feel, SoCs for fabric integration must also be highly miniaturized, feature minimal area-hungry IO interfaces, be easily programmable, and be fully integrable. the e-textile system in [11] integrated a health sensing chip onto a planar fashionable circuit board, yet the board (25×25mm2) is 40× larger than the chip itself. the System-in-Fiber from [12] is fully autonomous but has many IO pads, is limited to 1D networks, and requires an interposer (4.7×3.7mm2) that is 3.8× larger than the die. Most recently, a battery-less e-textile system in [13] integrates cm-scale harvesting tiles and an inductor onto a shirt, but it lacks an integrated SoC. Many wearable applications also demand substantial on-garment storage, yet large memories are unsuited for comfortable textile integration due to their sizable footprint. Our kNOT solution addresses this by replacing monolithic memory units with a distributed set of smaller memories. However, networking these chiplets via existing bus standards incurs significant area and power penalties [14]. Existing Body Area Networks highlight the potential of multi-chip solutions, but they lack seamless textile integration [15]-[17]. Hence, to truly realize a fabric comp

关键词： Network-on-chip

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A Novel Merging Framework for Homogeneous and Heterogeneous Blockchain systems 18th

A Novel Merging Framework for Homogeneous and Heterogeneou...

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18th international conference on Wireless Artificial Intelligent computing systems and Applications, WASA 2024

作者： Zhu, Liehuang Bukhari, Sadaf Sharif, Kashif Li, Fan Fardous, Shumaila Biswas, Sujit Beijing Institute of Technology Beijing China CITY University of London London United Kingdom

ISBN: (纸本)9783031714665

this paper presents two solutions for merging diverse blockchain systems: Homogeneous Chain Consolidation (HCC) and Heterogeneous Multi-chain Integration Architecture (HMIA). As blockchain networks expand, integrating these disparate ledgers becomes crucial. HCC merges similar chains using common genesis blocks, enhancing efficiency by pooling validator resources. HMIA integrates different chains through meta-blocks, balancing compatibility and autonomy. We evaluate these approaches using consensus times, block sizes, and ledger growth. HCC improves throughput and efficiency, while HMIA prioritizes decentralized attributes. Use case-based evaluation shows that the proposed work can be seamlessly integrated with existing solutions, while the performance of implementation proves the low cost of resources in merged networks. Our frameworks offer insights into merging blockchains, addressing critical challenges in interconnected decentralized networks. © the Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： distributed ledger

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computing Performance Analysis of IEC 61499 distributed Automation systems

Computing Performance Analysis of IEC 61499 Distributed Auto...

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26th international conference on Industrial Technology, ICIT 2025

作者： Lyu, Tuojian Vyatkin, Valeriy Aalto University Department of Electrical Engineering and Automation Espoo Finland Luleå Tekniska Universitet Department of Computer Science Computer and Space Engineering Sweden

ISBN: (纸本)9798331521950

this work analyzes the computing performance of distributed control systems in IEC 61499 on two hardware devices, Dell XPS workstation and Raspi 4B. Based on the test IEC 61499 application, three different system configurations are tested to simulate the distribution options of singleprocess and single-thread, multi-threading, and multi-process on both hardware platforms. Experimental results show that multiprocess configurations yield more consistent execution time due to dedicated resource allocation, while multi-threading, though resource-efficient, can lead to latency variability. these results aim at help in choosing optimal configurations and selecting hardware for performance in distributed automation systems. © 2025 ieee.

关键词： Parallel processing systems

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Fault Diagnosis Research of distributed Photovoltaic System Based on Support Vector Machine

Fault Diagnosis Research of Distributed Photovoltaic System ...

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Consumer Electronics and Computer Engineering (ICCECE), 2021 ieee international conference on

作者： Xinran Wang Di Bai Shenyang Institute of Engineering Shenyang China

ISBN: (数字)9798331533113

ISBN: (纸本)9798331533120

In order to improve the precision and efficiency of fault diagnosis of distributed photovoltaic (PV) systems, an efficient fault diagnosis model is constructed by combining the classification ability of support vector machine and the advantages of distributed computing. the analysis results show that the model has a classification accuracy of 97.6%, a recall of 96.5% and an F1 value of 96.8% on the experimental dataset, which can adapt to a variety of operating states and fault scenarios, and maintains a high diagnostic performance under the condition of multiple fault superposition, with a classification accuracy of 91.8%-94.2%, demonstrating a strong applicability and robustness, and providing a reliable technological support for the intelligent operation and maintenance of PV systems. It shows strong applicability and robustness, and provides reliable technical support for intelligent operation and maintenance of PV systems.

关键词： Fault diagnosis Support vector machines Photovoltaic systems Industries Adaptation models Accuracy Computational modeling Robustness Maintenance distributed computing

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Towards Implementation of Privacy-Preserving Federated Learning Aggregation Using Multi-key Homomorphic Encryption

Towards Implementation of Privacy-Preserving Federated Lear...

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

作者： Boudko, Svetlana Norwegian Computing Center Oslo Norway

ISBN: (纸本)9783031859229

Federated Learning is a machine learning approach where a model is trained across multiple decentralized edge devices. Since the data are not uploaded to a server, this approach is particularly useful for data protection and efficient computation. Further, it can be combined with privacy-preserving technologies, e.g., homomorphic encryption for enhanced data protection. Considering all these elements, a practical solution will require an efficient multikey homomorphic encryption as well as an effective integration of federated model aggregation and multikey generation processes. the paper studies the related work for homomorphic encryption in the context of federated learning and outlines the rationale behind practical design of secure federated learning. © the Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： distributed computer systems

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Role of Edge computing in IoT

Role of Edge Computing in IoT

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international conference on Communication systems and Network Technologies (CSNT)

作者： Pragya Singh Preeti Gautam Namita Arya MITS Gwalior Centre of Internet of Things Madhya Pradesh India

ISBN: (数字)9798331531935

ISBN: (纸本)9798331531942

computing stands at a crossroads between speed and scale. the cloud promises vast computing power and storage, yet shuffling data to and from those distant servers takes time - often too much. Edge computing looks to resolve that dilemma by shifting processing closer to the devices generating all that data. Rather than relying solely on gargantuan centralized cloud servers, edge computing utilizes nearby devices and micro data centers to enable real-time, location-aware services and this distributed approach brings quicker responses and leaner loads by leveraging local gadgets to handle localized computing chores. However fully activating edge computing's potential requires surmounting a few obstacles first. Efficiently coordinating myriad devices for data storage and number-crunching poses logistical challenges. Integrating these decentralized nodes into the centralized cloud framework demands care and forethought. And securing expansive networks of hardware and software is no simple feat. Still, the promised gains in speed and adaptability compel this revolution in computing.

关键词： Cloud computing Technological innovation Standards organizations Real-time systems Software Hardware Security Servers Internet of things Edge computing

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Hybrid Sine-Cosine Chimp Optimization of Adaptive distributed Denial-of-Service Detection and Classification for Blockchain 12th

Hybrid Sine-Cosine Chimp Optimization of Adaptive Distribute...

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12th international conference on Frontiers of Intelligent computing: theory and Applications, FICTA 2024

作者： Mrunalini, G. Vijaya Babu, K. Kesava Reddy, V. Sudha Pavani, K. Ranjith, Jinugu Uday Kishore, G. CMR Engineering College Telangana Hyderabad India Department of Computer Science and Engineering CMR Engineering College Telangana Hyderabad India Department of Humanities & Science CMR Technical Campus Telangana Hyderabad India CMR Technical Campus Telangana Hyderabad India Department of Computer Science and Engineering CMR College of Engineering & Technology Telangana Hyderabad India

ISBN: (纸本)9789819601387

Because of its decentralized, transparent, and secure characteristics, blockchain technology is becoming more and more popular. therefore, it is imperative to make sure that it is resilient to network threat, particularly distributed denial-of-service (DDoS) assaults. this study tackles the susceptibility of the blockchain system to denial-of-service attacks (DDoS) that compromise its fundamental decentralized features and jeopardize their dependability and security. We have developed a new adaptive integration method for identifying and detecting different types of DDoS attacks. In order to verify the resilience and accuracy of our methodology, we extracted a dataset that combined several DDoS attacks. this allowed us to use our methodology to identify DDoS threats and then divide them into seven distinct assault subcategories. A comprehensive framework that smoothly integrates a hybrid sine–cosine chimp optimization model has been suggested to address the wide range of variances in DDoS attacks. Our framework’s novel feature is addition of the dynamic weight adjustment method, which improves system flexibility. Empirical findings validate the effectiveness of our ensemble approach over singular models for a range of assessment criteria. With rates for classification tasks and 99.56% for detection, the framework demonstrated impressive accuracy. this work opens the door for enhancing blockchain systems’ security mechanisms against DDoS attacks by creating an all-encompassing and flexible methodology. the dynamic weight adjustment in conjunction with the ensemble technique shows promise in guaranteeing the long-term security and reliability of blockchain technology. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Denial-of-service attack

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