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检索条件"任意字段=8th International Conference on Distributed Computing and Networking"

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Design and Realization of Intelligent Airborne Information Processing Concept Simulation System 24

Design and Realization of Intelligent Airborne Information P...

引用

24th IEEE international conference on High Performance computing and Communications, 8th IEEE international conference on Data Science and Systems, 20th IEEE international conference on Smart City and 8th IEEE international conference on Dependability in Sensor, Cloud and Big Data Systems and Application, HPCC/DSS/SmartCity/DependSys 2022

作者： Xie, Jianchun Bai, Linting Luo, Qing Aviation Key Laboratory of Science and Technology on Airborne and Missile-borne Computer Avic Xi'an Aeronautics Computing Technique Research Institute Xi'an China College of Aerospace Engineering Nanjing University of Aeronautics and Astronautics Nanning China Shenyang Aircraft Design and Reserch Institute Shenyang China

ISBN: (纸本)9798350319934

Facing the development trend of future distributed cloud operations, intelligent operations, and the technical requirements of multi-machine collaborative operations in the aviation field, this paper further studies the unified data transmission and management of multiple platforms based on the research of the unified cloud intelligent combat system architecture. distributed data storage and management, multi-platform open information processing resource management and other key technologies, on the basis of the principle prototype designed and implemented by ourselves, a set of conceptual simulation platforms have been constructed for the simulation and technical verification of the entire airborne information processing system. © 2022 IEEE.

关键词： distributed cloud

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IoT-based Office Buildings Energy Management with distributed Edge computing Capability 8

IoT-based Office Buildings Energy Management with Distribute...

引用

8th international conference on Technology and Energy Management, ICTEM 2023

作者： Moghadam, Meisam Nesary Abapour, Mehdi Greater Tehran Electricity Distribution Company Tehran Iran University of Tabriz Faculty of Electrical and Computer Engineering Tabriz Iran

ISBN: (纸本)9781665452854

Building Energy Management systems (BEMS) are becoming very popular, for providing net Zero Energy Buildings (nZEBs). Attachment of these systems through IoT technologies, enables the building owners as well as utility companies to control energy's usage, generation, and storage in a more smart and real time manner, which is the foundational concept for Internet of Energy (IoE). High number of buildings especially in metropolitan areas imposes high amount of computation resources and increased communication and computation delays to the central cloud servers. In this paper, we first describe the details of a real IoT-based large scale deployment of office buildings energy management system in Greater Tehran Electricity Distribution Company (GTEDC), and then we propose an edge computing solution to reduce the complexity and delay of data dissemination in the system expansion phase. © 2023 IEEE.

关键词： Internet of Energy

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AIC-based distributed Photovoltaic Data Compression Sensing Method 8

AIC-based Distributed Photovoltaic Data Compression Sensing ...

引用

8th international conference on Intelligent computing and Signal Processing, ICSP 2023

作者： Shi, Zhan Li, Bo Yang, Zhihua Wang, Xiuzhu Guangdong Power Grid Co. Ltd. Power Dispatching Control Center Communication Management Department Guangdong China Guangdong Electric Power Communication Technology Co. Ltd. Science Innovation Department Guangdong China

ISBN: (纸本)9798350302455

In view of the high-speed data transmission requirements of the new generation of power line carrier communication in distributed photovoltaic information access, data compression sensing is required to improve. In this paper, we study an AIC-based distributed photovoltaic data compression sensing method. Based on the adaptive characteristics of K-singular value decomposition (K-SVD) algorithm, the data sparsity is dynamically estimated to realize the adaptive dynamic adjustment of data acquisition. AIC algorithm is used to reconstruct data, which greatly improves the accuracy of data reconstruction. Information aggregation based on compressed sensing is constructed to achieve high efficiency data aggregation under the condition of low sampling rate. Simulation results show the superior performance of the proposed algorithm in the data transmission volume and energy consumption. © 2023 IEEE.

关键词： Data compression

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Robust-DSN - Performance and Fault Tolerance of a distributed Storage Network 8

Robust-DSN - Performance and Fault Tolerance of a Distribute...

引用

8th IEEE international conference on Fog and Mobile Edge computing (FMEC)

作者： Hameed, Zeeshan Barzegar, Hamid R. El Ioini, Nabil Pahl, Claus Free Univ Bozen Bolzano Fac Engn Bolzano Italy Univ Nottingham Malaysia Sch Comp Sci Semenyih Malaysia

ISBN: (纸本)9798350316971

the development of various mobile applications, the Internet of things (IoT), or smart cities generates massive amounts of data. Cloud computing allows businesses to store, manage, and process data using a network of remote servers hosted on the Internet. However, cloud computing essentially suffers from data security concerns and lack of transparency and trust. Decentralized storage has gained popularity due to fault tolerance, scalability, privacy, and security properties. However, the widespread adoption of decentralized storage is facing obstacles due to concerns regarding performance and reliability. the need to efficiently schedule tasks from a large and diverse pool of resources is a challenge. In this study, we introduce a robust distributed storage network (Robust-DSN) that leverages the Inter-Planetary File System (IPFS) for content-based data management, Galois Field Arithmetic-based Reed-Solomon encoding for file partitioning, and Particle Swarm Optimization (PSO) for system optimization and lightweight multithreading for concurrent execution of tasks.

关键词： Fault tolerance

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distributed Edge Machine Learning Pipeline Scheduling with Reverse Auctions 8

Distributed Edge Machine Learning Pipeline Scheduling with R...

引用

8th IEEE international conference on Fog and Mobile Edge computing (FMEC)

作者： Imes, Connor King, David W. Walters, John Paul Univ Southern Calif Inst Informat Sci Arlington VA 22203 USA Air Force Inst Technol Dayton OH USA

ISBN: (纸本)9798350316971

Scheduling distributed machine learning pipelines in edge environments is a growing area of research as developers work to bring large, high-accuracy models to relatively low-powered devices. Edge environment dynamics, such as device availability and connectivity, make distributed scheduling a more challenging problem than in traditional cloud environments. Existing approaches usually require significant a priori knowledge of the environment and make assumptions about model availability, both of which are impractical in real edge deployments. We address this problem by proposing a simple and efficient reverse auction algorithm, where a device that wants to distribute a large machine learning workload requests bids from available resources in the environment to construct connected pipelines. We implement our reverse auction scheduling on an existing distributed machine learning pipeline framework and perform an empirical evaluation using a real distributed edge computing testbed. We prove that scheduling distributed pipelines without repeating devices is an NP-complete problem, but that finding good latency or throughput pipelines is tractable for fixed device orderings.

关键词： reverse auctions deep learning large model inference pipeline parallelism edge devices dynamic environments

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A Novel Approach to Feature Extraction in MI - Based BCI Systems 8

A Novel Approach to Feature Extraction in MI - Based BCI Sys...

引用

8th IEEE international conference on Computational System and Information Technology for Sustainable Solutions, CSITSS 2024

作者： Arun Kumar, S. Anand, L. Kannur, Anil School of Computing Srm Institute of Science and Technology Department of Computer Science and Engineering Tamil Nadu Kattankulathur India School of Computing Srm Institute of Science and Technology Department of Networking and Communications Tamil Nadu Kattankulathur India BLDEA'S V.P. Dr. P.G. Halakatti College of Engineering and Technology Department of Computer Science and Engineering Vijayapura India

ISBN: (纸本)9798331505462

Brain-computer interfaces based on motor imagery (MI-BCI) enable communication between the brain and the outside world. It accomplishes this by capturing and examining the EEG data generated when a person visualizes moving a certain limb. Based on this investigation;to enhance categorization precision, we enhance the attribute extraction process. Once the EEG signals have been pre-processed and deconstructed into distinct bands of frequencies, we apply similar spatial algorithms for every sub-band. After that, we use Blind Source Separation (BSS) and spatial filter techniques to extract attributes directly from the sources of the brain instead of only from channels. Ultimately, by choosing the most relevant attributes as inputs for the categorization stage, we distinguish between the envisioned movements. To assess our recommended approach, we utilized data set IVa from the BCI competition III. the outcomes from diverse experiments indicate that the system achieves an average accuracy of 98.8%, with 100% sensitivity across all subjects. these results illustrate that the suggested approach effectively improves MI-based BCI. © 2024 IEEE.

关键词： Blind source separation

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An NFT-based distributed Auction Mechanism for Multi-Resource Trading in computing Power Network 8

An NFT-based Distributed Auction Mechanism for Multi-Resourc...

引用

8th IEEE international conference on Computer and Communications, ICCC 2022

作者： Han, Lu Xie, Renchao Ren, Yuzheng Yu, F. Richard Huang, Tao Beijing University of Posts and Telecommunications State Key Lab. of Networking and Switching Technology Beijing China Carleton University Depart. of Systems and Computer Eng. OttawaON Canada

ISBN: (纸本)9781665450515

As a recently proposed network architecture, the computing power network (CPN) combines the ability of end, edge, cloud computing, and transmission network to realize the flexible and efficient scheduling and transaction of ubiquitous multi-resources, such as computing, cache, communications, and intelligent models. However, in CPN, multi-resources are deployed in a distributed manner. So, efficient, reliable and distributed resource transaction solutions are sought. therefore, in this paper, we propose a non-fungible token (NFT)-based resource transaction scheme for CPN. We use NFT to tokenize and describe multi-resources by metadata to enable applications to network multi-resources efficiently and ensure transaction se-curity. Also, we formulate the trading utility of sellers and buyers and present a trusted trading process. To improve the system efficiency by increasing the matching success rate and simplify the complexity of combinatorial resources matching, we design the decision and pricing policy by distributed double auction mechanism. Simulation results demonstrate the effectiveness of the proposed scheme. © 2022 IEEE.

关键词： computing power

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An identity-based message authentication scheme for Internet of vehicles 8

An identity-based message authentication scheme for Internet...

引用

8th IEEE international conference on Big Data Security on Cloud, 8th IEEE international conference on High Performance and Smart computing, and 8th IEEE international conference on Intelligent Data and Security, BigDataSecurity/HPSC/IDS 2022

作者： Yan, Chenyang Wang, Hongshuo Yan, Songsong QILU Institute of Technology School of Computing Science and Information Engineering Jinan China The University of Nottingham Nottingham United Kingdom School of Computing Science and Information Engineering Jinan China

ISBN: (纸本)9781665480697

the Internet of Vehicles realizes information sharing through the interconnection between entities such as vehicles and vehicles, vehicles and roads. As the computing tasks of vehicles become more and more complex, the data load of traditional cloud computing centers also increases. If a large amount of data generated by the vehicle is all uploaded to the cloud server, and the data is processed by the cloud computing center, it will increase the burden on the cloud server. In order to reduce the request time in the vehicle and reduce the data transmission delay, edge computing is introduced, and an identity-based vehicle networking message authentication scheme in the edge computing scenario is designed to realize the rational use of computing and storage resources. the scheme satisfies unlinkability, unforgeability, identity privacy protection, and anti-replay attack. © 2022 IEEE.

关键词： Edge computing

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Securing software defined networking in cloud infrastructure through transport layer security 24

Securing software defined networking in cloud infrastructure...

引用

8th international conference on Cloud and Big Data computing, ICCBDC 2024

作者： Jalali, Majid Reed, Martin J. School of Computer Science and Electronic Engineering University of Essex Colchester United Kingdom

ISBN: (纸本)9798400717253

Cloud and big data applications increasingly rely on the softwarization of underlying infrastructure to achieve highly flexible reconfiguration. Software Defined networking (SDN) stands as a vital component, offering centralized control and efficient orchestration of network resources. this paper underscores the critical importance of security within cloud and big data environments and highlights SDNs role in this context, particularly through the implementation of Transport Layer Security (TLS) encryption. TLS establishes secure communication channels between SDN controllers and switches. While prior studies have noted potential latency impacts of TLS, this paper presents contrasting findings within the context of SDN switches widely used in cloud infrastructure. through a comprehensive examination, this study shows the pivotal role TLS plays in fortifying the integrity and security of SDN communications. Technical insights into TLS integration, its impact on performance, and practical case studies offer valuable guidance for enhancing the security of SDN networks which play a key role in cloud infrastructures and big data applications. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Cloud security

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Trustless layer for secure fog computing 23

Trustless layer for secure fog computing

引用

8th international conference on Cyber Security and Information Engineering, ICCSIE 2023

作者： Li, Wen Command and Control Engineering College Army Engineering University of PLA Nanjing Jiangsu210007 China

ISBN: (纸本)9798400708800

Fog computing composes of neighboring devices, which are connected as cluster to collect and compute data via given algorithms. Compared with cloud computing, it collects and processes data at the edge of device layer, instead of remote data transmission and task scheduling. Fog computing reduces the communication and computation overhead in networking and data aggregating, while preserves data privacy against the cloud center. However, due to the different devices capacities, trust relations, security settings, the concerns are that, if the given data is real and sufficient for analyzing program as input, whether the data processing is done as appointed, and how to prevent secret leakage during the computation. this paper proposes a trustless layer for secure data computing in fog network, where the function accepts "hidden"data as input and generates zero-knowledge computing proof which can be easily verified by public. the combination of secure computing functions and blockchain systems escort trustful business in fog environment. © 2023 ACM.

关键词： Fog computing

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