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检索条件"任意字段=International Conference on Parallel Distributed and Grid Computing"

共 34256 条记录，以下是491-500 订阅

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GraVAC: Adaptive Compression for Communication-Efficient distributed DL Training 16

GraVAC: Adaptive Compression for Communication-Efficient Dis...

引用

IEEE 16th international conference on Cloud computing (IEEE CLOUD)

作者： Tyagi, Sahil Swany, Martin Indiana Univ Bloomington IN 47405 USA

ISBN: (纸本)9798350304817

distributed data-parallel (DDP) training improves overall application throughput as multiple devices train on a subset of data and aggregate updates to produce a globally shared model. The periodic synchronization at each iteration incurs considerable overhead, exacerbated by the increasing size and complexity of state-of-the-art neural networks. Although many gradient compression techniques propose to reduce communication cost, the ideal compression factor that leads to maximum speedup or minimum data exchange remains an open-ended problem since it varies with the quality of compression, model size and structure, hardware, network topology and bandwidth. We propose GraVAC, a framework to dynamically adjust compression factor throughout training by evaluating model progress and assessing gradient information loss associated with compression. GraVAC works in an online, black-box manner without any prior assumptions about a model or its hyperparameters, while achieving the same or better accuracy than dense SGD (i.e., no compression) in the same number of iterations/epochs. As opposed to using a static compression factor, GraVAC reduces end-to-end training time for ResNet101, VGG16 and LSTM by 4.32x, 1.95x and 6.67x respectively. Compared to other adaptive schemes, our framework provides 1.94x to 5.63x overall speedup.

关键词： deep learning data-parallel training gradient compression sparsification adaptive systems

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Research on intelligent operation and maintenance system of distributed photovoltaic power station based on Internet of Things technology

Research on intelligent operation and maintenance system of ...

引用

2024 international conference on Generative Artificial Intelligence and Information Security, GAIIS 2024

作者： Zhang, Xuyang Ni, Li Zhu, Hang Shen, Jialu Wang, Lei State Grid Shengzhou Electric Power Supply Company Zhejiang Shengzhou312400 China State Grid Shaoxing Power Supply Company Texs University Zhejiang312099 China

ISBN: (纸本)9798400709562

With the rapid development of renewable energy, especially solar energy, distributed photovoltaic power plants have become a crucial component of energy transition. In order to improve the operational efficiency and reduce maintenance costs of photovoltaic power plants, this paper proposes an IoT-based intelligent operation and maintenance system for distributed photovoltaic power plants. The system integrates advanced sensor networks, cloud computing, big data analysis, and artificial intelligence technologies to achieve real-time monitoring, fault prediction, performance optimization, and automated maintenance decision-making for photovoltaic power plants. Through a series of experiments, this paper validates the effectiveness of the proposed system in improving the operational efficiency of photovoltaic power plants, ensuring stable system operation, and optimizing energy output. Furthermore, this research explores the application challenges and strategies of IoT technology in the operation and maintenance of photovoltaic power plants, providing new perspectives and methods for the intelligent management and maintenance of photovoltaic power plants. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Big data

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A Unified Graph Framework for Storage-Compute Coupled Cluster and High-Density computing Cluster

A Unified Graph Framework for Storage-Compute Coupled Cluste...

引用

2024 international Workshop on Big Data in Emergent distributed Environments, BIDEDE 2024, in conjunction with the 2024 ACM SIGMOD/PODS conference

作者： Lin, Lynsey Chen, Jamie Sun, Ricky Zhang, Jason Wang, Victor Ultipa Inc United States

ISBN: (纸本)9798400706790

In this paper, we present a novel unified framework that seamlessly integrates distributed computing and high-density graph computing. Our approach leverages a hybrid architecture that combines the strengths of both paradigms, enabling efficient graph traversal and computation while ensuring scalability and flexibility. The key contributions of our work include: 1. A distributed graph storage and partitioning strategy that maximizes data locality and minimizes cross-machine communication overhead. 2. A high-density graph computing cluster optimized for memory-efficient operations and parallel execution. 3. Query optimization, include partition pruning, network optimization, parallel processing, and predicate pushdown. 4. Two approaches for implementing Pregel for graph-wide algorithms: a shard-based SCC (Storage-Compute Coupling) implementation and an HDC (High-Density computing) based implementation. Our unified framework addresses the critical challenges faced by contemporary graph databases and analytics frameworks, providing a robust and versatile solution tailored to the diverse requirements of modern graph-based applications. Copyright © 2024 held by the owner/author(s). Publication rights licensed to ACM.

关键词： Graph Databases

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UCloudStack - A Private Cloud Platform for Lightweight Delivery 7

UCloudStack - A Private Cloud Platform for Lightweight Deliv...

引用

7th IEEE international conference on Smart Cloud, SmartCloud 2022

作者： Peng, Xingyu Song, Yilun Yuan, Kangjian Guo, Xu Lu, Zhihui Liu, Jie UCloud Technology Co. Ltd Shanghai China Fudan University School of Computer Science Shanghai China

ISBN: (数字)9781665451796

ISBN: (纸本)9781665451796

Cloud computing is a relatively mature business computing model, which is gradually developed from technologies such as distributed computing, parallel processing, and grid computing. Similarly, with the continuous emergence of cloud computing applications, people's understanding of cloud computing is also constantly changing. This paper designs a private cloud platform called 'UCloudStack' based on cloud computing technology. The platform can provide a complete set of cloud resource management capabilities such as unified management of core services such as virtualization, SDN network, and distributed storage, resource scheduling, monitoring logs, and operation and maintenance, helping the digital transformation of government and enterprises. © 2022 IEEE.

关键词： grid computing

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Methods of increasing data reliability based on distributed and parallel technologies based on blockchain

Methods of increasing data reliability based on distributed ...

引用

international conference on Artificial Intelligence, Blockchain, computing and Security, ICABCS 2023

作者： Makhmadiyarovich, Nazarov Fayzullo Sherzodjon, Yarmatov Samarkand State University named after Sharof Rashidov Samarkand Uzbekistan

ISBN: (纸本)9781032669663

This article examines directions and mechanisms for increasing data reliability in computer networks. Currently, the rapid development of information technologies, the rapid growth of data flow, high-quality data processing carried out in network technologies, and the increase in the volume of data lead to an increase in the problem of data reliability. It is an urgent issue to find solutions based on the use of modern technologies to solve these problems. The simultaneous processing of various types of data in information systems, video, audio, text and digital data, creates big data. The variety of data types in bigdata creates the problem of quality data processing, which greatly affects the reliability of the data. Research shows that breaches of data integrity mainly manifest in three directions. In this case, there is a violation of the reliability of interrelated data in data transmission and storage, in the processing of large volumes of data and in the transcription of video data. It is created due to errors created during data transmission based on artificial and natural redundancy. To solve the mentioned problems, increasing data reliability based on blockchain mechanisms for payment systems in data transmission, increasing data reliability based on error minimization mechanisms in video information systems, and distributed computing and parallel mechanisms in large-scale information systems based on methods of increasing data reliability are researched. © 2024, CRC Press/Balkema. All rights reserved.

关键词： Information systems

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Analysis of Offloading Computation in Mobile Edge computing (MEC): A Survey 7

Analysis of Offloading Computation in Mobile Edge Computing ...

引用

7th international conference on parallel, distributed and grid computing, PDGC 2022

作者： Sharma, Aarti Diwaker, Chander Nadiyan, Mamtesh University Institute of Engineering and Technology Computer Science and Engineering Kurukshetra India National Institute of Technology Computer Science and Engineering Kurukshetra India

ISBN: (纸本)9781665454018

Smartphones have made resource-intensive mobile applications indispensable in everyday life. To meet predetermined requirements and lighten the weight of such challenges brought on by the swift expansion of such serving technologies, distributed mobile edge computing (MEC) was developed to bring compute environments closer to end-users, frequently in a single step. To bridge the gap between the two, offloading techniques have been developed in the literature to shift resource-intensive tasks from mobile devices to nearby servers. There are many new concerns in the MEC context that make compute offloading problems more complex than ever before. These include the inherent software and hardware heterogeneity, constraints, ecosystem dynamics, and stochastic behaviour. The research also took into account a number of indicators relevant to computation offloading strategies in MEC. In this research, we provide a review of computation offloading strategies in the MEC setting in order to identify existing methods on this important topic and to raise unresolved challenges. The survey concludes with a case study illustrating MEC's applicability in the medical field. © 2022 IEEE.

关键词： Computation offloading

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A Cloud-Agnostic Serverless Architecture for distributed Machine Learning 11

A Cloud-Agnostic Serverless Architecture for Distributed Mac...

引用

11th IEEE/ACM international conference on Big Data computing, Applications and Technologies, BDCAT 2024

作者： Predoaia, Ionut Garcia-Lopez, Pedro University of York United Kingdom Universitat Rovira i Virgili Spain

ISBN: (纸本)9798350367300

Serverless computing has shown vast potential for big data analytics applications, especially involving machine learning algorithms. Nevertheless, little consideration has been given in the literature to cloud-agnostic serverless architectures that leverage existing parallel implementations of machine learning algorithms. This work bridges this gap by proposing a multicloud serverless architecture for distributed machine learning, that enables machine learning engineers without cloud computing expertise to effortlessly port already implemented parallel machine learning algorithms to serverless, whilst overcoming vendor lock-in. In this work, two stateful machine learning algorithms have been ported to serverless, k-means clustering and logistic regression. The serverless implementation of k-means provided superior performance and scalability compared to a serverful implementation when using a number of workers that is equal to or slightly lower than the total number of vCPUs available on the VM running the serverful implementation. Additionally, it achieved an 87-fold speedup compared to a sequential implementation. Moreover, two storage designs of the shared state will be proposed for the serverless implementations, one that requires locks for updating the shared state, and another that is lock-free. Our experimental evaluation demonstrates that the performance of the lock-free serverless implementation of k-means declines with the increase in the number of clusters. © 2024 IEEE.

关键词： Adversarial machine learning

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UAV-assisted Blockchain-based Electric Power grid Inspection System 15

UAV-assisted Blockchain-based Electric Power Grid Inspection...

引用

15th international conference on Cyber-Enabled distributed computing and Knowledge Discovery, CyberC 2023

作者： Li, Zhihu Zhao, Bing Guo, Hongxia Zhai, Feng Li, Lin China Electric Power Research Institute Department of Metrology Beijing China Jinan China

ISBN: (纸本)9798350308693

The socioeconomic development and welfare of communities are significantly reliant on a reliable power supply. Power grid inspections pose significant risks due to hazardous environments, such as high-voltage structures, and the challenges associated with personnel safety and data security. To address these issues, this paper proposes a robust identity authentication mechanism based on Physical Unclonable Functions (PUFs). Moreover, an electric power grid inspection system (ENIS) is presented that integrates blockchain technology and unmanned aerial vehicles (UAVs) to enhance power grid supervision and ensure the secure accumulation of data. Security analysis and experimental evaluations demonstrate the effectiveness of the ENIS in resisting malicious activities and meeting the requirements of power grid inspection in real world scenarios. © 2023 IEEE.

关键词： Inspection

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Research on the Fusion Method of distributed Photovoltaic Power Flow and Information Flow Based on HPLC 4

Research on the Fusion Method of Distributed Photovoltaic Po...

引用

4th international conference on Information Science, parallel and distributed Systems, ISPDS 2023

作者： Li, Bo Shi, Zhan Deng, Xiaozhi Yang, Zhihua Wang, Xiuzhu Electric Power Dispatching Control Center of Guangdong Power Grid Co. Ltd. Guangdong Guangzhou510600 China Guangdong Electric Power Communication Technology Co. Ltd. Guangdong Guangzhou510600 China

ISBN: (纸本)9798350337181

distributed photovoltaic systems are a recently developed form of distributed power generation that offer the benefits of being both environmentally friendly and highly *** power demand continues to rise and the importance of protecting the environment becomes more evident, increasing distributed photovoltaic capacity has become an important development direction. To enable the distributed photovoltaic power generation system to efficiently connect to the power grid, this paper proposes a distributed photovoltaic power flow and information flow fusion method based on power line carrier communication technology. Power line carrier communication is categorized based on voltage levels, while low voltage PLC technology is classified based on its frequency band characteristics, it is divided into broadband PLC and narrowband PLC. To address random signal errors caused by the noise characteristics of OFDM multi-carrier modulation technology, an anti-interference channel coding approach is proposed. Additionally, this study focuses on the preprocessing of distributed photovoltaic information transmitted to the main station through HPLC, including data cleaning, integration, conversion, and protocol adaptation techniques, and the data is mined and analyzed to improve the intelligent level of distributed photovoltaic access to the power grid. © 2023 IEEE.

关键词： Carrier transmission on power lines

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Research on security monitoring of distributed heterogeneous network environment based on microservice architecture

Research on security monitoring of distributed heterogeneous...

引用

2024 international conference on Cloud computing and Communication Engineering, CCCE 2024

作者： Wei, Wei Zhong, Ye Wang, Ce Wang, Xingchuan Long, Na Information Center of Guizhou Power Grid Co. Ltd Guizhou Guiyang550000 China

ISBN: (数字)9781510686717

ISBN: (纸本)9781510686700

In a distributed network environment, multiple mutually independent trust domains are formed between different enterprises. During network access, access requests for resources may come from local trust domains or from field trust domains. Therefore, when a user from a local trust domain accesses a resource from a foreign trust domain, or a user from a foreign trust domain accesses a resource from a local trust domain, it involves cross-trust domain authentication and session key negotiation. In this paper, we propose a distributed heterogeneous network environment security monitoring study based on microservice architecture, which collects and analyzes the horizontal traffic of microservices in real time to monitor the network performance. By collecting the virtual network packet capture data under the microservice architecture of the SouthNet cloud environment, the network communication quality between microservice applications is monitored and alerted in real time, and the network communication fault localization between microservice nodes is supported to assist in troubleshooting. The experimental results show that the distributed heterogeneous network environment security monitoring system based on microservice architecture can improve the flexibility, scalability and security of the system, which is applicable to the monitoring needs in different fields. © 2024 SPIE.

关键词： Network security Environmental monitoring Computer security Network architectures Clouds Analytical research Cloud computing Databases Environmental sensing Information security

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