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Electric Power Multi-Source Heterogeneous Data Fusion Model Based on Edge computing 7

Electric Power Multi-Source Heterogeneous Data Fusion Model ...

引用

7th international conference on Advanced Algorithms and Control Engineering, ICAACE 2024

作者： Fan, Pengzhan Dai, Feng He, Yu Zhang, Ze Zhu, Hongming State Grid Corporation Of China Beijing100032 China State Grid Jiangsu Electric Power Co. LTD Nanjing210000 China Jiangsu Electric Power Information Technology Co. Ltd Nanjing210000 China

ISBN: (纸本)9798350361445

Based on the electric power big data network system, this article conducts a comprehensive analysis of the current application status of electric power big data technology, and deeply discusses the research work on the electric power data information processing system with multi-source heterogeneous data fusion technology as the core, with a view to providing technology for relevant personnel in the electric power system. The classic data fusion method Kalman filter algorithm is improved, and an event-driven distributed Kalman filter algorithm is proposed. This algorithm adds an event determination strategy in the process of data processing and transfer between sensor nodes, controls the number of communications between nodes in an event-driven manner, and at the same time reduces redundant data and data affected by noise through algorithm processing, while ensuring data quality, improving the fusion efficiency. Finally, by comparing it with the conventional distributed Kalman filter algorithm, the effectiveness of the algorithm was verified through experimental simulation. © 2024 IEEE.

关键词： Big data

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Automatic Generation of distributed-Memory Mappings for Tensor Computations 23

Automatic Generation of Distributed-Memory Mappings for Tens...

引用

2023 international conference for High Performance computing, Networking, Storage and Analysis, SC 2023

作者： Kong, Martin Abu Yosef, Raneem Rountev, Atanas Sadayappan, P. Ohio State University Columbus United States University of Utah Salt Lake City United States

ISBN: (纸本)9798400701092

While considerable research has been directed at automatic parallelization for shared-memory platforms, little progress has been made in automatic parallelization schemes for distributed-memory systems. We introduce an innovative approach to automatically produce distributed-memory parallel code for an important subclass of affine tensor computations common to Coupled Cluster (CC) electronic structure methods, neuro-imaging applications, and deep learning *** propose a novel systematic approach to modeling the relations and trade-offs of mapping computations and data onto multidimensional grids of homogeneous nodes. Our formulation explores the space of computation and data distributions across processor grids. Tensor programs are modeled as a non-linear symbolic formulation accounting for the volume of data communication and per-node capacity constraints induced under specific mappings. Solutions are found, iteratively, using the Z3 SMT solver, and used to automatically generate efficient MPI code. Our evaluation demonstrates the effectiveness of our approach over distributed-Memory Pluto and the Cyclops Tensor Framework. © 2023 Owner/Author(s).

关键词： Tensors

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FLEXLOG: A Shared Log for Stateful Serverless computing 23

FLEXLOG: A Shared Log for Stateful Serverless Computing

引用

32nd international Symposium on High-Performance parallel and distributed computing (HPDC) part of the ACM Federated computing Research conference (FCRC)

作者： Giantsidi, Dimitra Giortamis, Emmanouil Tornow, Nathaniel Dinu, Florin Bhatotia, Pramod Univ Edinburgh Edinburgh Midlothian Scotland Tech Univ Munich Munich Germany Huawei Munich Res Ctr Munich Germany

ISBN: (纸本)9798400701559

Stateful serverless applications need to persist their state and data. The existing approach is to store the data in general purpose storage systems. However, these approaches are not designed to meet the demands of serverless applications in terms of consistency, fault tolerance and performance. We present FlexLog, a storage system, specifically a distributed sharedlog, distinctively designedtomeet the requirements of stateful serverless computing while mitigating the relevant system bottlenecks. FlexLog's data layer leverages the state-of-the-art persistent memory (PM) to offer low latency I/O and improve performance. To match the performance, FlexLog's ordering layer employs a scalable design, namely a tree-structure set of sequencer nodes. Importantly, this design provides serverless applications with the flexibility to implement different consistency guarantees and to seamlessly support multi-tenancy configurations. We implement FlexLog from the ground up on a real hardware testbed and we also prove the correctness of our protocols. In particular, we evaluate FlexLog on a cluster of 6 machines with 800 GB Intel Optane DC PM over a 10 Gbps interconnect. Our evaluation shows that FlexLog scales to millions of operations per second while maintaining minimal latency. Our comparison with the state-of-the-art shared log for serverless, Boki, shows that we achieve 10x better throughput in the storage layer and 2x-4x lower latency in the ordering layer, while also providing flexibility to support different consistency properties and multi-tenancy.

关键词： Serverless computing Shared distributed Log Persistent Memory

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Optimization of Medium Voltage Distribution Network by Incorporating Additional Loads and Embedded Generation 29

Optimization of Medium Voltage Distribution Network by Incor...

引用

29th international conference on Automation and computing (ICAC)

作者： Olanrewaju, Folashade Juliana Thanasingh, Maria Jenisha Charles Al-Greer, Maher Teesside Univ Sch Comp Engn & Digital Technol Middlesbrough Cleveland England

ISBN: (纸本)9798350360882;9798350360899

This study focuses on optimizing a medium-voltage distribution network with nine busbars and a low-voltage network with six busbars, considering various load conditions and the integration of embedded generators, particularly photovoltaic (PV) systems and electric vehicle (EV) charging stations. The analysis includes scenarios with maximum and minimum loads, as well as the incorporation of additional loads and renewable energy sources. By employing IPSA software for simulations and assessments, the study evaluates the distribution network's performance comprehensively. It identifies areas for enhancement and proposes strategies such as reactive power compensation, parallel transmission lines, and onload tap changers to address observed inefficiencies. The outcomes of the study reveal substantial improvements in system stability, efficiency, and reliability. These findings underscore the significance of proactive planning and the adoption of innovative solutions in optimizing power distribution networks. By embracing such approaches, utilities and stakeholders can better adapt to evolving energy landscapes, enhance grid resilience, and foster sustainable energy practices. This research underscores the vital role of strategic planning and technological innovation in advancing the performance and adaptability of power distribution networks in the face of evolving energy demands and environmental imperatives.

关键词： High Voltage (HV) Medium Voltage (MV) Low Voltage (LV) Flexible AC Transmission Systems (FACTS) Photovoltaic (PV) Electric Vehicles (EVs) vehicle-to-grid (V2G) Per Unit (pu) Mechanically switched capacitors (MSCs) Static Var Compensator (SVC)

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ARCHITECTURE OF ADVANCED DISTRIBUTION grid VOLTAGE CONTROL METHOD UTILIZING EDGE computing SOLUTION 27

ARCHITECTURE OF ADVANCED DISTRIBUTION GRID VOLTAGE CONTROL M...

引用

27th international conference on Electricity Distribution, CIRED 2023

作者： Repo, Sami Supponen, Antti Ruuth, Kalle Rosenørn, Kenneth Møller, Michael Tampere University Finland Green Power Denmark Denmark RAH A/S Denmark

ISBN: (纸本)9781839539596

Advanced voltage control methods have been developed during the recent years to increase the grid hosting capacity for distributed generation (DG), electric vehicles (EV), heat pumps (HP), etc. to be connected to weak distribution grids. One of such method was realized as hierarchical control architecture of primary, secondary, and tertiary controllers based on edge computing solution and demonstrated in a real-life distribution grid as a closed-loop demonstration in Denmark during year 2021. The generalized demonstration experiences and the proposed voltage control solution is critically analysed in the paper. © The Institution of Engineering and Technology 2023.

关键词： Edge computing

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Towards Optimizing Cost and Performance for parallel Workloads in Cloud computing 15

Towards Optimizing Cost and Performance for Parallel Workloa...

引用

15th international conference on Cloud computing and Services Science, CLOSER 2025

作者： Maas, William Rossi, Fábio Diniz Luizelli, Marcelo C. Navaux, Philippe O.A. Lorenzon, Arthur F. Institute of Informatics Federal University of Rio Grande do Sul Brazil Federal Institute Farroupilha Campus Alegrete Brazil Federal University of Pampa Campus Alegrete Brazil

ISBN: (纸本)9789897587474

The growing popularity of data-intensive applications in cloud computing necessitates a cost-effective approach to harnessing distributed processing capabilities. However, the wide variety of instance types and configurations available can lead to substantial costs if not selected based on the parallel workload requirements, such as CPU and memory usage and thread scalability. This situation underscores the need for scalable and economical infrastructure that effectively balances parallel workloads’ performance and expenses. To tackle this issue, this paper comprehensively analyzes performance, costs, and trade-offs across 18 parallel workloads utilizing 52 high-performance computing (HPC) optimized instances from three leading cloud providers. Our findings reveal that no single instance type can simultaneously offer the best performance and the lowest costs across all workloads. Instances that excel in performance do not always provide the best cost efficiency, while the most affordable options often struggle to deliver adequate performance. Moreover, we demonstrate that by customizing instance selection to meet the specific needs of each workload, users can achieve up to 81.2% higher performance and reduce costs by 95.5% compared to using a single instance type for every workload. Copyright © 2025 by SCITEPRESS - Science and Technology Publications, Lda.

关键词： parallel processing systems

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Research on distributed Cooperative Storage Methods for Massive Data in the Context of Intelligent Sensing in Converter Station 24

Research on Distributed Cooperative Storage Methods for Mass...

引用

2024 2nd international conference on Internet of Things and Cloud computing Technology, IoTCCT 2024

作者： Wang, Yufeng Li, Yi Li, Xuewu Ye, Lu Ren, Shijie Guiyang Bureau EHV Power Transmission Company China Southern Power Grid Co. Ltd. Guiyang China School of Computer Science Chengdu University of Information Technology Chengdu China

ISBN: (纸本)9798400710148

In the context of converter stations, given the massive amount of heterogeneous data generated and the urgent need for reliability in supporting users' electricity demands, how can we improve data storage efficiency and data retrieval efficiency in a big data environment? Traditional distributed storage solutions have limited performance. Although they can meet the storage needs of data centers, they fail to effectively balance high-efficiency task allocation and intelligent storage perception (such as the rational selection of node storage solutions). The purpose of this invention is to provide a distributed collaborative storage solution for massive data, applied in the intelligent perception scenarios of converter stations. By implementing data perception of heterogeneous data, and after achieving core functions such as data fusion and integration, multimodal data processing, real-time perception, and decisionmaking, it realizes data segmentation and data replication during the pre-computation phase. In the current distributed environment, it dynamically perceives the computational power of node states, thereby enabling the most efficient distributed storage of data. This dynamic adaptability helps optimize task allocation, ensuring the best possible performance for handling large-scale heterogeneous data across various storage nodes. The solution ultimately aims to bridge the gap between traditional storage mechanisms and the complex demands of modern intelligent systems in converter stations, focusing on both high-efficiency storage management and intelligent, real-time data processing capabilities. © 2024 Copyright held by the owner/author(s).

关键词： Storage efficiency

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Towards Reliability Enhancement of Multi-factor Authentication Service in EV Charging System under Budget Constraint 22

Towards Reliability Enhancement of Multi-factor Authenticati...

引用

22nd IEEE international Symposium on parallel and distributed Processing with Applications, ISPA 2024

作者： Li, Yao Yang, Tianlin Han, Qingwen Li, Sha Zhao, Yongsheng Ma, Hongyue Si, Gang State Grid Smart Internet Of Vehicles Co. Ltd Beijing China State Grid Information & Telecommunication Group Co. Ltd. Beijing China State Grid Tianjin Electric Power Co. Ltd Tianjin China

ISBN: (纸本)9798331509712

Multi-factor authentication (MFA) service in the electric vehicle (EV) charging system aims to strengthen the security of both the charging system provider and EV users. However, the reliability of MFA service directly affects MFA' security capability. The MFA service comprises at least two microservices, each of which is responsible for handling the verification of an authentication factor. Each microservice's failure will lead to the MFA service failure. Applying redundant backups can enhance the reliability of a microservice and then improve the reliability of MFA service. However, more redundant backups always incur more expense, but donot always mean the increasing reliability. This paper considers the MFA service of a realistic EV charging system and aims to explore the application of deep reinforcement learning (DRL) techniques to enhance the MFA Service Reliability (MFASR) under budget constraints. We first conduct the quantitative analysis of MFASR and also derive the formula to calculate the authentication service reliability. Then we establish the backup server deployment process as a Markov decision process (MDP). Finally, we propose two DRL-based algorithms to tackle the MDP. Extensive simulation results demonstrate that (i) our algorithms can maximize MFASR within a limited budget compared to baseline algorithms, and (ii) DQN-based algorithm performs better than PPO-based algorithm. © 2024 IEEE.

关键词： State of charge

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Improving the MPI Remote Memory Access Model for distributed-memory Systems by Implementing One-sided Broadcast 27

Improving the MPI Remote Memory Access Model for Distributed...

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27th international conference on Soft computing and Measurements, SCM 2024

作者： Abuelsoud, Mohamed Paznikov, Aleksej A. Saint Petersburg Electrotechnical University 'LETI' Department of Computer Science and Engineering Saint Petersburg Russia

ISBN: (纸本)9798350363708

Currently, processing large volumes of expanding data efficiently and consistently is a significant challenge. Traditional distributed-memory high-performance computers (HPC) based on message-passing model struggle with inherent synchronization difficulties, limiting their ability to keep pace. Remote Memory Access (RMA, also known as one-sided MPI communications) allows a process to directly read from or write to the memory of another process, bypassing the need for message exchange. Unfortunately, there is no collective operation interface in the current MPI RMA standard. However, RMA has the potential to reduce synchronization costs by enabling concurrent access to shared data structures, distributed among MPI processes' memories. Existing onesided MPI standards offer a linear interface only that hampers parallelization and far from efficient. To bridge this gap, we propose an algorithm design for efficient collective (parallelizable) operations in the RMA paradigm. Our study primarily examines the benefits of collective operations using the broadcast algorithm as an example. Our implementations surpass traditional methods, demonstrating the promising potential of this technique, as more performance tests indicate. © 2024 IEEE.

关键词： parallel programming

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A comparative study of discrete wavelet transforms in islanding detection of single-phase grid-connected photovoltaic system 4

A comparative study of discrete wavelet transforms in island...

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4th international conference on Emerging Systems and Intelligent computing, ESIC 2024

作者： Panda, B. Sankalp, S. Behera, S. Veer Surendra Sai University of Technology Department of Electrical and Electronics Engineering Odisha Burla768018 India

ISBN: (纸本)9798350349856

Single-phase photovoltaic (PV) systems are the major population of distributed generation adopted by domestic and small commercial consumers. The research contributions on islanding detection for PV systems are mostly for three-phase systems. Passive islanding detection from local signals also suffers from non-detection. Here a single-phase grid-connected PV system is simulated in MATLAB/Simulink. Different discrete wavelet transforms (DWT) signal processing technique is implemented on signals from the model. The wavelet coefficients are analyzed to select a feature. The cases of load variation and irradiation changes are studied. The wavelet type and decomposition level are comparatively studied for different DWT methods. The study concludes with an appropriate feature for the time localization of the islanding condition which is a computationally fast method, reduces non-detection and is suitable in real-time. © 2024 IEEE.

关键词： Discrete wavelet transforms

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