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Inter-actions parallel execution on GPU from high-level dataflow synthesis 55

Inter-actions parallel execution on GPU from high-level data...

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55th Asilomar conference on Signals, Systems and Computers, ACSSC 2021

作者： Bloch, Aurelien Casale-Brunet, Simone Mattavelli, Marco École Polytechnique Fédérale de Lausanne EPFL SCI-STI-MM Lausanne Switzerland

ISBN: (纸本)9781665458283

Recent GPU architectures make available numbers of parallel processing units that exceed by orders of magnitude the ones offered by CPU architectures. Whereas programs written using dataflow programming languages are well suited for programming heterogeneous systems, they might not offer sufficient parallel degrees to efficiently exploit the resources available on today's GPUs. This paper describes how the extension of a dataflow-based approach for the synthesis of programs to be executed on mixed CPU and GPU architectures can increase the parallelism of executions on GPU. The extended approach consists of a new methodology for scheduling, in parallel, the execution of actors' actions that uses the hardware resources available on modern GPU more efficiently. This is possible without imposing any limitation on the dataflow model of computation (MoC) of the network, all fully dynamic MoCs are supported. The paper also introduces relevant features of recent NVidia GPUs used by this approach and describes how they are used to allow dynamic reconfiguration of the execution which dynamically reconfigure the level of parallelism of actual actor execution. The paper also justifies and explains the necessity for a specially designed FIFO buffer that both preserve the dataflow computational model, and enables full parallel data accesses. © 2021 ieee.

关键词： Dynamic programming

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Efficient Resource Management for Secure and Low-Latency O-RAN Communication

Efficient Resource Management for Secure and Low-Latency O-R...

引用

ieee conference on Wireless Communications and networking

作者： Zaineh Abughazzah Emna Baccour Ahmed Refaey Amr Mohamed Mounir Hamdi College of Engineering Qatar University Doha Qatar College of Science and Engineering Hamad Bin Khalifa University Qatar Foundation Doha Qatar School of Engineering University of Guelph Guelph Ontario Canada

ISBN: (数字)9798350368369

ISBN: (纸本)9798350368376

open Radio Access networks (O-RAN) are transforming telecommunications by shifting from centralized to distributed architectures, promoting flexibility, interoperability, and innovation through open interfaces and multi-vendor environments. However, O-RAN's reliance on cloud-based architecture and enhanced observability introduces significant security and resource management challenges. Efficient resource management is crucial for secure and reliable communication in O-RAN, within the resource-constrained environment and heterogeneity of requirements, where multiple User Equipment (UE) and O-RAN Radio Units (O-RUs) coexist. This paper develops a framework to manage these aspects, ensuring each O-RU is associated with UEs based on their communication channel qualities and computational resources, and selecting appropriate encryption algorithms to safeguard data confidentiality, integrity, and authentication. A Multi-objective Optimization Problem (MOP) is formulated to minimize latency and maximize security within resource constraints. Different approaches are proposed to relax the complexity of the problem and achieve near-optimal performance, facilitating tradeoffs between latency, security, and solution complexity. Simulation results demonstrate that the proposed approaches are close enough to the optimal solution, proving that our approach is both effective and efficient.

关键词： Simulation open RAN Computer architecture Encryption Complexity theory Telecommunications Resource management Security Telecommunication network reliability Optimization

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Research on Simulation System of Intelligent network Technology in Energy Management of New Energy Vehicles

Research on Simulation System of Intelligent Network Technol...

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Electronic Technology, Communication and Information (ICETCI), ieee International conference on

作者： Kaixuan Zhang Lihua Fan Automotive Data of China Co. Ltd Tianjin China

ISBN: (数字)9798350361643

ISBN: (纸本)9798350361650

This paper develops IC&NEV simulation software based on UML object-oriented programming, Builder design pattern, MATLAB, PostgreSQL and SuMO. By using Python program, the road network document data is preprocessed and the road network GIS database is established. Builder provides the Director with an abstract interface for building a product that allows the Director to hide the appearance and structure of a particular product. The simulation program developed in this paper can provide help for the research of optimal control of integrated circuits and dynamic systems of new energy vehicles. Using abstract syntactic expression, the information transfer between TCP/IP interfaces is realized. The iec61499 compliant controller acts as a data server, while the separate GridlAB-D object acts as a client. In addition, based on the open and closed design ideas of UML, this system not only has the function of secondary development, but also is very suitable for the research of multi-vehicle coordination control. The road network model is generated by using openStreetMap editor and JOSM. Compared with manual modeling, this method is faster and more consistent with the actual road network.

关键词： Roads Object oriented modeling Unified modeling language Optimal control TCPIP Syntactics Software

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PathSec: Path-Aware Secure Routing with Native Path Verification and Auditability

PathSec: Path-Aware Secure Routing with Native Path Verifica...

引用

ieee conference on network Function Virtualization and Software Defined networks (NFV-SDN)

作者： Magnos Martinello Roberta Lima Gomes Everson S. Borges Henrique Coutinho Layber Vitor B. Bonella Cristina K. Dominicini Rafael Guimarães Moisés Ribeiro Marinho Barcellos Department of Informatics Federal University of Espírito Santo Brazil Department of Informatics Federal Institute of Espírito Santo Brazil Department of Informatics University of Waikato New Zealand

ISBN: (数字)9798350380538

ISBN: (纸本)9798350380545

Selecting and verifying network paths for packet flows are fundamental for creating secure and efficient network architectures. These processes are essential for detecting and addressing anomalies, misconfigurations, or malicious activities, yet they remain challenging to implement effectively, even within a single administrative domain. To support a secure routing framework, it is necessary to: (i) select specific paths for packet flows, enabling "path awareness"; (ii) verify that packets follow the specified routes, ensuring adherence to the routing promise; and (iii) maintain tamper-proof audit records of path verification data. This paper introduces a novel path-aware secure routing approach based on Residue Number System (RNS) primitives, which enables both native path verification and auditability. Our method employs a lightweight multi-signature scheme built on simplified hash chain signatures, leveraging RNS-based native routing mechanisms. These signatures, which provide proofs of packet forwarding, are verified and recorded on a blockchain to ensure data integrity and prevent unauthorised tampering. A P4-based prototype demonstrates that our solution represents a viable hardware implementation for modern programmable switches.

关键词： Multiprotocol label switching Prototypes programming Routing Regulation Hardware Blockchains network function virtualization Security Software defined networking

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SOP Planning of Power Distribution System Based on Source-load Cluster Division

SOP Planning of Power Distribution System Based on Source-lo...

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Power Science and Technology (ICPST), ieee International conference on

作者： Tao Li Xinghang Weng Baojun Xu Changhao He Rui Qin Yanhe Yin Yihan Sun Shaohan Lu Zhongshan Power Supply Bureau Guangdong Power Grid Co. Ltd Zhongshan China Power Grid Planning Center Guangdong Power Grid Co. Ltd. Guangzhou China The School of Electrical and Information Engineering Tianjin University Tianjin China

ISBN: (数字)9798350349030

ISBN: (纸本)9798350349047

A robust planning model based on source-load cluster division is proposed to address the limitations of the current soft open point (SOP) in replacing only the alternative positions of the tie switches and the dimension disaster caused by arbitrary access node planning. This model is used to optimize the selection of soft switch access positions and capacities in the distribution network. Firstly, a comprehensive cluster division method for multi-objective distribution network is proposed, considering modularity, intra-cluster net power fluctuation, and net power peak fluctuation. Secondly, based on the cluster division, a robust planning model for soft switch distribution is established, with the objective of minimizing the annual comprehensive cost of the distribution network. Thirdly, the second-order cone programming model is transformed into a mixed-integer linear programming model using techniques such as equivalent substitution, polyhedral linearization, and Big-M method. The column and constraint generation algorithm (C&CG) is used to solve the proposed model. Finally, a case study of the distribution system of Taiwan Power Company (TPC) is used to validate the effectiveness of the proposed model, ensuring the economic feasibility of the distribution network planning and construction scheme. According to the calculations, the proposed method can reduce the O&M costs of the distribution system by 23.6% compared to the scenario without planning. Meanwhile, compared to the traditional planning method, the proposed method can reduce the cost of distribution system planning by 5.23%.

关键词： Costs Fluctuations Uncertainty Soft switching Power distribution Distribution networks programming

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The Cattle Rut Behavior Detection Base on AI Deep Neural network

The Cattle Rut Behavior Detection Base on AI Deep Neural Net...

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2022 International conference on Power, Energy and Innovations, ICPEI 2022

作者： Phaechaiyaphum, Phatsarut Konghuayrob, Poom School of Engineering King Mongkut's Institute of Technology Ladkrabang Bangkok10520 Thailand

ISBN: (数字)9781665460194

ISBN: (纸本)9781665460194

This paper proposes an application model of camera object detection to observe the cattle rut through its pose. This research is based on deep neural network method along with transfer learning technique. This paper employs four different deep convolutional neural network architectures 1) SSD Mobile-Net V2 2) SSD ResNet 101 V1 FPN 3) YOLOv5s and 4) Mask R-CNN. All the network mentioned above are pre-trained on COCO dataset. To observe the cattle rut behavior, the images of cattle behavior were taken in natural open environment, the data obtained are split into training and testing datasets. In this research cattle behaviors are categorized mainly in two classes, (1) normal behavior and (2) the cattle rut behavior. The result obtained after training the models shows that the YOLOv5s model obtained the highest mean average precision which is 95.5% and least training time. Thus, this paper proposes that YOLOv5s model can be applied to detect the cattle behavior for precise artificial breeding in order to increase the cattle population in farm to serve higher consumption demand in the near future. © 2022 ieee.

关键词： Object detection

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A Generalized Portfolio network Architecture to Improve Financial Prediction Model Leveraging Differentiable Layer

A Generalized Portfolio Network Architecture to Improve Fina...

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ieee Advanced Information Management,Communicates,Electronic and Automation Control conference (IMCEC)

作者： Yucheng Chen Jifeng Sun Chang Liu Jianwu Lin Weijian Chen Tsinghua University

ISBN: (数字)9798350316537

ISBN: (纸本)9798350316544

In quantitative finance, the standard approach involves predicting stock returns to optimize asset allocation, aiming to maximize returns and minimize risks. This predict-then-optimize method traditionally focuses on minimizing prediction errors and optimizing a risk-adjusted objective function. Such a dichotomy often leads to suboptimal outcomes due to the misalignment between prediction and optimization goals [1]. In response to these challenges, while end-to-end deep portfolio architectures [2] – [4] have been proposed, their "black box" nature often fails to adapt to rapidly changing market conditions, resulting in inefficiencies and non-explainable outcomes [5].This paper introduces a novel network architecture that aligns the goals of minimizing prediction error with optimizing allocation by integrating a differentiable optimization layer [6]. We applied this architecture to Qlib, an AI-oriented quantitative investment platform, to simulate market environments and perform rigorous backtesting. Our results show significant enhancements in key financial metrics such as cumulative returns and average risk-adjusted objective values, surpassing traditional two-stage ***, we conducted portfolio experiments during the COVID-19 period to emphasize the importance of dynamic constraint adjustment in portfolio optimization and demonstrate our model’s effectiveness compared to end-to-end models.

关键词： COVID-19 Training Finance Predictive models network architecture Linear programming Resource management

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Novel Deep Learning network architectures for Time Series Forecasting

Novel Deep Learning Network Architectures for Time Series Fo...

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Paradigm Shift in Information Technologies with Innovative Applications in Global Scenario (ICPSITIAGS), ieee International conference on

作者： Jitendra Kumar Katariya Dhananjay Yadav Gayathri C Vikas K. Kolekar Umesh M. Daivagna V. Pushparajesh Department of Computer Science & Application Vivekananda Global University Jaipur India Maharishi School of Engineering and Technology Maharishi University of Information Technology UP India Department of Science and Humanities Prince Shri Venkateshwara Padmavathy Engineering College Chennai Department of Computer Engineering Vishwakarma Institute of Information Technology Pune INDIA Department of uGDX ATLAS SkillTech University Mumbai Maharastra India Department of Electrical and Electronics Engineering Faculty of Engineering and Technology Bangalore Karnataka

ISBN: (数字)9798350329773

ISBN: (纸本)9798350329780

This paper presents novel deep-learning network architectures for time series forecasting. First, a singular deep gaining knowledge of network architecture is proposed and tested for the usage of the Google tendencies dataset as a benchmark. The proposed structure combines 1-dimensional convolution neural networks, recurrent neural networks, and long-term cells to seize and study lengthy-term styles in the time series information. The structure is compared to current deep getting-to-know architectures and is shown to outperform them in phrases of accuracy. Moreover, the proposed structure is applied to a secondary time collection dataset, the COVID-19 confirmed infection dataset, to attain compelling effects. Eventually, an open-source implementation of the proposed architecture is made available for use in addition to research.

关键词： Knowledge engineering Deep learning Recurrent neural networks Time series analysis network architecture Internet Forecasting

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open Source 5G Core network Implementations: A Qualitative and Quantitative Analysis

Open Source 5G Core Network Implementations: A Qualitative a...

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International Black Sea conference on Communications and networking (BlackSeaCom)

作者： Rekha Reddy Michael Gundall Christoph Lipps Hans Dieter Schotten Intelligent Networks Research Group German Research Center for Artificial Intelligence Kaiserslautern Institute for Wireless Communication and Navigation RPTU Kaiserslautern-Landau Kaiserslautern

Beyond 5G and 6G systems provide significant advances in network architectural design and deployment with the ever-increasing connected devices. In order to address the tremendous growth of cellular traffic, both hard- and software are facing increased scalability and flexibility requirements. Therefore, a comparative study on open-source 5G core network implementations is conducted that includes qualitative as well as quantitative requirements. While the qualitative comparison is based on licensing, programming language, deployment possibilities, and relevance, the qualitative metrics are resource utilization and the Round Trip Time experienced by end-user devices. In order to evaluate these metrics, each of the open-source projects is deployed as service based architecture in a virtual machine/container-based infrastructure. The results indicate implementation benefits and the trade-off between load consumption and latency evaluation.

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Managing API Evolution in Microservice Architecture

Managing API Evolution in Microservice Architecture

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International conference on Software Engineering - Companion, ICSE, Companion

作者： Alexander Lercher University of Klagenfurt Austria

ISBN: (数字)9798400705021

ISBN: (纸本)9798350351781

Nowadays, many software systems are split into loosely coupled microservices only communicating via Application programming Interfaces (APIs) to improve maintainability, scalability, and fault tolerance. However, the loose coupling between microservices provides no immediate feedback on breaking API changes, and con-suming services break or exhibit unexpected behavior only after the first actual call to the changed API. Hence, development teams must actively identify and communicate all breaking changes to affected teams to stay compatible. This research addresses this problem with three contributions. First, we identified API evolution strategies and open challenges in practice with an explorative study. Based on the study findings, we formulated two open research directions for evolving publicly accessible APIs, i.e., REpresentational State Transfer (REST) APIs. As the second contribution, we will introduce a REST API change extraction approach to improve the change no-tification accuracy. We plan experiments on open-source projects to evaluate our approach's accuracy and compare it to openapi-diff for structural changes. Third, we plan to investigate methods for automating communication with affected teams, which will then improve the change notification reliability. Finally, we will evaluate the accuracy and reliability of our notifications with a user study.

关键词： Accuracy Scalability Fault tolerant systems Microservice architectures Software systems Reliability engineering Software reliability

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