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

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Cloud Telescope: A distributed architecture for capturing Internet Background Radiation 12

Cloud Telescope: A distributed architecture for capturing In...

引用

12th international conference on Cloud Networking (CloudNet)

作者： Bortoluzzi, Fabricio Irwin, Barry Beiler, Lucas Silvero Westphall, Carla Merkle Noroff Univ Coll Cyber Secur Programme Kristiansand Norway Univ Santa Catarina Postgrad Programme Comp Sci Florianopolis SC Brazil Rhodes Univ Dept Comp Sci Grahamstown South Africa Univ Vale Itajai Lab Embedded & Distributed Syst Itajai SC Brazil

ISBN: (纸本)9798350313062;9798350313079

Internet Background Radiation (IBR) comprises a range of unsolicited traffic directed towards Internet hosts. In general, this type of traffic is characterised by high levels of port scanning activity, malware propagation, application exploits, system misconfiguration and denial-of-service attacks. IBR capture is typically undertaken by a system termed a network telescope. This records unfiltered incoming internet traffic for a specific CIDR block in the form of a packet capture (PCAP) file for analysis. This work proposes a novel, cloud-native approach to capturing IBR by the deployment of an ephemeral and reproducible architecture, described as code, distributed across all regions of a cloud service provider. In this paper we discuss the technical and financial viability of using a fleet of small-sized compute instances, in a spot price auction model, to maximise platform collection, capillarity and duration. We also present an overview analysis of the primary characteristics of IBR as collected during a month long proof-of-concept experiment across 26 regions of a cloud service provider in May 2023. Our analysis discusses the aspects of the dataset in quantitative terms: traffic aggregation per protocol, top TCP and UDP ports, top radiation sources and radiation distribution per cloud region. We also provide an overview of the most relevant threats detected. Our results include a formalisation and validation of the cloud telescope, with the corresponding supporting architecture described in Terraform and Ansible. The aggregate dataset amounted to 2.2 GB, and 21.8 million packets. Composition by protocol was 78% TCP, 14% ICMP and 8% UDP.

关键词： Internet Background Radiation Network Telescope Cloud Telescope Cyber Threat Intelligence Cloud computing

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An Energy-Conscious Task Scheduling Algorithm for Minimizing Energy Consumption and Makespan in Heterogeneous distributed systems 19th

An Energy-Conscious Task Scheduling Algorithm for Minimizing...

引用

19th international conference on Advanced Intelligent computing Technology and Applications (ICIC)

作者： Hu, Wei Chen, Ziyu Wu, Jing Li, Haodi Zhang, Ping Wuhan Univ Sci & Technol Coll Comp Sci & Technol Wuhan Peoples R China Hubei Key Lab Intelligent Informat Proc & Real Ti Wuhan Peoples R China

ISBN: (纸本)9789819947546;9789819947553

Heterogeneous distributed systems have been widely used in the industrial field to address the demand for scalability and performance. However, with the increase in the number of computing nodes, the energy consumption of the system has sharply risen. Therefore, reducing energy consumption has become an important objective in the field of sustainable computing. To address this challenge, this paper proposes an energy-conscious scheduling algorithm based on heterogeneous computing systems for allocating and scheduling tasks with different priorities. The algorithm initializes the population based on the Earliest Finish Time (EFT) and processor allocation strategy and adopts the superior individual selection strategy to reduce the influence of inferior solutions. Additionally, the MECMA algorithm introduces a novel adaptive mutation operator to enhance the diversity of the population and accelerate the convergence speed. Simulation experiments have been conducted on a set of randomly generated tasks, and the experimental results have demonstrated the efficiency of the proposed algorithm. The proposed MECMA algorithm has significantly reduced energy consumption and shortened task completion time. The research results have great potential to contribute to the development of sustainable computing and the optimization of energy utilization in industrial fields.

关键词： Heterogeneous distributed systems Energy-conscious Energy consumption Scheduling algorithm

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Synthesis of Decoherence-Free Modes in Linear Quantum Passive systems via Robust Pole Placement

Synthesis of Decoherence-Free Modes in Linear Quantum Passiv...

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2024 ieee international conference on systems, Man, and Cybernetics, SMC 2024

作者： Miao, Zibo Pan, Yu Gao, Qing School of Mechanical Engineering and Automation Adaptive Robotics Harbin Institute of Technology Guangdong Key Laboratory of Intelligent Morphing Mechanisms Shenzhen518055 China The Institute of Cyber-Systems and Control College of Control Science and Engineering Zhejiang University State Key Laboratory of Industrial Control Technology Hangzhou310027 China The School of Automation Science and Electrical Engineering Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang University Beijing100191 China

ISBN: (纸本)9781665410205

In this paper we extend our previous research on coherent observer-based pole placement approach to study the synthesis of robust decoherence-free (DF) modes for linear quantum passive systems, which is aimed at preservation of quantum information. In particular, DF modes can be generated by placing the poles on the imaginary axis via a coherent feedback design scheme, and these modes can further be simultaneously made robust against perturbations to the system parameters by minimizing the condition number associated with imaginary poles. We develop explicit algebraic conditions for the existence of such a coherent quantum controller, with the corresponding deign procedure provided. Examples are given to illustrate the process of tuning the DF modes towards perfect robustness via the proposed pole placement technique. © 2024 ieee.

关键词： Poles

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Model Checking with Large Language Models - Initial Experiments and Future Directions 15

Model Checking with Large Language Models - Initial Experime...

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15th international conference on Information, Intelligence, systems and Applications, IISA 2024

作者： Batsakis, Sotiris Tachmazidis, Ilias Mantle, Matthew Papadakis, Nikolaos Antoniou, Grigoris Hellenic Mediterranean University Greece University of Huddersfield United Kingdom School of Computing and Engineering University of Huddersfield United Kingdom Leeds Beckett University United Kingdom

ISBN: (纸本)9798350368833

Large Language Models such as ChatGPT have risen in prominence recently leading to the need to analyse their strengths and limitations on various tasks. The objective of this work is to evaluate the performance of Large Language Models on Model Checking which is used extensively in various critical tasks such as software and hardware verification. © 2024 ieee.

关键词： Modeling languages

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Gorilla Troops Optimization Algorithm for Optimal Placement of EV Charging Station with DG on Power Network 6

Gorilla Troops Optimization Algorithm for Optimal Placement ...

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6th international conference on Contemporary computing and Informatics, IC3I 2023

作者： Pratap, Arvind Tiwari, Prabhakar Maurya, Rakesh M.M.M. University of Technology Department of Electrical Engineering Gorakhpur India SVNIT Department of Electrical Engineering Surat India

ISBN: (纸本)9798350304480

This paper employs a novel optimization approach for addressing the problem of optimal allocation of distributed Generators (DGs) with Electric Vehicle Charging Stations (EVCSs) on Radial Power Distribution Networks (RPDNs). In this paper, the goal of integrating distributed Generation (DG) is to mitigate the negative impacts of EVCS load on the RPDN. In this study, a nature-inspired Gorilla Troops Optimization Algorithm (GTOA) is utilized to determine the optimal placement, sizing, and power factor of distributed Generation (DG) units in conjunction with Electric Vehicle Charging Stations (EVCS) installation on the RPDN. The primary optimization objectives of this coordination approach are the minimization of power loss, reduction of voltage deviation, and enhancement of the voltage stability of the system. The effectiveness of the proposed approach is evaluated by considering various cases of DG placement with EVCSs on the RPDNs. Also, a comparative analysis is conducted to assess the effectiveness of the proposed method in comparison with Moth-flame optimization and ant lion optimizer algorithms. The results demonstrate that the GTOA provides superior solution quality compared to competing algorithms. © 2023 ieee.

关键词： distributed Generation EV Charging Stations Gorilla Troops Optimization Algorithm Power Loss minimization Voltage Profile

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Hybrid Multi-objective Harris-Hawks and Moth-Flame Optimization Algorithm for Efficient Task Offloading strategy in IoT-Based Fog computing Applications

Hybrid Multi-objective Harris-Hawks and Moth-Flame Optimizat...

引用

2024 international conference on Knowledge Engineering and Communication systems, ICKECS 2024

作者： Saranya, M. Pabitha, P. Department of Computer Science and Engineering Salem636308 India Anna University Department of Computer Technology MIT Campus Chennai Chromepet600044 India

ISBN: (纸本)9798350359688

In the domain of Internet of Things (IoT)-based fog computing, efficient task offloading strategies play a pivotal role in optimizing resource utilization and enhancing system performance. This work presents a novel approach, the Hybrid Multi-objective Harris-Hawks and Moth-Flame Optimization Algorithm (HMHMFOA), for addressing the task offloading optimization challenge in fog computing environments. The proposed approach combines the strengths of the Harris-Hawks Optimization (HHO) and Moth-Flame Optimization (MFO) algorithms to strike a balance between exploration and exploitation in the search space, resulting in faster convergence and higher-quality solutions. The hybridization method is precisely engineered to capitalize on the complementary characteristics of the two algorithms, resulting in improved optimization performance. Experimental evaluations of IoT-based fog computing scenarios show that the HMHMFOA outperforms baseline algorithms in terms of numerous optimization targets, such as latency minimization, energy efficiency, and resource usage. The results demonstrate the efficacy of the proposed approach in supporting efficient task offloading decision-making, hence contributing to the advancement of fog computing applications. This study paves the way for future research into hybrid optimization strategies geared to IoT-centric computing paradigms. © 2024 ieee.

关键词： Fog computing

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Research on Resource Optimization of distributed Photovoltaic Energy Storage systems 6

Research on Resource Optimization of Distributed Photovoltai...

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6th international conference on Electronic Engineering and Informatics, EEI 2024

作者： Hu, Zhonglin Luo, Biwen Cao, Zhuyang Shi, Qianqian Cao, Zhudong Ningbo Sanming Electric Power Development Co. Ltd Ningbo China Ningbo Guangyuan Technology Development Co. Ltd Ningbo China Ningbo Wangju Software Technology Co. Ltd Ningbo China Ningbo Dongent Intelligent Equipment Co. Ltd Ningbo China

ISBN: (纸本)9798350353594

This article conducts a thorough examination of the resource optimization challenge faced by energy storage and power generation systems in photovoltaic power stations. In the introductory section, it underscores the criticality of energy management systems in photovoltaic plants and examines the pivotal role played by photovoltaic energy storage and generation systems in contemporary energy supply. Following this, the article proposes a comprehensive resource optimization strategy tailored for photovoltaic energy storage and generation systems, constructing a detailed optimization model that encapsulates both objective functions and constraint conditions. Furthermore, it delves into the workings of photovoltaic power generation components and energy storage batteries within distributed power sources. In the subsequent system calculation and analysis section, the article provides an overview of the model's data, parameters, and optimization methods, outlining the frameworks used. It then presents simulation results, coupled with an in-depth analysis. Ultimately, these studies aim to offer both theoretical underpinnings and practical insights, facilitating the efficient management and cost-effective operation of photovoltaic power plants. © 2024 ieee.

关键词： Energy storage and power generation system Photovoltaic power station resource optimization

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Premenstrual Syndrome Detection Based on Granular computing and AI in Home Environment

Premenstrual Syndrome Detection Based on Granular Computing ...

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2024 ieee international conference on Big Data, BigData 2024

作者： Sosnowski, Lukasz Szymusik, Iwona Systems Research Institute Polish Academy of Sciences Newelska 6 Warsaw Poland Center of Postgraduate Medical Education Dep. of Obstetrics Perinatology and Neonatology Ceglowska 80 Warsaw Poland

ISBN: (纸本)9798350362480

Premenstrual syndrome affects women's daily functioning in various ways. The designed algorithm applied into mobile application is intended to support women's health by enabling a better understanding of the processes occurring in their bodies during the cycle and detecting the pattern with specific symptoms groups appearing cyclically. The input data comes from an application that collects information about the woman's health and symptoms. The AI algorithm determines the Information Granules and then analyzes them in terms of intensity and frequency of various symptom combinations. Ultimately determines the level of risk of PMS. © 2024 ieee.

关键词： Granular computing

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A Planning Model for distributed Resources and Hydrogen System Considering Network’s Enhancement 8

A Planning Model for Distributed Resources and Hydrogen Syst...

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8th ieee international Energy conference, ENERGYCON 2024

作者： Al-Bukhaytan, Adnan S. Asif, Muhammad Electrical Engineering Department King Fahd University of Petroleum and Minerals Dhahran31261 Saudi Arabia Architectural Engineering and Construction Management King Fahd University of Petroleum and Minerals Dhahran31261 Saudi Arabia Interdisciplinary Research Center for Renewable Energy and Power Systems King Fahd University of Petroleum and Minerals Dhahran31261 Saudi Arabia

ISBN: (纸本)9798350382150

This research develops a comprehensive planning model that integrates various distributed energy resources (DERs) to supply the load in a distribution network (DN) at optimal minimum costs. The DERs include renewable energy resources (RESs) such as photovoltaic systems (PV) and wind turbines (WT), thermal generators (TG), and battery energy storage systems (BESS). Moreover, hydrogen systems comprising components such as electrolyzers (ED), fuel cells (FC), and hydrogen storage (HS) are considered. Additionally, the DN is assumed to be grid-connected, allowing the distribution system operator (DSO) to buy the required electrical energy from the grid at hourly market prices. Moreover, the DN enhancement is also considered an option for the DSO. The main objective is to develop an optimization model that determines the optimal sizing and location of the DERs along with the selected lines to be upgraded, aiming to meet the load at the optimal minimum cost while maintaining DN constraints. The proposed model has been tested on a modified ieee-38 bus radial DN. Various case studies and sensitivity analyses were implemented to evaluate the effectiveness of the proposed model. ©2024 ieee.

关键词： Electric power distribution

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Energy Management for a Hybrid Microgrid in Islanded Modes and Grid Connected Modes 1

Energy Management for a Hybrid Microgrid in Islanded Modes a...

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1st ieee international conference on Smart Power Control and Renewable Energy, ICSPCRE 2024

作者： Chauhan, Shubham Singh Bharatee, Anindya Ray, Pravat Kumar National Institute of Technology Department of Electrical Engineering Rourkela India

ISBN: (纸本)9798350377002

The study suggests using a mix of renewable energy sources to power an AC-DC microgrid. This method may be used to power appliances that need either alternating current (AC) or direct current (DC). The most practical options are solar photovoltaics and wind power systems due to their minimal maintenance needs and ubiquitous availability. Because solar PV electricity is not able to produce consistent power due to changes in temperature and irradiance, a storage battery system is needed to satisfy power demands and maintain the integrity of hybrid microgridsThis method meets the varied power needs of various appliance types while enabling the effective use of renewable energy sources by merging DC and AC microgrid systems. Demand response and smart grid integration, as well as sophisticated energy management algorithms for real-time optimization, should be recent developments in microgrid power management systems. © 2024 ieee.

关键词： battery storage system distributed generations energy management Renewable energy sources

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