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检索条件"任意字段=Proceedings of the 2019 International Communication Engineering and Cloud Computing Conference"

共 4932 条记录，以下是11-20 订阅

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1st international conference on Advanced Technologies in Intelligent Control, Environment, computing and communication engineering, ICATIECE 2019

1st International Conference on Advanced Technologies in Int...

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1st international conference on Advanced Technologies in Intelligent Control, Environment, computing and communication engineering, ICATIECE 2019

ISBN: (纸本)9781728104188

The proceedings contain 77 papers. The topics discussed include: a complete optimal solution for the wet garbage recycling plant in apartments cluster by radical multi-objective decision model;comparison of multilevel inverter using reverse voltage topology for multiple loads;intelligent error detection and advisory system for practitioners of music using audio signal processing and computing;fuzzified multi-objective transportation problem: a real coded genetic algorithm approach to the compromised near-to-optimal solution;energy efficient LED lighting design for horticulture;modified cluster based certificate blocking of misbehaving node in MANETs;and a collective study of data mining techniques for the big health data available from the electronic health records.

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A Systematic Literature Review on Dynamic Load Balancing Techniques in cloud computing Environment: Techniques, Challenges, and Future Prospects 2

A Systematic Literature Review on Dynamic Load Balancing Tec...

引用

2nd international conference on Machine Learning and Autonomous Systems, ICMLAS 2025

作者： Divya, B. Dhas, Anto Sahaya APJ Abdul Kalam Technological University Dept. of Computer Science & Engg. Kerala Thiruvananthapuram695016 India Vimal Jyothi Engineering College Chemperi670632 India Vimal Jyothi Engg. College Dept. of Electronics & Communication Engg. Kerala Chemperi670632 India

ISBN: (纸本)9798331505745

cloud computing is an effective sector that enables institutions and users to buy services based on their requirements. This mechanism provides distinct services including suitable access to web services, platforms for implementation, storage, and so on. In the cloud, load balancing is crucial for achieving optimal usage of resources, minimized response time, and highly advantageous gadget functionality. cloud providers find it hard to divide the workloads between the servers. Among the distinct complexities, the conventional approaches encounter is achieving equilibrium upon complexities with resilience and the cloud structure's unpredictability. A detailed survey on the hybridization of distinct models with cloud computing for improving the overall system functionality and load balancing is presented. This survey explores various models and their applications in high-performance cloud environments, emphasizing the advantages of combining deep learning techniques with cloud computing resources for load balancing. This review provides an analytical evaluation of current strategies that are used for improving the performance of cloud computing and managing load-balancing issues. Along with deep learning techniques, the optimization approaches used for fine-tuning the network parameters to improve the functionality of cloud computing and manage load-balancing are also explored. Various performance metrics used in the prior works to determine the model's efficacy are reviewed in this work. The survey is concluded with a discussion of the existing research gaps and opportunities for future exploration in the field of deep learning-driven cloud load balancing. © 2025 IEEE.

关键词： cloud computing Evaluation Measures Load Balancing Research Gaps and Challenges Simulation Environments Techniques Categorization

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Data Orchestration Platform for AI Workflows Execution Across computing Continuum 15

Data Orchestration Platform for AI Workflows Execution Acros...

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

作者： Arcas, Gabriel Ioan Cioara, Tudor Engineering and Data Solutions Department Bosch Engineering Center Cluj-Napoca Romania Computer Science Department Technical University of Cluj Napoca Romania

ISBN: (纸本)9789897587474

cloud AI technologies have emerged to exploit the vast amount of data produced by digitized activities. However, despite these advancements, they still face challenges in several areas, including data processing, achieving fast response times, and reducing latency. This paper proposes a data orchestration platform for AI workflows, considering the computing continuum setup. The edge layer of the platform focuses on immediate data collection, the fog layer provides intermediate processing, and the cloud layer manages long-term storage and complex data analysis. The orchestration platform incorporates the Lambda Architecture principles for flexibility in managing batch processing and real-time data streams, enabling effective management of large data volumes for AI workflows. The platform was used to manage an AI workflow dealing with the prediction of household energy consumption, showcasing how each layer supports different stages of the machine learning pipeline. The results are promising the models are being trained, validated, and deployed effectively, with reduced latency and use of computational resources. Copyright © 2025 by SCITEPRESS - Science and Technology Publications, Lda.

关键词： Data streams

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BACOA: Meta Heuristic Driven Hybrid Scheduling Algorithm for Improved Resource Allocation in cloud Environment

BACOA: Meta Heuristic Driven Hybrid Scheduling Algorithm for...

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2025 international conference on Multi-Agent Systems for Collaborative Intelligence, ICMSCI 2025

作者： Naveen, Yerukala Kasturi, Srinivasa Babu Ramya, Ch. Gayathri, Bandari Medishetti, Santhosh Kumar Mlr Institute of Technology T.S. Hyderabad India Nalla Narasimha Reddy Education Society's Group of Institutions T.S. Hyderabad India Cmr College of Engineering and Technology T.S. Hyderabad India

ISBN: (纸本)9798331509828

Energy-aware scheduling is a critical aspect of optimizing task execution in cloud computing environments, where efficient resource management can significantly reduce operational costs. This paper introduces the Butterfly Ant Colony Optimization Algorithm (BACOA), a novel hybrid approach designed to enhance local and global search capabilities. BACOA combines the exploratory strength of the Butterfly Optimization Algorithm (BOA) and the exploitation capabilities of Ant Colony Optimization (ACO) to minimize energy consumption, communication cost, and computation cost in Task Scheduling (TS). By balancing these parameters, BACOA achieves a more energy-efficient task scheduling process while reducing the overhead costs associated with communication and computation in cloud systems. Simulation results demonstrate that BACOA outperforms existing algorithms, achieving superior energy savings by 16%, and reduced communication cost and computation cost by 21.06% and 18% respectively, the proposed algorithm making it ideal for scalable cloud infrastructures. © 2025 IEEE.

关键词： Ant colony optimization

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The Evolution of cloud computing Towards a Vendor Agnostic Market Place Using the SKY CONTROL Framework 15

The Evolution of Cloud Computing Towards a Vendor Agnostic M...

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

作者： Cocos, Henry-Norbert Baun, Christian Kappes, Martin Frankfurt University of Applied Sciences Nibelungeplatz 1 Frankfurt am MainD-60318 Germany

ISBN: (纸本)9789897587474

Multi-cloud environments offer benefits like vendor diversification and resilience but pose challenges such as increased management complexity, lack of cost transparency, and compliance. This concept paper introduces SKY CONTROL, a vendor-agnostic framework for small and medium-sized enterprises (SMEs). SKY CONTROL integrates cost control and risk management into multi-cloud setups, providing static and dynamic resource analyses, a cost calculator, and risk assessment tools. By leveraging the Sky computing paradigm, SKY CONTROL simplifies resource orchestration and enhances security. This novel framework is the first implementation of the innovative Sky computing concept. It aims to improve cost efficiency, regulatory compliance, and strategic IT planning for SMEs, offering a unified approach to managing hybrid infrastructures. Copyright © 2025 by SCITEPRESS - Science and Technology Publications, Lda.

关键词： Risk management

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Optimization of cloud-Native Application Execution over the Edge-cloud Continuum Enabled by DVFS 15

Optimization of Cloud-Native Application Execution over the ...

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

作者： Kontos, Georgios Soumplis, Polyzois Varvarigos, Emmanouel National Technical University of Athens Athens Greece Institute of Communication and Computer Systems Athens Greece

ISBN: (纸本)9789897587474

Microservice-based application architecture, despite its many merits - including enhanced flexibility, scalability and robustness-, adds significant complexity to the application’s orchestration process. Complex execution paths emerge during runtime as the demands traverse the application’s graph within an edge-cloud topology. In this work, we leverage Dynamic Voltage and Frequency Scaling (DVFS) combined with the application’s structure-represented as a Directed Acyclic Graph (DAG)-to determine optimal configuration for each service. Our goal is to perform assignments that optimize the weighted combination of the application’s execution time (i.e., the resulting critical path’s length) and the total energy consumption, subject to node capacity and power constraints, the communication limits of the microservices, and the different frequency levels of the processing units. The problem is initially modeled as a Mixed Integer Linear Problem (MILP). To tackle its complexity, we segregate the problem into two closely related subproblems. The first is addressed by a genetic algorithm, while a best-fit heuristic algorithm obtains the final solution, leveraging the genetics’ decisions. Extensive simulations demonstrate the efficiency of the proposed mechanism by contrasting its results with two baseline policies, while highlighting the inherent trade-offs between performance and energy consumption. Copyright © 2025 by SCITEPRESS - Science and Technology Publications, Lda.

关键词： Genetic algorithms

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2025 IEEE 4th international conference on AI in Cybersecurity, ICAIC 2025

2025 IEEE 4th International Conference on AI in Cybersecurit...

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4th IEEE international conference on Artificial Intelligence in Cybersecurity, ICAIC 2025

ISBN: (纸本)9798331518882

The proceedings contain 65 papers. The topics discussed include: generative AI for automated security operations in cloud computing;silent speech interfaces: non-invasive neuromuscular signal processing for assistive communication;ai agents for cloud reliability: autonomous threat detection and mitigation aligned with site reliability engineering principles;building unique interactive, gamified practical exams for cybersecurity students;optimizing intrusion detection with hybrid deep learning models and data balancing techniques;blockchain technology and impacts on potential industries;artificial intelligence for cybersecurity: a state of the art;and proactive AI-driven cybersecurity for endangered language preservation: safeguarding the Suba linguistic corpus.

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Literature Review on cloud-Based Service-Oriented Architecture for IEC 61499 Distributed Control Systems 15

Literature Review on Cloud-Based Service-Oriented Architectu...

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

作者： Torres, Tomás Gonçalves, Gil Pinto, Rui Department of Informatics Engineering Faculty of Engineering University of Porto Porto Portugal SYSTEC ARISE Faculty of Engineering University of Porto Porto Portugal

ISBN: (纸本)9789897587474

The 4th Industrial Revolution has driven innovations in integrating Information Technologies (IT) with Operations Technologies (OT). This integration is essential for developing Cyber-Physical Production Systems (CPPS), which enhance distributed automation and optimize industrial production processes. The IEC 61499 standard facilitates this integration through its modularity, reusability, and interoperability, making it crucial for distributed control and system automation. Despite its advantages, IEC 61499’s application is predominantly at the Edge layer, limiting its functionality in higher layers such as the cloud. To address this gap, cloud-based Service-Oriented Architectures (SoA) have emerged as a key study area, offering modular, reusable, and scalable services extending beyond the Edge layer. This paper presents a comprehensive literature review focused on expanding the IEC 61499 applications to reconfigure CPPS, by integrating cloud layer services through SoA. The review highlights advancements, challenges, and future directions in achieving greater modularity, interoperability, scalability, and abstraction within distributed control systems. By synthesizing current research, this work provides insights into the potential enhancements of CPPS using a cloud-based SoA approach. Copyright © 2025 by SCITEPRESS - Science and Technology Publications, Lda.

关键词： Service oriented architecture (SOA)

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Application and optimization of networked battery maintenance mode in power system

Application and optimization of networked battery maintenanc...

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2024 international conference on Physics, Photonics, and Optical engineering, ICPPOE 2024

作者： Duan, Xuesong Zhang, Jinjia Li, Yuhao Li, Hongchao Wang, Wei State Grid Henan Electric Power Company State Grid Zhenping County Power Supply Company 474250 China

ISBN: (数字)9781510689121

ISBN: (纸本)9781510689114

Traditional battery maintenance methods have some problems, such as low efficiency, difficult to find potential problems in time and accurately, which affect the stability and reliability of power system. This paper studies the application and optimization of networked battery maintenance mode in power system. By integrating sensor technology, network communication and data analysis, this mode realizes real-time monitoring and maintenance automation of battery state. Aiming at the challenges of lack of real-time and accuracy, optimization strategies such as deploying 5G base stations, adopting advanced algorithms and machine learning technologies are proposed. In addition, a big data analysis platform based on cloud computing is built, and machine learning and data mining are used to predict battery performance decline, and intelligent maintenance algorithms are developed. Experiments show that this mode improves voltage stability, capacity retention and internal resistance control, reduces maintenance cost and improves efficiency. These achievements provide theoretical and practical guidance for the stable operation of power system and efficient maintenance of battery. © 2025 SPIE.

关键词： Batteries Data transmission Resistance Data analysis Data modeling Machine learning Telecommunications cloud computing Decision making Reliability

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IoT-Driven Smart Home Automation: A Comprehensive Approach with ESP32 and cloud Service 6

IoT-Driven Smart Home Automation: A Comprehensive Approach w...

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6th international conference on Mobile computing and Sustainable Informatics, ICMCSI 2025

作者： Shetty, Shravya Rao, Krishnaraj N.S. Darshini, Priya T. Neha, T.M. Souza, Sonia Maria D. Prajna, M. Dept. of AIML New Horizon College of Engineering Bengaluru India Dept. of ISE NMAM Nitte Karkala India Dept. of CSE St Joseph Engineering College Mangaluru India

ISBN: (纸本)9798331522667

The Internet of Things' quick development and widespread availability have made home automation a topic of interest. The study introduces an innovative smart home automation system utilizing IoT technology, featuring an ESP32 module as the central server and Wi-Fi for communication. By integrating sensors, switches, and a smartphone-based control interface through the Android IoT cloud platform, the system allows both manual and remote management of home appliances. Key benefits include real-time environmental monitoring, two-way control, and enhanced safety. Automation elements, such as a stepper motor for precise control of blinds, are also incorporated. The research demonstrates IoT's potential for enhancing home automation and sets the stage for future advancements in the field. © 2025 IEEE.

关键词： Stepping motors

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