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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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advanced Adaptive Traffic Management System for Urban Environments 3

Advanced Adaptive Traffic Management System for Urban Enviro...

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3rd international conference on Intelligent Data communication technologies and Internet of Things, IDCIoT 2025

作者： Sai Srujan Reddy, P. Naveen Raj, B.U. Jose, Nikhil Tom Belwal, Meena Department of Computer Science and Engineering Amrita School of Computing Amrita Viswa Vidhyapeetham Bengaluru India

ISBN: (纸本)9798331527549

Urban traffic congestion is still a major problem that causes delays, collisions, and wasteful use of resources. Conventional fixed-schedule systems, which frequently exacerbate problems at junctions, U-turns, and pedestrian crossings, are insufficient for dynamic traffic situations. The Smart Dynamic Traffic Management System described in this work makes use of servo motors, proximity sensors and ultrasonic sensors, Arduino microcontrollers, and AI-powered cameras. To improve safety and streamline traffic flow, the system prioritizes emergency vehicles, controls U-turns, dynamically modifies traffic signals based on real-time data, and monitors road conditions. Scalability and adaptability for a range of urban scenarios are ensured by the integration of IoT technology and intelligent intercommunication between crossings. A visualization tool based on Pygame was used to simulate and assess the suggested solution. The findings showed that traffic flow had significantly improved, with an average increase in the exit-to-entry ratio of 30.71% for the three roadways. More specifically, traffic on Road A decreased by 15.28%, on Road B decreased by 31.25% and on Road C decreased by 45.61%. The outcomes confirm just how well the system works for reducing traffic and giving priorities to critical traffic situations, such as emergency response and turning. This system uniquely integrates real-time adaptive traffic control algorithms with IoT and machine learning to dynamically prioritize traffic flow and emergency vehicles, overcoming the limitations of existing static systems. © 2025 IEEE.

关键词： Traffic congestion

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

Proceedings of the 15th International Conference on Cloud Co...

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

ISBN: (纸本)9789897587474

The proceedings contain 28 papers. The topics discussed include: performance and usability implications of multiplatform and WebAssembly containers;operations patterns for hybrid quantum applications;optimization of cloud-native application execution over the edge cloud continuum enabled by DVFS;energy-aware node selection for cloud-based parallel workloads with machine learning and infrastructure as code;security-aware allocation of replicated data in distributed storage systems;performance analysis of mdx ii: a next-generation cloud platform for cross-disciplinary data science research;data orchestration platform for AI workflows execution across computing continuum;framework for decentralized data strategies in virtual banking: navigating scalability, innovation, and regulatory challenges in Thailand;and anomaly detection for partially observable container systems based on architecture profiling.

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Hive Destruction Protocol: An Automated Defense System Utilizing YOLO Human Recognition and Real-Time GPS Tracking 3

Hive Destruction Protocol: An Automated Defense System Utili...

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3rd international conference on Intelligent and Innovative technologies in computing, Electrical and Electronics, IITCEE 2025

作者： Vyshak, T.M. Gaayana, G.R. Sarala, T. Dept. of Electronics and Communication Engineering Bnm Institute of Technology Affiliated to Vtu Bengaluru India

ISBN: (数字)9798331515911

ISBN: (纸本)9798331515911

The Hive Destruction Protocol (HDP) introduces a cutting-edge automated border defense system that enhances security operations through advanced human recognition using YOLO, precise GPS tracking, and coordinated drone responses. Soldiers are equipped with camera-integrated spectacles that facilitate the rapid identification of enemy targets via visual cues and hand gestures. Upon confirming a target, the system transmits accurate GPS coordinates in real time to autonomous drones, which are deployed to neutralize threats from multiple angles, creating confusion and minimizing detection risk. To ensure reliability and real-time processing in dynamic environments, HDP employs optimized communication protocols for secure data exchange between ground personnel and drones, allowing for seamless coordination among multiple units, each capable of independently engaging identified threats based on shared GPS data. The integration of machine learning algorithms improves the system even more flexible to changing field conditions, improving detection accuracy and robustness under various environmental constraints. Overall, the Hive Destruction Protocol represents a forward-thinking solution for border defense, leveraging artificial intelligence and automation to provide proactive and responsive capabilities in critical security applications. © 2025 IEEE.

关键词： Target drones

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Autonomous Indoor Navigation using Nav2 3

Autonomous Indoor Navigation using Nav2

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3rd international conference on Intelligent Data communication technologies and Internet of Things, IDCIoT 2025

作者： Sumathi, K. Ajay Balaji, L. Danaraj, A.P. Deepaganesh, M. Department of Electronics and Communication Engineering KIT-KalaignarKarunanidhi Institute of Technology Coimbatore India

ISBN: (数字)9798331527549

ISBN: (纸本)9798331527549

The project focuses on the design, development, and implementation of an Autonomous Mobile Robot (AMR) system specifically tailored for warehouse environments. The escalating demand for efficient warehouse management, driven by the e-commerce boom, necessitates the adoption of automated solutions to overcome challenges like labor shortages and operational inefficiencies. The proposed AMR system integrates advanced sensing technologies, including 2D LiDAR and IMU, with robust navigation and control algorithms to enable the robot to autonomously navigate through dynamic warehouse environments. The core of the system is built upon the ROS 2 framework, providing a robust and flexible platform for development and deployment. The project explores the implementation of Simultaneous Localization and Mapping (SLAM) techniques, utilizing the SLAM Toolbox, to enable the robot to build and update maps of its environment while simultaneously determining its position. Furthermore, the system incorporates advanced path planning algorithms and obstacle avoidance mechanisms to ensure safe and efficient navigation. The project utilizes Gazebo for realistic simulation and validation, allowing for thorough testing and optimization of the AMR system before real-world deployment. This research aims to contribute to the advancement of warehouse automation by developing a cost-effective and efficient AMR system that can significantly improve operational efficiency and productivity. © 2025 IEEE.

关键词： Motion planning

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Performance analysis of 6T SRAM in different technologies using FinFET process 3

Performance analysis of 6T SRAM in different technologies us...

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3rd international conference on Intelligent and Innovative technologies in computing, Electrical and Electronics, IITCEE 2025

作者： Nayana, D.K. Deepthi Murthy, T.S. Hegde, Nayana Reva University School of Electronics and Communication Engineering Karnataka Bangalore India

ISBN: (纸本)9798331515911

Static Random Access Memory (SRAM) is an essential component of contemporary system-on-a-chip (SoC) devices and processors. To achieve high density, SRAM bit cells must be built using ever-tinier components. This study looks at the design and operation of a 6T SRAM cell at many technology nodes, from 180 nm down to 18 nm (Fin Field-Effect Transistor) FinFET (Complementary Metal-Oxide-Semiconductor) CMOS. It looks into how scale affects stability, process variation tolerance, soft mistakes, and device aging. Significant difficulties are seen at smaller nodes, such as heightened vulnerability to soft mistakes and decreased stability as a result of process variances and aging devices. The report also emphasizes how FinFET CMOS technology has advanced to 18 nm, resolving certain scaling problems with earlier nodes. SRAM cells gain from increased density as technology advances, but they also confront significant stability and reliability issues. In order to guarantee the lifetime and continuous performance of SRAM in cutting-edge semiconductor technologies, future research should concentrate on reducing these problems. © 2025 IEEE.

关键词： CMOS integrated circuits

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A Game Theory-based Reverse Vickrey Auction for Dynamic Pricing in Edge computing 3

A Game Theory-based Reverse Vickrey Auction for Dynamic Pric...

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3rd international conference on Intelligent Data communication technologies and Internet of Things, IDCIoT 2025

作者： Rasane, Atharva Tapale, Manisha Dept. Computer Science and Engineering KLE Technological University’s Dr. M. S. Sheshgiri College Belagavi India

ISBN: (纸本)9798331527549

Low-latency communication is critical for effectively functioning Internet of Things (IoT) systems, including applications in healthcare monitoring, industrial automation, and smart cities. However, the vast number of IoT Devices often overwhelms cloud providers, necessitating the adoption of edge computing to reduce latency and distribute computational load. This paper introduces a novel dynamic pricing mechanism for edge computing based on a reverse Vickrey auction, leveraging game theory to balance competitive pricing with profitability for Edge Servers. We develop utility functions for both IoT Devices and Edge Servers, optimizing the markup to maximize edge server utility while adhering to the budget constraints of IoT Devices. Simulations were conducted with 10 Edge Servers and 50 IoT Devices over 2,000 time units. Results show that the proposed mechanism significantly reduces wait times, with most tasks completed within 10-time units. Moreover, dynamic pricing increases Edge Server profits by up to 10 times in some instances compared to fixed markup approaches. Notably, one server’s total profit rose from 7,702 to 76,130 and another from 57,965 to 94,298, underscoring the enhanced profitability and utilization. These findings confirm that our reverse Vickrey auction strategy effectively balances low-latency demand with sustainable operational revenue for Edge Servers, offering a robust and scalable solution for edge-centric IoT environments. © 2025 IEEE.

关键词： Budget control

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Research on dynamic network security detection technology based on SDN 4

Research on dynamic network security detection technology ba...

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4th international conference on Network communication and Information Security, ICNCIS 2024

作者： Zhao, Kai Beijing Polytechnic Beijing100176 China

ISBN: (数字)9781510688261

ISBN: (纸本)9781510688254

Traditional network architecture can no longer meet the development needs of technologies such as cloud computing and big data. SDN network architecture has the characteristics of high openness and programmability, which can quickly respond to changes in business requirements. SDN decouples the control management function of the network from the data forwarding function, simplifies network configuration work based on logic centralized controllers and open programming interfaces, thereby achieving a flat management mode and flexible data forwarding function. The centralized control and programmability of SDN networks also pose significant security threats to SDN. Based on the CSE-CIC-IDS2018 dataset, this article tests the performance of various intelligent learning algorithms, analyzes data flows, distinguishes normal data from abnormal data, improves detection accuracy, and has practical significance for the security defense of SDN networks. © 2025 SPIE.

关键词： Network security Computer security Network architectures control systems Machine learning Data transmission Defense and security Detection and tracking algorithms Information security Security technologies

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A Sensor-Driven Automated Hydroponic System for Optimized Plant Growth in Diverse Environments 3

A Sensor-Driven Automated Hydroponic System for Optimized Pl...

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3rd international conference on Intelligent and Innovative technologies in computing, Electrical and Electronics, IITCEE 2025

作者： Joshitha, C. Ranga, Bobba Pandu Reddy, Bandi Harshini Nitin Koneru Lakshmaiah Education Foundation Department of Electronics and Communication Engineering Telangana Hyderabad500075 India

ISBN: (纸本)9798331515911

This research paper presents the design and implementation of an automated hydroponic system capable of managing both closed and open setups in indoor and outdoor environments. The system integrates sensors and microcontrollers to monitor, control, and display key parameters like temperature, humidity, Total Dissolved Solids (TDS) in the nutrient solution, water level, and pH. Through automated monitoring and control, it reduces the need for human intervention, ensuring optimal growth conditions and continuous plant health. The project is driven by the vision of enabling agriculture in any environment, regardless of geographical constraints. Hydroponics, a soil-less method of growing plants, forms the core of the system, allowing for cultivation beyond traditional soil-based farming. By applying these techniques, the system aims to overcome the limitations of conventional agriculture, enabling the growth of various plant species in diverse locations. Through the integration of microcontrollers and sensors, this automated hydroponic system ensures continuous monitoring and precise control of environmental conditions, significantly reducing the need for manual intervention. This research contributes to the advancement of agricultural technology by providing a sustainable solution to enhance food production while addressing the challenges faced by traditional farming. By leveraging automation and sensor technology, the system optimizes resource usage, reduces environmental impact, and empowers individuals to cultivate crops with minimal expertise. © 2025 IEEE.

关键词： Hydroponics

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Research and Design of AIS Reception Signal Processing System Based on GNU Radio 27

Research and Design of AIS Reception Signal Processing Syste...

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27th international conference on advanced communications Technology, ICACT 2025

作者： Zhou, Zijiao Gong, Peng Tang, Bin He, Piao Peng, Xiuming Zhang, Guangwei National Key Laboratory of Mechatronic Engineering and Control School of Mechatronical Engineering Beijing Institute of Technology Beijing China

ISBN: (纸本)9791188428137

The Automatic Identification System (AIS), as a standard communication and navigation device for ships, plays a significant role in ensuring the safety and efficiency of maritime traffic. The accuracy of the AIS receiver’s signal processing directly affects the bit error rate (BER) and packet error rate (PER) of the AIS system, drawing considerable attention to AIS signal reception and processing technologies. Current research on AIS reception signals mainly focuses on custom implementations using hardware platforms like FPGAs;however, the high cost of hardware implementation has become a limiting factor in the development of AIS signal processing technologies. Therefore, this paper designs an AIS reception signal processing system based on GNU Radio, developing demodulation algorithm and NRZI decoding modules, and testing them with typical demodulation algorithms. Experimental results demonstrate the feasibility and effectiveness of the designed reception signal processing system. Copyright 2025 Global IT Research Institute (GIRI). All rights reserved.

关键词： Decoding

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