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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...

引用

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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Digital Twins for Sophisticated Laboratory automation for Energy Management and Security

Digital Twins for Sophisticated Laboratory Automation for En...

引用

2025 international conference on Computer, Electrical and communication Engineering, ICCECE 2025

作者： Madur, Parameshwar Bureti, Nischitha Rajeshkumar, Sutaria Jay Mangalraj, P. Gitam Dept of Cse Bengaluru India

ISBN: (纸本)9798331513894

The recent advancements in Digital Twin technologies and their transformative applications across various sectors bring in a new dimension to the Human Computer Interface Domain. Due to the immersive and interactive nature of the Digital Twin applications, we are emphasizing to utilize the advancement for laboratory automation and rehabilitation. The democratization of virtual reality, enabled by cost-effective headgear and the integration of Unity AR technology with the Internet of Things (IoT), has revolutionized the control of home appliances, making it an intuitive and immersive experience. We are proposing a model to control sophisticated laboratories' power supplies using digital twin technologies integrated with IoT. The Model encompasses a 2D system-based interaction, a Mixed Reality-based interaction, and a Hand Gesture-based interaction, all developed using the Unity Engine and the Leap Motion-SDK. The integration of IoT devices is achieved through NODEMCU, which toggles the status (ON/OFF) of the appliances upon receiving an HTTP request. This comprehensive exploration of the latest VR and AR technologies and their applications provides valuable insights for future research and development in the field. We have evaluated our proposed work quantitatively and qualitatively (through user experiences) and modernized. © 2025 IEEE.

关键词： Virtualization

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Architectural Elements of Decentralized Process Management Systems 22nd

Architectural Elements of Decentralized Process Management S...

引用

22nd international conference on Service Oriented computing

作者： Grunert, Kai Shoferi, Janis Joderi Gold, Lucas Rieder, Wolf Kuepper, Axel Tech Univ Berlin Serv Ctr Networking Berlin Germany

ISBN: (纸本)9789819608041;9789819608058

In a decentralized Process Management System, several process engines cooperate to execute a single process instance by using direct Machine-to-Machine communication and local coordination of the process flow. In this paper, we analyze the software architecture elements of a decentralized Process Management System. We explain the involved components, connectors, data, and the relationships between them. We also describe the state transitions of decentralized processes during execution.

关键词： decentralized Process Management System Distributed Process Engines Distributed and Heterogeneous Workflow Enactment Service Business Process Management System Process automation Process Execution System Process Engine

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A two-layer architecture-based teleoperation method for space robots under fixed time delay 3

A two-layer architecture-based teleoperation method for spac...

引用

2024 3rd international conference on Aerospace and control Engineering, ICoACE 2024

作者： Gao, Lei Lu, Jun School of Automation and Electrical Engineering Shenyang Ligong University Shenyang110159 China

In space teleoperation systems, the dynamics of controlled robots exhibit uncertainties, and communication involves time delays. To address these challenges, this paper proposes a bilateral controller based on a two-layer architecture: the master side employs a radial basis function (RBF) neural network-based sliding mode control, while the slave side uses a model-compensated PD control. The study investigates the teleoperation of a two-degree-of-freedom space robot under fixed time delay conditions. Independent communication channels connect each layer of the master and slave sides, allowing the separation of energy exchange information and control action information. The effectiveness of the proposed teleoperation control system is verified through simulations. © 2025 Institute of Physics Publishing. All rights reserved.

关键词： Radial basis function networks

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Knowledge-Defined Internet of Things Architecture for Cloud-Edge Collaborative Industrial Monitoring 24

Knowledge-Defined Internet of Things Architecture for Cloud-...

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2nd international conference on Frontiers of Intelligent Manufacturing and automation, CFIMA 2024

作者： Zhou, Hongyu Xing, Fangyuan Tong, Fei Wang, Mufeng Zhang, Yan Yang, Shuaifeng Southeast University Nanjing China China Industrial Control Systems Cyber Emergency Response Team Beijing China

ISBN: (纸本)9798400710681

The Industrial Internet of Things (IIoT) has become a crucial technology driving the transformation of manufacturing towards intelligence. Traditional industrial networks primarily focus on data collection, whereas emerging IIoT emphasizes intelligent management and optimized control utilizing advanced technologies such as big data and artificial intelligence. With the more complex application scenarios, sole reliance on cloud computing fails to meet requirements for low latency and high security, thus leading to a trend towards edge-cloud collaborative computing. Knowledge-Defined Networking (KDN) introduces a knowledge plane above the control and data planes, which utilizes machine learning and deep learning methods to extract and analyze data and can guide the control plane in updating and optimizing network management and control decisions. This architecture enables the system to understand domain knowledge, supports knowledge-based reasoning decisions, and facilitates higher-level intelligent applications. This paper proposes a Knowledge-Defined Edge-Cloud Collaborative IoT architecture tailored for industrial monitoring scenarios. Therein, the edge is responsible for initial real-time data processing, while the cloud handles large-scale data storage and complex analytics. Knowledge definition are introduced into the entire framework and enables a comprehensive understanding of equipment status through historical data analysis and real-time feedback, which facilitates predictive issue identification and optimization of production plans. The enabling technologies that can implement the functions of the knowledge-based cloud, knowledge-based edge, knowledge-based end, and interfaces are summarized, which are expected to provide guidance for future IIoT. © 2024 Copyright held by the owner/author(s).

关键词： Cloud computing architecture

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Development of Intelligent Operation and Maintenance and communication Devices for Distribution Network 13th

Development of Intelligent Operation and Maintenance and Com...

引用

13th international conference on Clean and Green Energy

作者： Zhong, Zhaobin Chen, Xiaojun Ye, Qing Zhang, Qiran Chen, Tao Chen, Junhong China Southern Power Grid Technol Co Ltd Guangzhou Peoples R China Guangdong Prov Key Lab New Technol Smart Grid Guangzhou Peoples R China

ISBN: (纸本)9789819618149;9789819618125;9789819618118

Distribution network automation equipment has been widely installed and used in the power grid, which plays a very important role in improving the reliability and quality of power supply. However, due to the wide range of distribution network automation equipment points, poor operating environment, and a large workload of inspection and maintenance of operating units, it is urgent to take the initiative to find defects through technical means, so as to warn and eliminate equipment defects and hidden dangers in advance, and achieve rapid fault location and isolation. In order to meet the requirements of transforming electric power network into digital, networked and intelligent new power system, an intelligent operation, maintenance and communication device of distribution network is proposed. The device supports wireless 5G, wired Ethernet, Bluetooth and other communication modes, and has a variety of communication interfaces such as RJ45, RS485 and RS232. It can adapt to various external devices according to application scenarios. The software supports intelligent operation and maintenance functions such as distribution network device status data collection, device defect management and control, and device local Bluetooth operation and maintenance, and supports IPSec tunnel encryption mode, which meets the intelligent operation and maintenance and encrypted communication requirements of distribution network automation devices, and effectively improves the digitalization and intelligent features of distribution network automation devices. The device has been tested by the third party testing organization and has high operating stability.

关键词： Distribution network communication devices Intelligent operation and maintenance

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AI-Based Wireless communication: Ultra-Reliable MAC Protocols 15th

AI-Based Wireless Communication: Ultra-Reliable MAC Protocol...

引用

15th international conference on Intelligent computing and Networking, IC-ICN 2024

作者： Gore, Santosh Gore, Sujata Rao, Priya Ghadge, Jayashri Bhapkar, Yogita Sai Info Solution Maharashtra Nashik India Dean-External Relations and Director-IQAC Avantika University Ujjain India Bharati Vidyapeeth Deemed to be University Yashwantrao Mohite College of Arts Scienceand Commerce Pune38 India

ISBN: (纸本)9789819786305

In critical wireless communication scenarios like autonomous driving and industrial automation, the demand for ultra-reliable and low-latency communication (URLLC) is paramount, imposing stringent criteria for reliability, latency, and jitter. Traditional medium access control (MAC) protocols encounter limitations due to their inflexible scheduling mechanisms. This study introduces an innovative adaptive AI-driven scheduling framework for URLLC, harnessing deep reinforcement learning (DRL) to dynamically adjust scheduling in response to evolving conditions. Through extensive training in simulations with critical metrics rewards, the DRL agent strategically optimizes trade-offs between reliability and latency. Results unequivocally demonstrate the framework's superiority over conventional protocols, significantly enhancing reliability, latency, and jitter performance. Its adaptability shines through its ability to accommodate a diverse range of network dynamics and traffic patterns. This pioneering approach effectively addresses the exigencies of mission-critical communication, thereby bolstering wireless technology's capacity for responsiveness, reliability, and adaptability to unprecedented levels. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Deep reinforcement learning

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Using Convolutional Neural Networks for Image Recognition in IoT Applications

Using Convolutional Neural Networks for Image Recognition in...

引用

2025 international conference on Pervasive Computational Technologies, ICPCT 2025

作者： Rajababu, Durgam Veerraju, Sampenga Kumar, K. Suresh Gupta, Sonali Thurai Raaj, V.B. Joshi, Rahul Sr University School of Engineering Department of Eee Telangana Warangal India Dadi Institute of Engineering and Technology Department of Electronics and Communications Engineering Andhra Pradesh Anakapalli Visakhapatnam531002 India Panimalar Engineering College Mba Department Varadarajapuram Poonamallee Chennai600123 India J C Bose University of Science and Technology Ymca Faridabad India Madanapalle Institute of Technology & Science Electrical and Electronics Engineering Andhra Pradesh Madanapalle India Manav Rachna International Institute of Research and Studies Department of Journalism & Mass Communication SMeH Haryana India

ISBN: (纸本)9798331508685

Convolutional Neural Networks (CNNs) have grown into a powerful picture identification tool. They are an important part of making Internet of Things (IoT) apps. In this regard, CNNs make it possible to analyse visual data gathered from networked devices, like cameras and sensors, effectively and accurately. With an emphasis on its potential for real-time applications for example smart surveillance, healthcare monitoring, autonomous cars, and industrial automation, this study investigates the incorporation of CNN-based image identification into IoT contexts. We tackle important issues such as the requirement for low-latency processing, energy economy, and computing limitations on edge devices. In order to maximise CNN performance in the resource-constrained IoT ecosystem, strategies like model compression, edge computing, and distributed architectures are covered. The ability to interpret large volumes of visual data is improved by the integration of CNNs with IoT, providing creative solutions for automation and intelligent decision-making across numerous industries. © 2025 IEEE.

关键词： Convolution

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Standardized Post-Quantum Cryptography and Recent Developments in Quantum Computers 1

Standardized Post-Quantum Cryptography and Recent Developmen...

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1st international conference on Advances in Computer Science, Electrical, Electronics, and communication Technologies, CE2CT 2025

作者： Chib, Shiney Devarajan, Harshitha Raghavan Chundru, Swathi Pulivarthy, Padmaja Isaac, R. Augustian Oku, KrishnaMurthy Meghe Institute of Management Studies Department of Management Datta Maharashtra Nagpur India New York University Department of Computer Science United States Motivity labs INC United States Samsung Korea Republic of Saveetha Engineering College Department of Artificial Intelligence and Machine Learning Tamil Nadu Chennai602105 India AT&T Services Inc Tech Lead Infrastructure/Cloud Architecture Department of Automation platform Development India

ISBN: (纸本)9798331518578

Traditional cryptographic frameworks are seriously threatened by the quick development of quantum computing, especially those that depend on public-key cryptosystems like RSA and ECC. Post-quantum cryptography (PQC) seeks to create cryptographic methods that are impervious to quantum computer assaults in order to overcome this difficulty. The National Institute of Standards and Technology (NIST), which has selected and standardised quantum-resistant techniques like CRYSTALS-Kyber for key encapsulation and CRYSTALS-Dilithium for digital signatures, has sparked recent advancements in PQC. At the same time, the need for reliable PQC solutions has increased due to developments in quantum computing, such as IBM's improvements in qubit stability and Google's 'quantum supremacy' assertion. In order to protect data security in the post-quantum age, PQC regulations must be adopted globally, as highlighted by the intersection of these fields. Current developments in PQC standardisation and the changing state of quantum computing technology are highlighted in this paper. © 2025 IEEE.

关键词： Quantum cryptography

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A Preliminary Investigation into Theory-Practice Barriers in Sino-New Zealand Undergraduate computing Education 17

A Preliminary Investigation into Theory-Practice Barriers in...

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17th international conference on Computer Supported Education, CSEDU 2025

作者： Dai, Fei Robins, Anthony Peng, Zhihao Huang, Wanni Tan, Chiu-Pih Chen, Tianzhen School of Computing Eastern Institute of Technology Napier New Zealand School of Computing University of Otago Dunedin New Zealand EIT Data Science and Communication College Zhejiang Yuexiu University Zhejiang Shaoxing China

ISBN: (纸本)9789897587467

This paper investigates the barriers hindering the effective transition from theoretical knowledge to practical application in a Sino-New Zealand double-degree undergraduate computing programme. In this unique educational setting, students study at a campus in China but complete both Chinese and New Zealand courses taught jointly by lecturers from both countries. Through a questionnaire administered to these students, we identify critical obstacles such as insufficient foundational knowledge, language barriers, cultural and pedagogical differences, and difficulties adapting to distinct educational systems. Our analysis reveals that these barriers significantly affect students’ academic performance, engagement, and skill development. Based on the findings, we propose targeted interventions, including specialized bridging courses, enhanced language support, refined teaching methods, and improved resource allocation. Copyright © 2025 by SCITEPRESS - Science and Technology Publications, Lda.

关键词： Students

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