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共 299 条记录，以下是21-30 订阅

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Resource Scheduling and Optimization Strategy in Edge computing Environment 5

Resource Scheduling and Optimization Strategy in Edge Comput...

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5th international conference on Industrial IoT, Big Data and Supply Chain, IIoTBDSC 2024

作者： Zhao, Chuanqi Wang, Lanruo Zhang, Qizhe Song, Rui Haidian100080 China

ISBN: (纸本)9798331539818

With the rapid development of the internet of things (IoT), big data and artificial intelligence (AI) technologies, edge computing, as a new computing model, is gradually becoming a key technology for processing massive data and realizing low latency services. Edge computing emerged as a cutting-edge computing paradigm. By pushing computing resources and data storage to the edge of the network, it greatly shortens the data processing path and provides an efficient solution for dealing with large-scale data processing and low latency requirements. In order to further improve the utilization efficiency of computing resources and optimize system performance indicators, the optimization of resource allocation and task scheduling in edge computing has become the focus of academic and industrial circles. this paper innovatively proposes a resource scheduling and optimization model based on edge computing, which deeply integrates AI algorithm to achieve dynamic optimal allocation of resources and intelligent scheduling of tasks. through simulation experiments, it has been verified that the model not only significantly improves resource utilization and reduces task completion time, but also effectively responds to network fluctuations and load changes, demonstrating strong robustness and adaptability. © 2024 IEEE.

关键词： edge computing optimization strategy resource scheduling

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SoK: Blockchain for Industrial internet of things 5

SoK: Blockchain for Industrial Internet of Things

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5th international conference on Blockchain computing and Applications, BCCA 2023

作者： Wang, Gang Nixon, Mark University of Connecticut United States Emerson Automation Solutions

ISBN: (纸本)9798350339239

the proliferation of internet of things (IoT) technology has significantly contributed to the realization of ubiquitous computing, facilitating widespread internet connectivity across diverse application domains and thereby bridging billions of devices and individuals for seamless information collection, data processing, and decision-making. Over the past years, IoT technology has witnessed exponential growth in its applications, particularly in various industrial sectors. Despite these advancements, many existing industrial IoT (IIoT) implementations still rely on centralized architectures, which introduce vulnerabilities to single-point-of-failure attacks and necessitate substantial computational resources at the central entity. To address these challenges and enhance the efficiency and security of IIoT platforms, emerging blockchain technology offers promising prospects. As a distributed and decentralized tamper-resistant ledger, blockchain enables data consistency across multiple locations, making it a compelling solution to tackle issues prevailing in traditional IIoT networks, including heterogeneity, interoperability, and security concerns. the integration of blockchain technology into IIoT platforms, however, presents several critical challenges, inherent to both IIoT and blockchain paradigms, such as standardization, scalability, and interoperability. In this paper, we conduct a comprehensive review of recent advances in architectural design and technology development that aim to address these challenges. We approach this review from a practical perspective by analyzing existing solutions and avoiding potential pitfalls in design. Moreover, we present a selection of representative industrial use cases that stand to benefit from the incorporation of blockchain technology. Finally, we delve into the current research trends and open issues in the domain of blockchain-enabled IIoT platforms, providing insights into future directions for research and development

关键词： Blockchain

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A Bibliometric Overview of Testing in Cloud computing Environment 5

A Bibliometric Overview of Testing in Cloud Computing Enviro...

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5th IEEE international conference on computing, Power, and Communication Technologies, IC2PCT 2024

作者： Garg, Yakshi Uppal, Mudita Gupta, Deepali Chitkara University Institute of Engineering and Technology Chitkara University Punjab India

ISBN: (纸本)9798350383522

Cloud computing has revolutionized the field of information technology, leading to a significant change from traditional desktop systems to virtualized internet platforms in industry 4.0. Testing in the cloud computing environment is essential for guaranteeing the dependability, scalability, and security of applications. It enables the replication of real-world circumstances and a variety of user scenarios. Given the ever-changing nature of cloud infrastructure, it is crucial to prioritize efficient testing in order to discover and address possible problems. this will eventually improve the overall performance and user experience. this paper examines cloud testing, including its various varieties, associated advantages, and the potential future of cloud computing. By conducting a thorough analysis and comparison of current literature, this research provides clear and important insights. the study thoroughly examines the patterns in yearly scientific output from 2008 to 2022, revealing a noticeable trend in scientific productivity. the visual depiction of this data provides a thorough examination of testing methodologies in software development, enhancing our comprehension of this ever-changing field. © 2024 IEEE.

关键词： analysis. bibliometric Cloud computing testing

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Intelligent Healthcare System Using Emerging Technologies: A Comprehensive Survey 1

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5th international conference on Advances in distributed computing and Machine Learning, ICADCML 2024

作者： Mohapatra, Subasish Mohanty, Subhadarshini Maharana, Santosh Kumar Panda, Chandan Sarangi, Dibyasha Dash, Amit Odisha University of Technology Bhubaneswar India

ISBN: (数字)9789819718412

ISBN: (纸本)9789819718405

Nowadays, health care is the most important domain to be analyzed by technology experts to replace traditional techniques. As healthcare applications have become technology-oriented, the upcoming technologies can be integrated to provide better, cheaper, and faster solutions. Wireless sensor networks, cloud computing, internet of things (IoT) have come up with a solution mechanism for real-time monitoring of the body parameters of patients. though these technological advancements have resolved many issues related to storage, scalability, availability, decision-making, and processing, it has many limitations that can be mitigated with the help of some advanced technologies to impose security and quality of service. In this paper, an exhaustive comprehensive study of 64 papers has been done to summarize different techniques used for intelligent healthcare systems and limitations which can open research directions for the developers and researchers. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Edge computing

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AI-Optimized Hardware Design for internet of things (IoT) Devices 5

AI-Optimized Hardware Design for Internet of Things (IoT) De...

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5th IEEE international conference on Recent Trends in Computer Science and technology, ICRTCST 2024

作者： Vishnu Kumar, P. Kulkarni, Adokshaja Mendhe, Dinesh Keshar, Durgesh Kumar Tilak Babu, S.B.G. Rajesh, N. G Pullaiah College of Engineering and Technology Department of CSO Andhra Pradesh Kurnool India Tontadarya College of Engineering Department of Computer Science Engineering Karnataka Gadag India The State University of New Jersey Office of Research Computing Rutgers New BrunswickNJ United States Kalinga University Department of Computer Science Chhattisgarh New Raipur India Aditya Engineering College Department of ECE Surampalem India Maharaja Institute of Technology Department of Electronics and Communication Engineering Karnataka Mysore India

ISBN: (纸本)9798350351378

the internet of things (IoT) has emerged as a transformative paradigm, connecting billions of devices to the internet and enabling seamless communication and data exchange. As the IoT ecosystem continues to expand, there is an increasing demand for energy-efficient, high-performance hardware tailored to the unique requirements of AI-powered applications deployed on IoT devices. this research focuses on the design and optimization of hardware architectures to meet the computational demands of AI algorithms in IoT environments. the proposed AI-optimized hardware design leverages the latest advancements in semiconductor technology and integrates specialized processing units for efficient execution of machine learning tasks. the architecture is tailored to address the constraints of IoT devices, including limited power resources, stringent size constraints, and the need for real-time processing. Key components of the design include low-power processors, hardware accelerators, and memory hierarchies optimized for AI workloads. Additionally, the system employs advanced algorithms for task offloading and distributed processing, enabling collaborative and energy-efficient execution of AI tasks across a network of interconnected IoT devices. the proposed AI-optimized hardware design is evaluated through simulations and real-world experiments, demonstrating superior performance in terms of energy efficiency, processing speed, and scalability. the results showcase the potential of the designed hardware to unlock new possibilities for AI applications in diverse IoT scenarios, ranging from smart cities and industrial automation to healthcare and environmental monitoring. the proposed research serves as a foundation for the development of next-generation IoT devices capable of seamlessly integrating AI capabilities while meeting the stringent requirements of the IoT ecosystem. © 2024 IEEE.

关键词： internet of things

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Enhanced Traffic Management in IoT-Integrated internet of Vehicles (IoV) with Optimized Routing and Deep Learning Algorithm 5th

Enhanced Traffic Management in IoT-Integrated Internet of Ve...

引用

5th international conference on Advances in distributed computing and Machine Learning, ICADCML 2024

作者： Sahoo, Arundhati Tripathy, Asis Kumar School of Computer Science Engineering and Information Systems Vellore Institute of Technology Vellore India

ISBN: (纸本)9789819735228

the integration of the internet of things (IoT) into vehicular networks has paved the way for the exciting development of the internet of Vehicles (IoV) within Intelligent Transportation Systems (ITS). these breakthroughs bring about enhancements in urban transportation services, including improved quality and interaction, reduced costs, more efficient resource utilization, and enhanced traffic management capabilities. the incorporation of IoV into transportation has the potential to address various traffic-related challenges in smart cities. Nevertheless, optimizing routing and monitoring network traffic presents significant challenges, primarily due to limited node-to-node communication capabilities. To tackle these problems, this study proposes the BiLSTM-GreedyNet, which combines the Improved Greedy Perimeter Stateless Routing Algorithm with the Bi-LSTM neural network technology in a 5G network environment. the system delivers impressive results, as evidenced by simulations in MATLAB, boasting a remarkable 98.22% accuracy rate, a low 34.2 MJ energy consumption, and a high Packet Delivery Ratio (PDR) of 91%, all tested with a network of 100 nodes. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： internet of things

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GAGSA: A Hybrid Approach for Load Balancing in Cloud Environment 5th

GAGSA: A Hybrid Approach for Load Balancing in Cloud Environ...

引用

5th international conference on Advances in distributed computing and Machine Learning, ICADCML 2024

作者： Mohapatra, Subasish Mohanty, Subhadarshini Maharana, Santosh Kumar Dash, Arabinda Sahoo, Kshira Sagar Odisha University of Technology and Research Bhubaneswar India Silicon Institute of Technology Bhubaneswar India Department of Computing Science Umeå University UmeåSE-901 87 Sweden

ISBN: (纸本)9789819718405

Cloud computing is widely being used by researchers’ academia and industry for its abundant opportunities. Different technologies such as internet of things, Edge computing, and Fog computing are gradually integrating with the cloud platform due to its scalability and availability. the number of cloud users is also increasing exponentially. the requests generated from wide range of users are random. Executions of request and providing the quality of service are one of the promising issues in cloud environment. Optimization of response time and commutation cost is the major concern in cloud environment. Researchers have proposed many heuristics, meta-heuristic approaches for solving the load balancing issues in cloud platform. In this paper, authors have proposed a hybrid approach for load balancing in cloud computing using genetic algorithm with gravitational search algorithm. Simulations are carried out using cloud Sim Simulator and comparisons are made with other competitive approaches to evaluate the performance of the system. It is observed that the hybrid approach outperforms in various measures. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Genetic algorithms

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Smart City Survey on AIoT Using Machine Learning, Deep Learning, and Its computing Tools 5th

Smart City Survey on AIoT Using Machine Learning, Deep Lear...

引用

5th international conference on Advances in distributed computing and Machine Learning, ICADCML 2024

作者： Priakanth, P. Jothimani, K. Gopikrishnan, S. Linga Reddy, C. Department of Computer Science and Design Kongu Engineering College Erode India School of Computer Science and Engineering VIT-AP University Amaravati India Department of Information and Communication Technology University of Agder Kristiansand Norway

ISBN: (纸本)9789819735228

Urban-city administrators are proceeding on smart applications with the fully integrated IoT-artificial intelligence analytics explication assists intelligent-safer workstation, immediate happenstance response, disaster control management including smart electricity, trash, air and water allowing them to produce more prominent levels of flexibility, yielding, sustainability and profitability. though smart city notion is gradually developing and yet not established all over the world owing to economical, technological, and administrating blockades. this perspective paper aims to accomplish a review of IoT-enabled artificial intelligence regarding the usage of machine learning and deep learning for the development of smarter cities in addition to different computing tools to employ methods, platforms, architectures, and its real-world enactment. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： internet of things

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Global Identification Passport: A Unique Cloud based Passport Model 5

Global Identification Passport: A Unique Cloud based Passpor...

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5th international conference on Smart Systems and Inventive technology, ICSSIT 2023

作者： Raja, A. Ravi Anuradha, T. Majji, Sankararao Patnala, Tulasi Radhika Sushama, C. Kapila, Dhiraj Velagapudi Ramakrishna Siddhartha Engineering College Ece Department Vijayawada India Kcg College of Technology Department of Electrical and Electronics Engineering Chennai India Griet Department of Ece Hyderabad India Gitam Universirty Dept of Ece Hyderbad India School of Computing Mohan Babu University Department of Computer Science and Engineering Vijayawada India Lovely Professional University Department of Computer Science and Engineering Phagwara India

ISBN: (纸本)9781665474672

DDoS attacks pose a serious risk to cloud networks because of the money they might cost if they succeed. For this reason, the Security Research Group has been hard at work creating various detection methods to lessen the blow of any future cyberattacks. Cloud computing, often known as internet computing, is a model of delivering computing as a service, in which shared, elastically scalable and virtually hosted servers are made available to users anywhere there is an internet connection. Numerous companies provide cloud services online to meet the needs of various clientele. Since most cloud users lack their own computing capabilities, they must save their data, documents, and applications in the cloud in order to perform their work efficiently. the focus of this work is on the worldwide identification procedure utilising a digital passport in the cloud. there has been and will continue to be significant growth in cloud-based innovation and advancement in the coming years. Users can benefit greatly from cloud computing by delegating complex activities to remote data centers. Whether or not consumers can access the cloud's services is determined by the terms of the Service Level Agreement (SLA) in place between the cloud's suppliers and the users. By detecting when a service level agreement (SLA) has been broken, cloud service providers may boost customer confidence, decrease the likelihood of incurring costly fines, and boost their bottom line. this study makes two significant contributions to the fields of service provider selection for virtual machine (VM) migrations and SLA (service level agreement) violation detection in public cloud computing. the pros and cons of a passport-free international travel system were examined. this study has compared various research methodologies and frameworks for implementing new technologies. the present study is predicated on a Cloud Passport adoption model that was developed for previous work. © 2023 IEEE.

关键词： distributed database systems

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internet of things in health care system: Cloud computing Review 5

Internet of things in health care system: Cloud Computing Re...

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5th international conference on Engineering technology and its Applications, IICETA 2022

作者： Jassim, Dhuha Ajil Hreshee, Saad Saffah Babylon University Electrical Department Babylon Iraq

ISBN: (纸本)9781665472159

internet of things (IoT) offers a seamless platform to connect people and objects to one another for enriching and making our lives easier. this vision carries us from compute-based centralized schemes to a more distributed environment offering a vast amount of applications such as smart wearables, smart home, smart mobility, and smart cities. management of huge amount data such as reports and images of every person leads to increase the human efforts and security risks. therefore, security should be at the staple of outlook in IoT elucidations. In this paper, we present review on the cloud based computing in the healthcare environment, we classified the previous work based on their functionality and design architecture. © 2022 IEEE.

关键词： internet of things

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