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共 848 条记录，以下是11-20 订阅

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Optimizing Latency and Energy Efficiency in Edge computing with Reinforcement Learning and TinyML

Optimizing Latency and Energy Efficiency in Edge Computing w...

引用

Emerging Smart computing and informatics (ESCI), conference on

作者： S. Saraswathi Department of Computer Science and Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Chennai Tamil Nadu India

ISBN: (数字)9798331515683

ISBN: (纸本)9798331515690

Now, a new solution has stepped forward which is promising to offer just that in low latency real time smart networks especially in areas such as Wireless Sensor Networks. This paper puts forward an AI-Driven Adaptive Edge computing Framework (AEAO) to minimize data processing delay based on real-time resource provisioning and smart task allocation. The framework also initiates lightweight AI models like the TinyML to do inference at certain regions; it also employs RL to manage the resources flexibly. Also, Federated Learning (FL) increases the privacy of the system since models are trained across distributed edge nodes without aggregating sensitive data. The experimental setup of our work assesses the efficacy of the proposed framework in the model healthcare and industrial IoT settings based on the corresponding parameters, including latency, throughput, and energy consumption. Analysis with other methods suggests that delays in processing have decreased, and the accuracy of decisions is higher compared to conventional cloud-oriented and immovable edge computing models. This research captures the possibility of synchronizing computing at the network edge with AI in tackling contemporary challenges of real-time, secure, and efficient data consumption in intelligent networks

关键词： Adaptation models Energy consumption Accuracy Federated learning Computational modeling Tiny machine learning Medical services Reinforcement learning Throughput Real-time systems

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V2G & G2V Operation in Electric Vehicle Charger

V2G & G2V Operation in Electric Vehicle Charger

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Mobile computing and Sustainable informatics (ICMCSI), international conference on

作者： Gosavi Karishma Suresh Shinde Vidhi Ravindra Jagdish More Sonawane Vishakha Bharat Landge Dhanashri Bapu Department of Electrical Engineering SVKM IOT Dhule Dhule India

ISBN: (数字)9798331522667

ISBN: (纸本)9798331522674

The growing use of EVs in the transportation sector presents unique opportunities to assist and stabilize the power grid through Vehicle-to-Grid (V2G) and Grid-to-Vehicle (G2V) operations. V2G allows EVs to feed energy back into the grid, providing load balancing, frequency control, and renewable energy integration, whereas G2V focuses on charging EVs from the grid. The usefulness and efficiency of a three-phase bidirectional converter in supporting these functions in an EV charger system are examined in this study. We simulate and study the bidirectional power flow using MATLAB/Simulink, looking at how various operating circumstances affect EV battery performance as well as grid stability. The findings show that, while preserving power quality and reducing harmonic distortion, the bidirectional converter efficiently meets grid demands during periods of high demand. In addition to highlighting the potential of EV chargers as adaptable, dispersed energy resources for contemporary smart grids, this study shows that V2G/G2V integration is technically feasible.

关键词： Vehicle-to-grid Renewable energy sources Power quality Transportation Rectifiers Power system stability Stability analysis Batteries MATLAB Mobile computing

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Optimizing VPN Security in Financial Services: Implementing 256-Bit Encryption and Tunneling Protocols for Secure Data Transmission

Optimizing VPN Security in Financial Services: Implementing ...

引用

international conference on Ubiquitous Information Management and Communication (IMCOM)

作者： Irma Syarlina Che Ilias Sera Syarmila Sameon Muhammad Zaqwan Ezzad Zulkifli Mohammad Zahir Mat Salleh Malaysian Institute of Information Technology Universiti Kuala Lumpur Kuala Lumpur Malaysia College of Computing and Informatics Universiti Tenaga Nasional Selangor Malaysia CyberSecurity RawSec Kuala Lumpur Malaysia

ISBN: (数字)9798331507817

ISBN: (纸本)9798331507824

This study examines the essential importance of security in contemporary network settings, emphasizing the increasing dependence on Virtual Private Networks (VPNs) for safe data transfer. The emphasis is on assessing the security attributes of VPNs to enhance existing network systems. This study specifically contrasts the performance and efficacy of two tunneling protocols—Layer 2 Tunneling Protocol version 3 with IPsec (L2TPv3/IPsec) and Generic Routing Encapsulation (GRE) utilizing IPsec—in a site-to-site connection. The study offers an economical solution by leveraging current infrastructure, minimizing the requirement for extra gear like antennas and rented space. Moreover, the study follows the National Institute of Standards and Technology (NIST) security protocols, specifically designed for the financial services sector, guaranteeing a secure and cost-effective approach for data transfer. Initial findings indicate that the best arrangement of VPN tunnels improves security in financial services networks, providing an effective method for protecting direct connections.

关键词： Protocols Tunneling NIST Data transfer Routing Virtual private networks Encryption Security Financial services Network systems

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Advanced Intelligent computing Theories and Applications 2007

引用

丛书名： Communications in Computer and Information Science

2007年

作者： De-Shuang Huang Laurent Heutte Marco Loog

ISBN: (数字)9783540742821

ISBN: (纸本)9783540742814

This book - in conjunction with the two volumes LNCS 4681 and LNAI 4682 - constitutes the refereed proceedings of the Third international conference on Intelligent computing, ICIC 2007, held in Qingdao, China in August 2007. The intelligent computing technology includes a range of techniques such as artificial intelligence, perceptual and pattern recognition, evolutionary and adaptive computing, informatics theories and applications, computational neuroscience and bioscience, soft computing, case based and constrained reasoning, agents, networking and computer supported co-operative working, human computer interface issues. ICIC theme unifies the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications.

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Energy-efficient approaches to Cloud computing

Energy-efficient approaches to Cloud computing

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2014 international conference on contemporary computing and informatics, IC3I 2014

作者： Asha, N. Rao, G. Raghavendra Dept of PG Studies in Computer Engineering and Applications National Institute of Engineering Mysore India Dept of Computer Science and Engineering National Institute of Engineering Mysore India

ISBN: (纸本)9781479966295

Enterprises are looking forward to adopt cutting edge innovative technologies that could cut costs and maximize value. Cloud is getting into every Business, Industry and Enterprise applications ensuring economic and agility benefits. While Cloud seems to be disruptive, it's still a long way to go to completely materialize the Cloud. Cloud computing envisions that services, platforms and computing resources can be provided, on-demand, in a self-service fashion by a set of cooperating and/or competing providers to clients over the Internet. The emergence of cloud computing stems from the availability of numerous massive data centers, improvements in virtualization technologies and the availability and abundance of high speed networks. A large-scale computing infrastructure consumes enormous amounts of electrical power leading to operational costs not only exceed the cost of the infrastructure, also reflects on its carbon footprint. Green Cloud computing solution is needed that saves energy for the environment. This paper surveys techniques and solutions that aim to improve the energy efficiency of computing resources. It discusses methods to evaluate and model the energy consumed by these resources, and describes techniques that operate at a distributed system level, trying to improve aspects such as resource allocation. © 2014 IEEE.

关键词： Green computing

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Exploiting Node Heterogeneity for Time Synchronization in Low Power Sensor Networks

Exploiting Node Heterogeneity for Time Synchronization in Lo...

引用

proc 2014 inter conf contemporary comp informatics (ic3i)

作者： Yadav, Akash Waghmare, Anandghan Sairam, Ashok Singh Indian Inst Technol Patna Dept Comp Sci Engn Patna 800013 Bihar India

ISBN: (纸本)9781479966295

Cyber-Physical Systems are a powerful and central element of the upcoming Internet of Things (IoT), as they provide spatially distributed interfaces to physical systems, can collect and pre-process the data, and forward it to a back end database system. Time synchronization is crucial in such networks for data aggregation as well as duty cycling of the nodes. Existing time synchronization mechanisms concentrating on improving synchronization accuracy leads to large overhead that may restrict its applicability in such low power scenarios. In this paper we propose a time synchronization mechanism that exploits the heterogeneity in power availability of the nodes to provide high synchronization accuracy as well as high energy efficiency. Analytical as well as empirical results indicate that in the proposed protocol, the control message overhead is considerably less compared to a popular existing scheme with modest increase in the error rate.

关键词： Internet of Things energy conservation protocols synchronisation telecommunication power management wireless sensor networks Internet of Thing IoT control message overhead cyber-physical system data aggregation data collection energy efficiency low power wireless sensor network node heterogeneity spatially distributed interface time synchronization protocol Accuracy Clocks Peer-to-peer computing Routing protocols Synchronization Wireless sensor networks Peer to peer computing control message Sensor networks Error analysis Cyber-physical systems Timing devices Internet of things Energy conservation unified retrieval models clock recovery protocols Wireless sensor networks Routing protocols Data Collection Methods Energy efficiency

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Load Balancing in Cloud computing: Challenges & Issues 2

Load Balancing in Cloud Computing: Challenges & Issues

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2nd IEEE international conference on contemporary computing and informatics (IC3I)

作者： Joshi, Shalini Kumari, Uma Mody Univ Sci & Technol Comp Sci & Engn Lakshmangarh India

ISBN: (纸本)9781509052561

Cloud computing is latest emerging technology for large scale distributed computing and parallel computing. Cloud computing gives large pool of shared resources, software packages, information, storage and many different applications as per user demands at any instance of time. Cloud computing is emerging quickly;a large number of users are attracted towards cloud services for more satisfaction. Balancing the load has become more interesting research area in this field. Better load balancing algorithm in cloud system increases the performance and resources utilization by dynamically distributing work load among various nodes in the system. This paper presents cloud computing, cloud computing architecture, virtualization, load balancing, challenges and various currently available load balancing algorithms.

关键词： Cloud computing architecture virtualization load balancing

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Advanced Intelligent computing Theories and Applications 2008

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丛书名： Communications in Computer and Information Science

2008年

作者： De-Shuang Huang Donald C. Wunsch Daniel S. Levine Kang-Hyun Jo

ISBN: (数字)9783540859307

ISBN: (纸本)9783540859291

This book - in conjunction with the two volumes LNCS 5226 and LNAI 5227 - constitutes the refereed proceedings of the Fourth international conference on Intelligent computing, ICIC 2008, held in Shanghai, China in September 2008. The intelligent computing technology includes a range of techniques such as artificial intelligence, perceptual and pattern recognition, evolutionary and adaptive computing, informatics theories and applications, computational neuroscience and bioscience, soft computing, case based and constrained reasoning, agents, networking and computer supported co-operative working, human computer interface issues. ICIC theme unifies the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications.

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Foundations to Frontiers of Big Data Analytics 2

Foundations to Frontiers of Big Data Analytics

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2nd IEEE international conference on contemporary computing and informatics (IC3I)

作者： Prakash, Kolla Bhanu RajaRaman, Arun Perumal, Thingaran Kolla, Padma Chirala Engn Coll Chirala Andhra Pradesh India IIT Madras Madras Tamil Nadu India Univ Putra Malaysia Serdang Malaysia

In recent times, big data analytics has become a major trend in catering data queries that has been growing dramatically. The present paper gives a brief description of latest happenings of Big Data analytics. A case ... 详细信息

ISBN: (纸本)9781509052561

关键词： Big Data Map Reduce Spark Cloud computing Hadoop Haloop

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Performance Evaluation Of Hybrid GAACO for Task Scheduling In Cloud computing 2

Performance Evaluation Of Hybrid GAACO for Task Scheduling I...

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2nd IEEE international conference on contemporary computing and informatics (IC3I)

作者： Kaur, Mandeep Agnihotri, Manoj Amritsar Coll Engn & Technol Dept Comp Sci & Engn Amritsar Punjab India

ISBN: (纸本)9781509052561

Cloud computing is really a new computing mode. Load balancing of resources across virtual machines is the fundamental problem of Cloud computing. Effective job scheduling device must meet people 'requirements and increase the source usage, to be able to increase the entire efficiency of the cloud processing environment. In optimization issue, Genetic Algorithm and Ant Colony Optimization Algorithm have already been referred to as excellent option method. GA is created by adopting the organic progress process, while ACO is encouraged by the foraging behavior of ant species. This paper evaluated hybridization of ACO and GA adopt with multi-objective function to improve the global optimization solution.

关键词： Cloud computing Load Balancing Ant colony optimization(ACO) and Genetic algorithm(GA)

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