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Edge computing: An Overview 14

Edge Computing: An Overview

引用

14th international conference on Advances in computing, Control, and Telecommunication technologies, ACT 2023

作者： Shettar, Girish B. Devangavi, Anil D. Basaveshwar Engineering College Department of Information Science and Engineering Bagalkote India Basaveshwar Engineering College Department of Artificial Intelligence & Machine Learning Bagalkote India

In current era, the Edge computing archetype has captured substantial recognition in various educational universities and IT sector. Edge computing assists as an opportunity and act as a key empowering influence for different technological innovation like Augmented Reality (AR), 5th Generation Mobile Network (5G), communications between vehicles (V2V) by interfacing amenities or services at the cloud, internet of things (IoT) and providing resources to end clients. the Edge computing architype anticipates to reduce latency, faster digital experiences, location mindfulness backing to time-delicate applications such as voice over IP, live streaming videos, multimedia teleconferencing. this paper comprehensively presents the concepts of the edge computing and in contrast to the cloud computing. then succinctly describe the edge computing, challenges faced in edge computing, and finally windup with the solutions and various edge computing applications. © Grenze Scientific Society, 2023.

关键词： internet of things

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Information Recapture Technique for Service Oriented computing 5

Information Recapture Technique for Service Oriented Computi...

引用

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

作者： Singh, Takveer Chitkara University Institute of Engineering and Technology Chitkara University Centre for Interdisciplinary Research in Business and Technology Punjab India

ISBN: (纸本)9798350383522

the cloud computing system, which operates via the internet, provides large, scalable computer resources to users as a service. this technique has attracted significant attention from the scientific and corporate worlds alike. However, the notion of cloud computing lacks methods for knowledge discovery and information retrieval. Put differently, clouds need intelligence and autonomy. Web services are a crucial component of Service Oriented computing (SOC) in cloud computing environments. Within a cloud context, a single Web service cannot get specific and tailored information from other Web services. Web services may be successfully composed with the aid of agents. this project's primary objective is to offer a method of information extraction in a cloud environment using web services and the multi-agent system idea. © 2024 IEEE.

关键词： Cloud computing information retrieval multi-agent systems web services

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Smart Healthcare Systems: IoT and AI for Heart Disease Prediction 5

Smart Healthcare Systems: IoT and AI for Heart Disease Predi...

引用

5th international conference on Electronics and Sustainable Communication Systems, ICESC 2024

作者： Vishnu, K. Sebastian, thomas Binu, P.K. Amrita School of Computing Amrita Vishwa Vidyapeetham Department of Computer Science and Applications Amritapuri India

ISBN: (纸本)9798350379945

Fast food consumption and changes in lifestyle are associated with an increase in heart related problems. this study looks at how cloud computing, the internet of things and machine learning can be combined for CVD risk prediction and real-time monitoring. the IoT-ML-Cloud paradigm aims to increment the precision of Cardio Vascular Disease prediction by merging these technologies. the system comprises three main modules: Prediction, Data collection and User engagement. Utilizing Arduino and ESP32 modules. An Android application facilitates patient data input and real-time monitoring and predictions using ML models deployed on the Microsoft Azure cloud. Bluetooth technology utilised to facilitates real-time data transfer to the cloud. this paper proposes Bi-LSTM algorithm with an accuracy of 96.55% for the heart disease prediction. Along with highlighting significant discoveries from numerous ML algorithms in the diagnosis of Cardio Vascular Disease, it also highlights the significance of cloud computing and data mining for large-scale medical data analysis. © 2024 IEEE.

关键词： Electronic health record

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Impact of Cloud computing in Digital Healthcare 5

Impact of Cloud Computing in Digital Healthcare

引用

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

作者： thakur, Shreya Sharma, Simran Sharma, Arvind K. Kaur, Rajinder Anju Shoolini University Yogananda School of AI Computers and Data Science Himachal Pradesh Solan India Trinity College Department of Computer Sciences Punjab Jalandhar India

ISBN: (纸本)9798350383522

the continuous and sustainable development in healthcare is taking place from decades and with prompt technological advancement in engineering nowadays the healthcare can't be imagined without the advent tools like Cloud computing, internet of Medical things etc., for quality medical practices, electronic medical records management, patient control on private health information, tracking/tracing of pharmaceutical shipments etc. the eminent cloud-computing not only spreading its feet but also exploring new dimensions in healthcare to make the digital-health possible with its remarkable fundamental benefits in quality healthcare application development. the paper is focused especially on cloud-computing, its applications and services more specifically in healthcare towards best medical practices. © 2024 IEEE.

关键词： Cloud computing Digital Health Electronic Health Records Healthcare Privacy Telemedicine Wearable Device

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An Insight into Federated Learning Based Digital Twin Applications in Smart City 5

An Insight into Federated Learning Based Digital Twin Applic...

引用

5th international conference on Inventive Research in computing Applications, ICIRCA 2023

作者： Saranya, M. Amutha, B. Srm Institute of Science and Technology Department of Computing Technologies Kattankulathur India

ISBN: (纸本)9798350321425

the internet of things (IoT) and new developments in Artificial Intelligence (AI) have enhanced technologies based on smart cities, such as smart transportation, smart healthcare, and smart environmental management (IoT). Artificial intelligence (AI) was used to build virtual Digital Twins (DT), which are exact duplicates of real objects. DT uses in the manufacturing and industrial sectors have been successful, but smart city applications are still in their infancy. the primary reasons for this delay are a lack of confidence and privacy concerns around the transmission of sensitive data. DT may be used in combination with Federated Learning (FL) to ensure dependability and privacy preservation. In order to facilitate governance in smart city applications and their adoption in circumstances where time is of the essence and lives are on the line, the primary goal of this study is to merge these two cutting-edge technologies. the use of technology, businesses now create better products, identify and swiftly fix physical issues, and realize value and advantages more quickly than in the past. Give a complete examination of the various DTs for smart cities using FL model applications. the study's findings are utilized to pinpoint a few important problems and suggest solutions for enhancing FL-DT integration in applications. © 2023 IEEE.

关键词： Smart city

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A Review of Computational Offloading Techniques in Edge computing Environments 5

A Review of Computational Offloading Techniques in Edge Comp...

引用

5th international Academic Exchange conference on Science and Technology Innovation, IAECST 2023

作者： Yang, Jie Li, Yahui Han, Pengcheng Wu, Na Xi'An Aeronautical Computing Technique Research Institute of China Aviation Industry Corporation Shanxi Xi'an China

ISBN: (纸本)9798350357738

With the rapid development of the internet of things and 6G wireless networks, computational-intensive tasks, such as AI internet of things and mobile augmented reality applications, have received increasing attention. Edge computing, which emerged as an extension of cloud computing, provides powerful communication, storage and computing capabilities for user equipment at the edge of the network by sinking cloud computing services and functions. the computation offload technology in edge computing, which is the key of resource management and task scheduling, can tackle with the resource-constraint problem of user equipment while reducing time delay for applications. this paper investigates the latest research findings of edge computing to know the research progress of computing offload technologies. First, we present the development, architecture and computing offload model of edge computing. then, we analyze the advantages and disadvantages of the mainstream computing offload technologies from three scheduling problems, i.e., delay minimization, energy consumption minimization, and joint optimization of delay and energy consumption. Finally, we put forward several pen problems to be addressed and prospect the future research directions. © 2023 IEEE.

关键词： Energy utilization

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An Intelligent Security Systems in Cloud computing using Cryptography Techniques 5

An Intelligent Security Systems in Cloud Computing using Cry...

引用

5th international conference on Electronics and Sustainable Communication Systems, ICESC 2024

作者： Srilakshmi, V. Chetana, V. Lakshmi Dornala, Raghunadha Reddi Vallabaneni, S. Parvathi Ramanjaiah, Ganji School of Computer Science and Engineering Vit -AP University Andhra Pradesh Amaravati522237 India School of Computing Amrita Vishwa Vidyapeetham Department of Computer Science and Engineering Amaravati Campus India Walgreens United States Pvp Siddhartha Institute of Technology Department of It Vijayawada India R v Institute of Technology Dept.of Cse Guntur India

ISBN: (纸本)9798350379945

Delivering computing resources over the internet has seen a paradigm shift towards cloud computing. However, there are serious security risks because cloud environments are distributed and shared. Intelligent Security Systems (ISS) that use cryptographic techniques are now necessary to overcome these issues, such as data confidentiality, integrity, and authenticity;this study developed an ISS for cloud computing, concentrating on cryptographic techniques. the RSA-OAEP (Optimal Asymmetric Encryption Padding) and X.509 algorithms are combined to create the ISS and further cover a variety of cryptographic methods, emphasizing their functions in protecting cloud-based systems, including encryption, digital signatures, and key management. It also looks at improving security systems' threat detection and response capabilities by integrating artificial intelligence (AI) algorithms like Grubbs' Test. In addition, several issues and potential paths for intelligent security systems in cloud computing are examined, highlighting the necessity of ongoing study and development to remain ahead of developing cyber threats. © 2024 IEEE.

关键词： Cloud security

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Data Fabric for Industrial Metaverse 44

Data Fabric for Industrial Metaverse

引用

44th IEEE international conference on distributed computing Systems (ICDCS)

作者： Kumar, Abhishek Loven, Lauri Pirttikangas, Susanna Tarkoma, Sasu Univ Oulu Oulu Finland Univ Helsinki Helsinki Finland

ISBN: (纸本)9798350354720;9798350354713

the concept of a distributed computing continuum promises to offer a unified view of computing, communication and data resources scattered across edge, fog, and cloud, and utilize them for real-time data analysis, reducing latency, and improving operational efficiency in industrial settings. this paper explores a special utility of this continuum, i.e. the role of the continuum in facilitating the creation of an industrial metaverse. the concept of the Industrial Metaverse provides a major opportunity for the seamless integration of digital and physical assets in industrial settings. the metaverse consists of multiple worlds, generally manifested as 3D environments enhanced by AR/VR/XR technologies. these virtual worlds can also interact with the physical world, merging realities. In practice, companies within a supply chain network are interconnected;similarly, many metaverse worlds owned by different companies can also be expected to interlink. this necessitates the development of an interconnection fabric for the computing continuum which takes the intricacies of the metaverse into account, i.e. facilitating not only the integration of visual, aural, and other interactive 3D content but also various modalities and non-functional attributes such as ownership and privacy. Furthermore, this interconnection must adhere to the business agreements governing content flow among Metaverse worlds owned by disparate companies. this paper presents a novel data fabric model designed specifically for the interconnection of various private metaverses, emphasizing its potential to enable seamless data integration, support real-time analytics, and ensure operational scalability.

关键词： distributed computing Continuum Metaverse internet of things Data Fabric Industrial Metaverse 3D Virtual Environment AI Interconnection Complex Event Processing Supply Chain Network

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Performance Analysis of Edge Node in IoT Network 5

Performance Analysis of Edge Node in IoT Network

引用

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

作者： Naaz, Zaineb Sharma, Vidushi Gautam Buddha University Department of Computer Science and Engineering Greater Noida India

ISBN: (纸本)9798350383522

the proliferation of IoT nodes generates vast amounts of data, necessitating innovative solutions for efficient processing, analysis, and decision-making. By bringing computation closer to the data source, edge computing emerges as a promising technique to address the latency and bandwidth challenges inherent in traditional cloud centric IoT architectures. However, some challenges still need to be addressed in the edge computing paradigm. In this paper, we have analyzed the performance of edge node concerning the varying number of IoT nodes by considering data load, data processing time and energy consumption of edge node as performance indices. Simulation results, illuminate the relationship between network size (total number of sensor nodes in the network) and the performance of edge node. this analysis offers insights into determining the optimal number of edge nodes for a network, considering the specific performance requirements of the system. © 2024 IEEE.

关键词： Cloud computing Data Aggregation Data Load Edge computing internet of things

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Intelligent Monitoring and Managing of Edge Devices 5

Intelligent Monitoring and Managing of Edge Devices

引用

5th international conference on Electronics and Sustainable Communication Systems, ICESC 2024

作者： Sheetal, Attar Mahay Jenolin Rex, M. Ravi, Rohit Madakari Nayaka, H.M. Tejas, S. Bhat, Venkatesh M. Cmr Institute of Technology Department of Cse Bengaluru India Mahendra College of Engineering Department of Cse Salem India Srm Institute of Science and Technology Dept of Computing Technologies Chennai Kattankulathur India

ISBN: (纸本)9798350379945

this research study introduces a new method for extracting insights, making predictions, and managing industrial IoT and edge devices using the reliable OPC-UA (Open Platform Communication Unified Architecture) protocol. It emphasizes the significance of this approach in tackling the difficulties encountered by industries, research institutions, and individual researchers in monitoring real-time data, identifying patterns, and overseeing remote devices. through the utilization of the OPC-UA protocol, the proposed solution provides a cost-effective and effective way to accomplish these goals. © 2024 IEEE.

关键词： Automation Edge Devices Insights internet Of things Open Platform Communication Unified Architecture Prediction Remote Device Control

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