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共 1401 条记录，以下是141-150 订阅

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Integration of Fog computing and Internet of Things: An Useful Overview 2nd

Integration of Fog Computing and Internet of Things: An Usef...

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2nd international conference on Recent Innovations in computing (ICRIC)

作者： Rekha, G. Tyagi, Amit Kumar Anuradha, Nandula Koneru Lakshmaiah Educ Fdn Dept Comp Sci & Engn Guntur 522502 Andhra Pradesh India Lingayas Vidyapeeth Dept Comp Sci & Engn Faridabad 121002 Haryana India

ISBN: (纸本)9783030294076;9783030294069

In the past decade, the evolution of computing has moved from distributed, parallel, grid, cloud, and now to fog computing. The massive amount of data generated by Internet of Things (IoT) devices is growing up exponentially. The flood of information (generated by those IoT/Internet-connected devices) becomes troublesome for data processing and analytical prediction functionality using cloud computation. Several problems have been investigated with cloud computing with respect to latency, limited bandwidth, low Internet connectivity, etc. Here, solution to such problems can be solved by introducing fog computing with powerful functionality of cloud framework, i.e., based on the deployment of fog nodes called microclouds at nearest edge of data sources. Fog computing for big data/IoT data analytics is in evolving phase and requires extensive research to produce more knowledge and smart decisions. This article discusses several basic facts related to fog commuting, challenges in fog computing and opportunities in the near future, in the context of fog big IoT data analytics. In addition, this work also emphasizes the key characteristics in some proposed research works, those make the fog computing as a suitable (useful) platform for new proliferating IoT devices, services, and applications. Most significant fog applications (e.g. healthcare monitoring, smart cities, connected vehicles, and smart grid, etc.) will be discussed here to create a well-organized green and quantum computing paradigm to support the next generation of IoT applications.

关键词： Internet of Things cloud computing Fog computing Big data Data analytics

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The Implementation of Big Data With cloud and Edge computing in Enhancing the Smart grid Information Processes Through Sem Model 2

The Implementation of Big Data With Cloud and Edge Computing...

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2nd international conference on Advance computing and Innovative Technologies in engineering, ICACITE 2022

作者： Chahar, Ankit Christobel, Y. Angeline Ritika Adakane, Prashant K. Sonal, Deepa Tripathi, Vikas R.V. College of Engineering Student Department of Computer Science and Engineering Karnataka Bengaluru India School of Computational Studies Hindustan College of Arts & Science Chennai India G.L Bajaj Institute of Technology & Management It Department Greater Noida India G H Raisoni University Department of Computer Science and Engineering Amravati India Patna Women's College Department of Computer Science Bihar Patna800014 India Graphic Era Deemed to Be University Department of Computer Science & Engineering Uttarakhand Dehradun India

ISBN: (纸本)9781665437899

It is not possible to handle and huge amounts of data using present software programmes and personal computers owing to a lack of appropriate computing power. Manufacturing organisations must either employ cloud computing technology or engage in more current techniques including Edge computing technology if they are to compete in the global market. The SEM model is used to examine the Smart grid Information Processes in this article. Furthermore, it is proposed that the research contributes to the expansion of experience in the discipline of smart meters and Internet of Things acceptability, despite the fact that this is a very rare topic. © 2022 IEEE.

关键词： Smart power grids

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Web-based monitoring alarm system for low-voltage distribution network 2

Web-based monitoring alarm system for low-voltage distributi...

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2nd international conference on cloud computing, Big Data Application and Software engineering, CBASE 2023

作者： Song, Yao Zhu, Kun China Agricultural University College of Information and Electrical Engineering & Information Office Beijing China China Petroleum Engineering Construction Co. Ltd. Beijing China

ISBN: (纸本)9798350331448

Distribution network monitoring is an important part of the Distribution Automation system, Web real-time monitoring system is to reflect the operating conditions of the actual power system, and it needs real-time processing and maintenance for large amounts of data. The traditional C/S mode of distribution system, with the gradual modernization of the distribution system, shows their flaws. Traditional centralized C/S mode of distribution automation systems is changed to distributed B/S mode. The system uses JSP pages technology and new Ajax technology to improve the existing distribution automation of B/S mode monitoring software platform, to achieve real-time monitoring of alarms of distribution network, alarm history record check and other common features of the power monitoring system, to enhance grid monitoring automation management. © 2023 IEEE.

关键词： Electric power distribution

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Survey of failures and fault tolerance in cloud 2

Survey of failures and fault tolerance in cloud

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2nd international conference on computing and Communications Technologies, ICCCT 2017

作者： Prathiba, Soma Sowvarnica, S. Department of Information Technology Sri Sairam Engineering College Chennai India

ISBN: (纸本)9781509062201

cloud computing provides support for hosting client's application. cloud is a distributed platform that provides hardware, software and network resources to both execute consumer's application and also to store and mange user's data. cloud is also used to execute scientific workflow applications that are in general complex in nature when compared to other applications. Since cloud is a distributed platform, it is more prone to errors and failures. In such an environment, avoiding a failure is difficult and identifying the source of failure is also complex. Because of this, fault tolerance mechanisms are implemented on the cloud platform. This ensures that even if there are failures in the environment, critical data of the client is not lost and user's application running on cloud is not affected in any manner. Fault tolerance mechanisms also help in improving the cloud's performance by proving the services to the users as required on demand. In this paper a survey of existing fault tolerance mechanisms for the cloud platform are discussed. This paper also discusses the failures, fault tolerant clustering methods and fault tolerant models that are specific for scientific workflow applications. © 2017 IEEE.

关键词： Surveys

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Application Analysis and Development Strategy of cloud computing Technology in Computer Data Processing 2

Application Analysis and Development Strategy of Cloud Compu...

引用

2nd IEEE international conference on distributed computing and Electrical Circuits and Electronics, ICDCECE 2023

作者： Lina, Liu Changchun Humanities and Sciences College China

ISBN: (纸本)9798350347456

In the past, data processing was completed on a computer or a server. This is because the resources available at that time were limited. However, with the progress of technology, it is possible to use multiple computers and servers to process large amounts of data. This is where cloud computing comes into play. cloud computing allows users to access data from anywhere at any time using an Internet connection. It also reduces the cost of enterprises because they do not have to buy additional hardware or software for each user. Aiming at the problems of single scale of traditional computer data processing and poor degree of adaptive parallel computing, this paper proposes a multi-source information accelerated data processing method of cloud computing technology, analyzes the application of cloud computing technology in computer data processing, and adopts the dynamic optimization technology of cloud computing speed to build a dynamic adjustment model of multi-source information data flow application of cloud computing, so as to reduce the energy cost of cloud computing, Combined with the experience of data processing users, the model can support multi-user computing entity sharing in the cloud to improve the running efficiency of data flow applications and reduce the energy cost of computer data processing. This article first outlines the basic meaning of cloud computing technology, starting with providing conditions for data transmission and sharing, and highlighting the application value of cloud computing technology. It analyzes the trend of cloud computing technology, and combines the modeling of cloud computing technology in computer data processing to propose application countermeasures for cloud computing technology in computer data processing. © 2023 IEEE.

关键词： cloud computing

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A SERVICE INTEGRITY ASSURANCE FRAMEWORK FOR cloud computing BASED ON MAPREDUCE

A SERVICE INTEGRITY ASSURANCE FRAMEWORK FOR CLOUD COMPUTING ...

引用

2nd IEEE international conference on cloud computing and Intelligent Systems (CCIS)

作者： Ren, Yulong Tang, Wen Beijing Univ Posts & Telecommun State Key Lab Networking & Switching Technol Beijing 100876 Peoples R China

ISBN: (纸本)9781467318556;9781467318570

MapReduce is a highly efficient parallel large data sets (greater than 1TB) processing model, widely used in cloud computing environment. The current mainstream cloud computing service providers have adopted Hadoop, the open source MapReduce implementation, to build their cloud computing platform. However, like all open distributed computing frameworks, MapReduce suffers from the service integrity assurance vulnerability: it takes merely one malicious worker to render the overall computation result useless. It is very important to efficiently detect the malicious workers in cloud computing environment. Existing solutions are not effective enough in defeating the malicious behaviour of non-collusive and collusive workers. In this paper, we focus on the mappers, which typically constitute the majority of workers. On the basis of the existing frameworks, we make the master manage the computing workers based on the security levels, and introduce the trusted verifier worker and caching mechanism. According to the system analysis, the service integrity assurance framework suggested in this paper is more efficient and accurate to detect the malicious workers in the cloud computing environment based on MapReduce.

关键词： MapReduce cloud computing Service integrity Malicious workers

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Power grid key data mining based on edge computing 2

Power grid key data mining based on edge computing

引用

2nd international conference on cloud computing and Mechatronic engineering, I3CME 2022

作者： Wang, Yuedong Wang, Wei Sun, Yao Niu, Mingzhu Shi, Cheng State Grid Dalian Electric Power Supply Company Liaoning Dalian116001 China

ISBN: (纸本)9781510657502

In recent years, with the rapid development of smart grid, the situation of user privacy disclosure and communication channel congestion has also intensified. The integration of edge computing and smart grid makes full use of the storage and computing power of cloud computing, while absorbing the real-time and distributed characteristics of edge computing, which solves the problem of communication channel congestion to a certain extent. The edge computing architecture itself still has many security risks, and privacy disclosure is unavoidable. The main research content of this paper is how to realize privacy-preserving and efficient data transmission in smart grid in the edge computing environment with limited computing resources and insecurity. The proposed smart grid data aggregation scheme can effectively protect the privacy of users from being violated, and has low computational and communication overhead. At the same time, it is convenient for service providers to analyze the data and further improve the security and reliability of the smart grid. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Data mining

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Using cloud computing Technology to Promote the Development of Smart Tourism 2

Using Cloud Computing Technology to Promote the Development ...

引用

2nd IEEE international conference on distributed computing and Electrical Circuits and Electronics, ICDCECE 2023

作者： Li, Zhongxue Li, Zeyuan Shanxi Vocational University of Engineering Science and Technology Shanxi Taiyuan030619 China Jinshan Middle School Shanxi Taiyuan030001 China

ISBN: (纸本)9798350347456

Tourism is one of the most important economic sectors in the world. Tourism has become an important part of the global economy and has a positive impact on local, regional and national economies. Tourism also contributes to poverty reduction, environmental protection and cultural diversity protection. In this article, we will discuss how to use cloud computing technology to promote the development of smart tourism. The impact of cloud computing on smart tourism studied in this paper aims to deter-mine the impact of cloud computing on the future smart tourism industry, as well as the overall impact of cloud computing on the industry, and identify some challenges that need to be overcome before the technology can be effectively used for this purpose. © 2023 IEEE.

关键词： Big data

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Security algorithm on cloud Storage System 2

Security algorithm on Cloud Storage System

引用

2nd IEEE international conference on Advances in computing, Communication Control and Networking, ICACCCN 2020

作者： Ojha, Sanjeev Kumar Rai, Himanshu Tripathi, Pramod Narayan Nazarov, Alexey Moscow Institute of Physics and Technology Department of Radio Engineering and Cybernetics Moscow Russia

ISBN: (纸本)9781728183374

The cloud computing basic idea was given by 1960 by Professor John, "The future computers will be just like, the telephone services and according to requirement we use their services"and this computer idea has been play a vital role in industry"[5]. The combination of distributed, grid computing and virtualization is known as cloud computing, and these systems are interconnected group of systems and dynamically provision and offering the one or more unified cloud-computing resources. SLA is known as service level agreement and playing a vital role between clients and service provider. The SLA service level agreement is a negotiation between the users and cloud provider [6]. The cloud service provider's objective is to provide their services, to clients qualitative, more secure, abrupt, scalable, more responsive, cost-efficient, on demand and automatically provisioned services just like: storage services, computation services, network system etc. cloud services are geographically dispersed everywhere throughout the world in a transparent way [5] and help to improve business execution by making a commitment to decrease the expense of conveying IT assets to any association. cloud services implementation helping to reduce in a organization is controlling IT resources the cost. These cloud services demands are day by day rapidly increase as financial model applied in cloud computing is "Pay-per-Use". © 2020 IEEE.

关键词： Dynamic loads

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Cluster, cloud, grid computing via Network Communication Using Control Communication and Monitoring of Smart grid 2

Cluster, Cloud, Grid Computing via Network Communication Usi...

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2nd international conference on Advance computing and Innovative Technologies in engineering, ICACITE 2022

作者： Kumar, Santosh Kumar, N M G Geetha, B.T. Sangeetha, M. Chakravarthi, M. Kalyan Tripathi, Vikas Chandigarh University Department of CSE India Sree Vidyanikethan Engineering College Department of Electrical and Electronics Engineering Tirupathi India Saveetha School of Engineering Simats Department of ECE Tamil Nadu India School of Computing and Information Technology Reva University Bengaluru India School of Electronics Engineering VIT-AP University Amaravathi India Graphic Era Deemed to Be University Department of Computer Science & Engineering Uttarakhand Dehradun India

ISBN: (纸本)9781665437899

Traditional power consumption management systems are not showing enough reliability and thus, smart grid technology has been introduced to reduce the excess power wastages. In the context of smart grid systems, network communication is another term that is used for developing the network between the users and the load profiles. cloud computing and clustering are also executed for efficient power management. Based on the facts, this research is going to identify wireless network communication systems to monitor and control smart grid power consumption. Primary survey-based research has been carried out with 62 individuals who worked in the smart grid system, tracked, monitored and controlled the power consumptions using WSN technology. The survey was conducted online where the respondents provided their opinions via a google survey form. The responses were collected and analyzed on Microsoft Excel. Results show that hybrid commuting of cloud and edge computing technology is more advantageous than individual computing. Respondents agreed that deep learning techniques will be more beneficial to analyze load profiles than machine learning techniques. Lastly, the study has explained the advantages and challenges of using smart grid network communication systems. Apart from the findings from primary research, secondary journal articles were also observed to emphasise the research findings. © 2022 IEEE.

关键词： Wireless sensor networks

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