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检索条件"任意字段=2022 International Communication Engineering and Cloud Computing Conference, CECCC 2022"

共 9154 条记录，以下是81-90 订阅

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BIoT (Blockchain-based IoT) Framework for Disaster Management 12

BIoT (Blockchain-based IoT) Framework for Disaster Managemen...

引用

12th international conference on cloud computing, Data Science and engineering, Confluence 2022

作者： Kaur, Mandeep Kaur, Pankaj Deep Sood, Sandeep K. Guru Nanak Dev University Regional Campus Jalandhar Engineering And Technology Punjab India National Institute Of Technology Computer Applications Haryana Kurukshetra India

ISBN: (纸本)9781665437011

Disasters have a global influence on human life, the environment, wealth, and infrastructure. Information and communication technologies (ICT) play a significant part in dealing with these calamities by allowing and combining diverse technical efforts to build disaster management systems. The Internet of Things (IoT) and Blockchain have sought tremendous attention throughout the globe and across industries. The significant success with the adoption of IoT and Blockchain in many fields has piqued the interest of many stakeholders in disaster management. This study describes an overview of how IoT and blockchain can enhance the performance of disaster management practices. © 2022 IEEE.

关键词： Blockchain

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A Novel Hybrid GAACO Algorithm for cloud computing using Energy Aware Load Balance Scheduling 12

A Novel Hybrid GAACO Algorithm for Cloud Computing using Ene...

引用

12th international conference on Computer communication and Informatics, ICCCI 2022

作者： Senthil, G.A. Somasundaram, K. Arun, M. Saranya, N. Naga Prabha, R. Babu, D. Vijendra Dept of Electronics and Communication Engineering Chennai India Saveetha School of Engineering Simats Dept of Information Technology Chennai India Panimalar Institute of Technology Dept of Electronics and Communication Engineering Chennai India Meenakshi College of Engineering Dept of Master of Computer Application Chennai India Sri Sairam Institute of Technology Dept of Electronics and Communication Engineering Chennai India Aarupadai Veedu Institute of Technology Vinayaka Mission's Research Foundation Dept of Electronics and Communication Engineering Paiyanoor Chennai India

ISBN: (纸本)9781665480352

The process of spreading workloads and computing resources through one or more servers is cloud load balancing. This method of delivery ensures maximum response time at low throughput. The workload is divided between two or more servers, storage devices, network connectivity or other data centers, thus allowing efficient use of resources and response time for the device. To ensure device cloud performance, an energy-aware operating model is implemented which is used for load balancing. The method describes an energy-optimal operating regime and seeks to optimize the number of servers that run under this regime. To save resources, idle and lightly charged servers are moved to one of the sleeping states. A Genetic Algorithm and Ant Colony Optimization (GAACO) framework for energy-efficient cloud computing is specified based on meta-heuristics inspired by nature, namely novel QoS based on hybrid genetic ant colony, and load scheduling algorithm. The proposed energy-aware QoS load balance scheduling was implemented in an ns3 simulator and the performance was evaluated in terms of packet loss ratio and throughput. © 2022 IEEE.

关键词： Energy utilization

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DV-Hop Localization based energy efficient Algorithm for Wireless Sensor Networks 12

DV-Hop Localization based energy efficient Algorithm for Wir...

引用

12th international conference on cloud computing, Data Science and engineering, Confluence 2022

作者： Kanwar, Vivek Rani, Surekha Kaur, Amandeep Behal, Anil Nath, Debarati Sharma, Neha Chandigarh University Department Of Electronics And Communication Engineering Mohali India Chandigarh University Department Of Computer Science And Engineering Mohali India Chandigarh University Department Of Biosciences Mohali India

ISBN: (纸本)9781665437011

The sensor nodes location is the major problem in designing wireless networks. The data accumulated from the sensors can be used for object tracking and distance measurements. An analytical approach is presented in current paper, utilizing the DV-Hop localization algorithm for object detection and making energy efficient operations. In order to minimizes the localization error, a correction factor has been proposed in reported work. Also, this method calculates the average hop size of the beacon nodes by using unknown nodes which further reduces the overall communication cost of the network. This process reduces energy consumption of the proposed algorithm. Simulation results authenticate that presented scheme outperforms the other techniques available in open literature in terms of energy and localization error. © 2022 IEEE.

关键词： Sensor nodes

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A Review on cloud Cryptography Techniques to Improve Security in E-health Systems 6

A Review on Cloud Cryptography Techniques to Improve Securit...

引用

6th international conference on computing Methodologies and communication, ICCMC 2022

作者： Asha, V. Nirmala, A.P. Bhavani, K. Christi, Aldred Naveen, A. New Horizon College of Engineering Department of MCA Bangalore India New Horizon of College Engineering Department of MCA Bangalore India

ISBN: (纸本)9781665410281

In last few years there has been a rapid growth of innovation in Information Technology which provided a better wellbeing and development in Health care system to adopt E-health. cloud cryptography is the one which is efficient for storing and accessing the patient data in cloud. Even though the cloud computing application has various benefits for healthcare there will be always a security and technology threat that arises over time. As the security and privacy are served as a main priority in the health care system, it is the need of the hour to address the issues in Patient registration, health care center availability, patient data upload, treatment phase, checkup phase and emergency phase. The paper provides analytical review and solution to strengthen the security in cloud database using cryptography, block chain and other technologies. The study also describes the practical challenges and security threats possessed in the database of patients in existing systems. Cryptography in cloud is a good and efficient way that allows securing the data and protection of sensitive data which is present over the cloud. A detail study has been done on the existing systems, and an analysis has been performed to list down the features that are causing the existing cloud systems to lag or fail on large scale while implementation. A model has been proposed based on the review factors which would hopefully be able to eliminate the lacking elements of the existing models. © 2022 IEEE.

关键词： Cryptography

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Fusion of Bag of Visual Words with Neural Network for Human Action Recognition 12

Fusion of Bag of Visual Words with Neural Network for Human ...

引用

12th international conference on cloud computing, Data Science and engineering, Confluence 2022

作者： Anju Latha Nair, S. Megalingam, Rajesh Kannan Amrita Vishwa Vidyapeetham Department Of Electronics And Communication Engineering Amritapuri India

ISBN: (纸本)9781665437011

Recognition of human actions is one of the important tasks in various applications. It finds a number of applications in a range of areas. Some of the challenges confronted are noise that peeps in and shape of the action being performed by the subject. In this paper, a bag-of-visual-words is extracted with the help of Scale Invariant Feature Transform (SIFT) and optical flow. It represents spatial as well as time-dependent feature points. Sobel edge filter and median filtering is used to minimize shadow effect and suppress background noise respectively. The classifier used is multiclass Learning-vector Quantisation-based. The well-known KTH dataset is used as benchmark. © 2022 IEEE.

关键词： Optical flows

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An Edge cloud Resource Scheduling Mechanism in the Space-Air-Terrestrial-Sea Integrated Network 15

An Edge Cloud Resource Scheduling Mechanism in the Space-Air...

引用

15th international conference on communication Software and Networks, ICCSN 2023

作者： Xia, Yichao Li, Jie Wang, Xingwei Wen, Xinbin School of Computer Science and Engineering Northeastern University Shenyang China

ISBN: (纸本)9798350329360

Edge computing enables services and functions that would otherwise be located in the cloud to be moved near the users, providing powerful computing, storage, networking and communication capabilities at the edge of the network. However, edge computing is usually deployed on the ground or in Unmanned Aerial Vehicle (UAV) networks, and how the communication range scales is a key issue. Space-Air-Terrestrial-Sea Integrated Network (SATSIN) aims to provide wide-area connection and efficient processing capability for 5G/6G communication. Among them, satellite network, as the key link to realize global communication connection, has attracted wide attention. In this paper, we study the resource scheduling problem in the context of SATSIN. The goal is to achieve approximate optimal performance and reduce computational delay while considering the constraints of actual satellite communication and satellite force resources. We propose an edge cloud model based on SATSIN environment, in which satellites equipped with computing resources can provide offloading services to users in the communication window. Considering the non-convexity and state space of on-satellite edge cloud resource scheduling problem, we propose an edge computing offloading strategy based on Deep Reinforcement Learning (DRL). Experimental results show that this scheme can improve the system performance and realize dynamic update and offloading decision. © 2023 IEEE.

关键词： Reinforcement learning

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Anomaly Detection framework for efficient sensing in healthcare IoT systems 3

Anomaly Detection framework for efficient sensing in healthc...

引用

3rd IEEE international conference on computing, communication, and Intelligent Systems, ICCCIS 2022

作者： Kumar, Y.R. Sampath Champa, H.N. University of Visvesvaraya College of Engineering Department of Computer Science and Engineering Bengaluru India

ISBN: (纸本)9781665462006

cloud computing and IoT are designed to assist the development of intelligent applications. A novel anomaly detection system could resolve the service composition problem in the dynamic IoT and cloud environment. Thus a framework for monitoring real-time anomalies is suggested to monitor abnormalities in IoT systems. This paper discusses an anomaly detection system for recognizing flaws in an IoT environment. The recommended system utilizes an Entropy Generalized Discriminant Analysis (E-GDA) technique to eliminate the redundant features and the Deep Learning Vector Quantization Correlation-based Mayfly Algorithm (DLVQ-CMA) for the classification of IoT data. Data packets channelized by IoT devices must be analyzed, operation rules must be learned, and management personnel should be reminded when the device performs an abnormal operation to guarantee the safety of the control process. © 2022 IEEE.

关键词： cloud computing

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Overview of Mobile communication Network Architecture based on Federated Learning

Overview of Mobile Communication Network Architecture based ...

引用

2022 international conference on cloud computing, Performance computing, and Deep Learning, CCPCDL 2022

作者： Li, Aihua Liu, Le Wei, Bin Shi, Yuanyuan Wang, Wei Institute of Network and IT Technology China Mobile Research Institute Beijing Beijing100053 China

ISBN: (纸本)9781510655867

Combine federated learning with the mobile network a good opportunity for the introduction of AI technology research and application in the mobile communication *** article proposes a kind of the mobile network architecture based on FL to promote the integration of FL technologies with mobile communication network and to meet the joint modelling needs of users, operators, and industries. And points out some key technologies of the mobile network to illustrate how the mobile network to support FL working. Meanwhile, proposes some use cases to illustrate what possible application scenarios and values, if the FL technology is introduced into the mobile communication network. © 2022 SPIE.

关键词： Wireless networks

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Elliptic Curve Cryptography in cloud Security: A Survey 12

Elliptic Curve Cryptography in Cloud Security: A Survey

引用

12th international conference on cloud computing, Data Science and engineering, Confluence 2022

作者： Anas, Mohammad Imam, Raza Anwer, Faisal Gautam Buddha University School Of Information And Communication Technology Gautam Buddha Nagar India Aligarh Muslim University Department Of Computer Science Aligarh India

ISBN: (纸本)9781665437011

Nowadays, people are using more cloud services than ever before as it provides more storage, collaborative environment, and more security than any other platform. Public Key Cryptography plays a significant role in securing the cloud applications, particularly, Elliptic Curve Cryptography, as its small key size nature is the most suitable aspect in the cloud. Although, many contributions have been made in recent years to enhance the security aspect of Elliptic Curve approaches in cloud service by modifications made in the algorithm or in various algorithm phases, but a review work that integrates recent studies providing research directions is missing in the literature. In this paper, we reviewed recent studies along with the various phases of Elliptic Curve Cryptography, which then follows the data analysis of various approaches and techniques. Several research directions and open research problems are derived that would efficiently assist the future relevant research. © 2022 IEEE.

关键词： Public key cryptography

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Energy Optimization Algorithm to Reduce Power Consumption in cloud Data Center

Energy Optimization Algorithm to Reduce Power Consumption in...

引用

2022 IEEE international conference on Advances in computing, communication and Applied Informatics, ACCAI 2022

作者： Kanagasubaraja, S. Hema, M. Valarmathi, K. Kumar, Naveen Kumar, Bala Pradeep M Balaji, N. Easwari Engineering College Chennai India

ISBN: (纸本)9781665495295

In the IT industry, cloud Technology has ushered in a revolution. The sole drawback of a cloud environment is the high power consumption. As a result, to improve the efficiency of the cloud environment, cloud servers must be able to execute more work at the same time while using less power. The majority of existing energy optimization algorithms set an upper and lower threshold for underload and overload detection, lowering energy usage while lowering performance. Using the Energy Optimization Algorithm, we primarily focus on optimizing energy without sacrificing performance in this study (EOA). We identify the overload in our approach by looking at the entire workload utilization of the data center. The performance-to-power ratio is improved with this approach. Reduced live migration of virtual machines is required to achieve high throughput. The primary goal of this EOA is to reduce the number of live migrations while maintaining performance. © 2022 IEEE.

关键词： Electric power utilization

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