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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...

引用

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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Privacy in internet of things: A Model and Protection Framework 6th

Privacy in Internet of Things: A Model and Protection Framew...

引用

6th international conference on Ambient Systems, Networks and Technologies (ANT) / 5th international conference on Sustainable Energy Information technology (SEIT)

作者： Samani, Afshan Ghenniwa, Hamada H. Wahaishi, Abdulmutalib Univ Western Ontario Elect & Comp Engn London ON Canada United Arab Emirates Univ Coll Informat Technol Al Ain U Arab Emirates

A new form of computation is being evolved to include massive number of diverse set of conventional computing systems, sensors, devices, equipments, software and information services and apps. this new form of computing environment is known as the "internet-of-things" (IoT). the adoption of IoT is fast and the "things" are becoming integral part of people day-to-day life as well as essential elements in the businesses everyday activities and processes. Open characteristics of IoT environments raises privacy concern as "things" are autonomous with some degree of authority to sharing their capabilities and knowledge to fulfil their individual or collective tasks. As such privacy becomes central and an inherit computational aspect of the "things". the work presented here is based on modelling IoT as Cooperative distributed Systems (CDS). It proposes a novel approach of analysing and modelling privacy concepts and concerns. Privacy protection is captured as a form of "sensitive information" management at the interaction level. A privacy protection management framework for CDS at the interaction level is proposed. the application of the framework has been demonstrated by extending Contract Net Protocol (CNP) to support privacy protection for CDS. (C) 2015 Published by Elsevier B.V. this is an open access article under the CC BY-NC-ND license (http://***/licenses/by-nc-nd/4.0/).

关键词： Privacy IoT Cooperative distributed Systems (CDS)

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distributed Semantic Reasoning enabled by Fog computing 12

Distributed Semantic Reasoning enabled by Fog Computing

引用

IEEE Int Congr on Cybermat / 12th IEEE Int Conf on Cyber, Phys and Social Comp (CPSCom) / 15th IEEE Int Conf on Green computing and Communications (GreenCom) / 12th IEEE Int Conf on internet of things (ithings) / 5th IEEE Int Conf on Smart Data

作者： Chien, Yu Hsiang Lin, Fuchun Joseph Natl Chiao Tung Univ Coll Comp Sci Dept Comp Sci Hsinchu Taiwan

ISBN: (纸本)9781728129808

the emergence of various internet of things (IoT) applications has hastened the introduction of Semantics Interoperability (SI). Instead of storing enormous raw data, SI attempts to annotate these data with semantic information (a.k.a. ontology) that can enable smart management of the ever-increasing data generated by IoT. One of the main features of ontology is semantic reasoning for deriving implicit knowledge from explicit context information. Nevertheless, such semantic reasoning in the cloud can be computationally expensive with the gigantic amount of incoming data. In this research, we propose the adoption of "Fog computing" to distribute the procedure of semantic reasoning among a hierarchy of distributed Fog nodes than in a centralized cloud. To verify the effectiveness of our methods, we compare the proposed distributed Fog architecture with a centralized Cloud system based on the use case of elderly care.

关键词： internet of things Fog computing Semantic Reasoning Smart Home Elderly Care oneM2M

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Survey on Trust Establishment in Cloud computing 5

Survey on Trust Establishment in Cloud Computing

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5th international conference on Confluence - the Next Generation Information technology Summit (Confluence)

作者： Raj, Gaurav Sarfaraz, Mohammed Singh, Dheerendra PTU Jalandhar Punjab India Amity Univ Noida India SUSCET Tangoori Punjab India

ISBN: (纸本)9781479942367

Cloud computing has recently appear as a promising hosting platform that performs an smart usage of a collection of services, applications, information and infrastructure composed of pools of computer resources for storage with the ability to provide users dynamically scalable, shared resources over the internet and avoid large forthright fixed costs. However along with these advantages, that is storing of data on the clouds including invaluable information which attracts highly skilled blackhat-hackers thus creating a need for the security to be considered for improving client's trust over the information and services in cloud computing as one of the critical issues. In this survey paper, we have reviewed trust and security relation and proposed an distributed Trust Model as per actors and their role which help us for managing trust over the services provided by any cloud. In our study, we found that as in distributed approach is implemented in our mechanism;it brings better quality of service and client response.

关键词： Accreditation Cloud computing Organizations Security Standards organizations Cloud computing Accreditation Nonprofit Organizations Standards organizations trust Trust Security Clouds Legal Services Organizations

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Privacy computing technology in the context of energy internet 5

Privacy computing technology in the context of energy Intern...

引用

5th international conference on Communications, Information System and Computer Engineering, CISCE 2023

作者： Gong, Yue Chen, Cuiyun Liu, Zhiyu The First Research Institute of the Ministry of Public Security of P.R.C Beijing China

ISBN: (纸本)9798350326796

the power system and other energy systems are constantly cross-integrated, and a new development direction of multi-subject collaboration is gradually formed. Starting from the typical mode of energy internet collaborative optimization, this paper puts forward a preliminary technical scheme for energy internet collaborative optimization considering privacy protection. Aiming at the scenario without a third party, this paper proposes a secure multi-party interactive computing scheme based on the principle of secret sharing, and analyzes the specific characteristics of the scheme when applied to a small number of subject scenarios based on the fully distributed application architecture. Finally, from the aspects of data privacy and computing security, the proposed scheme protects the rights and interests of data owners, reduces the risk of data leakage in energy internet collaborative optimization computing, and realizes reliable privacy protection. © 2023 IEEE.

关键词： Data privacy

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GWO Based Task Allocation for Load Balancing in Containerized Cloud 5

GWO Based Task Allocation for Load Balancing in Containerize...

引用

5th international conference on Inventive Computation Technologies (ICICT)

作者： Patel, Dimple Patra, Manoj Kumar Sahoo, Bibhudatta Natl Inst Technol Dept Comp Sci & Engn Rourkela India

ISBN: (纸本)9781728146850

On-demand provisioning of computing services such as analytics, intelligence, networking, storage, and servers, etc. over the internet is the main function of cloud computing. Several servers are connected in a distributed manner over the internet to execute tasks. Recently, container technology has gained enormous popularity as it can improve overall application performance by providing OS-level virtualization in cloud computing systems. Based on the resources available on server, a server can accommodate more than one container running on it. the process of distributing the incoming requests or user tasks among all available servers in such a way that all the servers will have almost equal workload is called load balancing. In this paper, we proposed a Grey Wolf Optimization(GWO) based technique for load distribution in the containerized cloud and also to reduce the makespan. We have compared our results with the Genetic algorithm and Particle Swarm Optimization(PSO) based algorithm. the experimental result indicate that the GWO based technique is performing better in terms of load balancing and also having reduced makespan.

关键词： Cloud computing Resource Allocation Load Balancing Container Task Scheduling Grey Wolf Optimization

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distributed allocating algorithm based on cloud CPU scheme 5

Distributed allocating algorithm based on cloud CPU scheme

引用

5th international conference on Software Defined Systems, SDS 2018

作者： Razaque, Abdul Yimu, Liu Minjie, Tang Almiani, Muder Al-Rahayfeh, Amer Department of Computer Science New York Institute of Technology United States Department of Computer Information System Al-Hussein Bin Talal University United States

ISBN: (纸本)9781538659007

In recent years, the application of cloud computing in various fields has become a highly debated topic among researches. In cloud computing, distributed computing is universally applied to solve large computing problems with the use of the Cloud CPU. In distributed computing, it needs Software Defined Network (SDN). Based on SDN, it's important to do the dynamic planning of resources at the internet level. Our paper focuses on how to optimize the allocating process. Based on a comprehensive review of recent peer-reviewed research, we set up a unique model DAACC to realize the higher efficiency. the paper asserts that compared with the previous research, the unique model has better consequence to increase the allocation efficiency. © 2018 IEEE.

关键词： Cloud computing

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Energy Efficient Resource Allocation for Heterogeneous Workload in Cloud computing 1

引用

5th international conference on Frontiers in Intelligent computing - theory and Applications (FICTA)

作者： Malik, Surbhi Saini, Poonam Rani, Sudesh PEC Univ Technol Sect 12 Chandigarh 160012 India

ISBN: (数字)9789811031533

ISBN: (纸本)9789811031533;9789811031526

Cloud computing is an internet based technology that provisions the resources automatically on the pay per use basis. With the development of cloud computing, the amount of customers and requirement of resources increases exponentially. In order to balance the load, the tasks must be equally distributed among multiple computing servers thereby, fulfilling Quality of Service (QoS) with maximum profit to cloud service providers. In addition, cloud servers consume huge amount of electrical energy leading to increased expenditure and environment degradation. therefore, certain solutions are needed that results in efficient resource utilization while minimizing the environmental influence. In the paper, we present a survey of load balancing algorithms along with their limitations and propose a framework for an energy efficient resource allocation and load balancing for heterogeneous workload in cloud computing along with the validation of the framework using CloudSim toolkit.

关键词： Cloud computing Energy consumption Fault tolerant Load balancing Resource allocation

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Blockchain-based Federated Learning for Decentralized Energy Management Systems 5

Blockchain-based Federated Learning for Decentralized Energy...

引用

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

作者： Zekiye, Abdulrezzak Özkasap, Öznur Koç University Department of Computer Engineering Istanbul Turkey

ISBN: (纸本)9798350339239

the internet of Energy (IoE) is a distributed paradigm that leverages smart networks and distributed system technologies to enable decentralized energy systems. In contrast to the traditional centralized energy systems, distributed Energy internet systems comprise multiple components and communication requirements that demand innovative technologies for decentralization, reliability, efficiency, and security. Recent advances in blockchain architectures, smart contracts, and distributed federated learning technologies have opened up new opportunities for realizing decentralized Energy internet services. In this paper, we present a comprehensive analysis and classification of state-of-the-art solutions that employ blockchain, smart contracts, and federated learning for the IoE domains. Specifically, we identify four representative system models and discuss their key aspects. these models demonstrate the diverse ways in which blockchain, smart contracts, and federated learning can be integrated to support the main domains of IoE, namely distributed energy trading and sharing, smart microgrid energy networks, and electric and connected vehicle management. Furthermore, we provide a detailed comparison of the different levels of decentralization, the advantages of federated learning, and the benefits of using blockchain for the IoE systems. Additionally, we identify open issues and areas for future research for integrating federated learning and blockchain in the internet of Energy domains. © 2023 IEEE.

关键词： internet of Energy

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distributed real time neural networks in interactive complex systems 08

Distributed real time neural networks in interactive complex...

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5th international conference on Soft computing As Transdisciplinary Science and technology, CSTST '08

作者： Matthieu, Lagarde Pierre, Andry Philippe, Gaussier ETIS CNRS ENSEA Univ. Cergy-Pontoise F-95000 Cergy-Pontoise France

ISBN: (纸本)9781605580463

In this paper, we present two graphical softwares which help the modeling and the simulation of real time, distributed neural networks (NNs). Used in the frame of the development of control architectures for autonomous robots, these softwares allow a real time control and an on-line learning of different behaviors. We present as an illustration two control architectures: the first one allowing a mobile robot to navigate using on-line learning of visual places, and the second one allowing a robotic head to learn to express a given set of emotions during imitation games. Copyright 2008 ACM.

关键词： Neural networks

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