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1281por Obour Agyekum, Kwame Opuni-Boachie, Xia, Qi, Sifah, Emmanuel Boateng, Gao, Jianbin, Xia, Hu, Du, Xiaojiang, Guizani, Moshen“…Access and utilization of data are central to the cloud computing paradigm. With the advent of the Internet of Things (IoT), the tendency of data sharing on the cloud has seen enormous growth. …”
Publicado 2019
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1282“…CONCLUSION: HRTLS has great importance in healthcare systems and its efficiency in medical centers is reliable; hence, it seems necessary to determine the organization’s requirements, apply novel technologies such as cloud computing and Internet of things, and integrate them to get access to maximum advantages in Iranian healthcare centers.…”
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1283“…Fog computing is an extended version of the cloud computing paradigm, which is suitable for reliable, delay-sensitive life-critical applications. …”
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1284“…Wireless sensor networks (WSN) generally utilize cloud computing to store and process sensing data in real time, namely, cloud-assisted WSN. …”
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1285“…To address the above problems, in the work, we present a privacy-preserving multi-receiver certificateless broadcast encryption scheme with de-duplication (PMCBED) in the cloud-computing setting based on certificateless cryptography and anonymous broadcast encryption. …”
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1286por Vragniau, Charles, Bufton, Joshua C., Garzoni, Frédéric, Stermann, Emilie, Rabi, Fruzsina, Terrat, Céline, Guidetti, Mélanie, Josserand, Véronique, Williams, Matt, Woods, Christopher J., Viedma, Gerardo, Bates, Phil, Verrier, Bernard, Chaperot, Laurence, Schaffitzel, Christiane, Berger, Imre, Fender, Pascal“…We used cryo–electron microscopy at near-atomic resolution and implemented novel, cost-effective, high-performance cloud computing to reveal architectural features in unprecedented detail. …”
Publicado 2019
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1287por Patra, Subhadeep, Manzoni, Pietro, T. Calafate, Carlos, Zamora, Willian, Cano, Juan-Carlos“…Fog computing, an extension of the Cloud Computing paradigm where routers themselves may provide the virtualisation infrastructure, aims at achieving fluidity when distributing in-network functions, in addition to allowing fast and scalable processing, and exchange of information. …”
Publicado 2019
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1288“…On-demand resource provisioning and elasticity are two of the main characteristics of the cloud computing paradigm. As a result, the load on a cloud service provider (CSP) is not fixed and almost always a number of its physical resources are not used, called spare resources. …”
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1289“…With the advancement of cloud computing and fog computing, more and more services and data are being moved from local servers to the fog and cloud for processing and storage. …”
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1290“…In this paper we propose a new approach to the development of smart sensors using IoT and cloud computing, which open new interesting possibilities in analytical chemistry. …”
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1291“…The mobile edge computing architecture successfully solves the problem of high latency in cloud computing. However, current research focuses on computation offloading and lacks research on service caching issues. …”
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1292“…For example, industrial Internet of things systems and mobile healthcare systems rely on cloud computing’s powerful data storage and processing capabilities to address the storage, provision, and maintenance of massive amounts of industrial and medical data. …”
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1293“…In this article we combine Physically Unclonable Function (PUF) hardware (using Field Programmable Gate Arrays—FPGAs), together with a multi-layer approach to cloud computing from the National Institute of Standards and Technology (NIST). …”
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1294“…They use algorithms that are designed to run serially within one compute unit and they can not utilize widely-available high-performance computing (HPC) platforms such as many-core CPUs, GPUs and Cloud-computing services. This paper presents PIRK, a tool to efficiently compute reachable sets for general nonlinear systems of extremely high dimensions. …”
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1295por Pastor-Vargas, Rafael, Tobarra, Llanos, Robles-Gómez, Antonio, Martin, Sergio, Hernández, Roberto, Cano, Jesús“…Internet of Things (IoT) learning involves the acquisition of transversal skills ranging from the development based on IoT devices and sensors (edge computing) to the connection of the devices themselves to management environments that allow the storage and processing (cloud computing) of data generated by sensors. The usual development cycle for IoT applications consists of the following three stages: stage 1 corresponds to the description of the devices and basic interaction with sensors. …”
Publicado 2020
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1296por Jabbar, Rateb, Kharbeche, Mohamed, Al-Khalifa, Khalifa, Krichen, Moez, Barkaoui, Kamel“…Therefore, the main novelty of this paper is to develop a Blockchain-based IoT system in order to establish secure communication and create an entirely decentralized cloud computing platform. Moreover, the authors qualitatively tested the performance and resilience of the proposed system against common security attacks. …”
Publicado 2020
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1297“…While comparing and analyzing the network cost and running time, compared with traditional cloud computing solutions, the ND solution based on FG requires less cost, shorter running time, and has apparent effectiveness and efficiency. …”
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1298“…Recently, with the continuous evolution of information technology, various products such as Building Information, Internet of Things (IoT), Big Data, Cloud Computing and Machine Learning have been developed and have created a lifestyle change. …”
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1299“…This paper proposes an intelligent healthcare system which identifies, monitors, and alerts dengue virus (DeV) infected individuals and other stakeholders in real-time and control the DeV infection outbreak using cloud computing, internet of things and fog computing paradigms. …”
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1300“…In this study, we present an open and synergy framework to produce a global land cover dataset that combines supervised land cover classification and aggregation of existing multiple thematic land cover maps with the Google Earth Engine (GEE) cloud computing platform. On the basis of this method of classification and mosaicking, we derived a global land cover dataset for 6 years over a time span of 25 years. …”
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