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Titlebook: Emerging Technologies in Computing; Second International Mahdi H. Miraz,Peter S. Excell,Maaruf Ali Conference proceedings 2019 ICST Institu

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发表于 2025-3-21 17:40:28 | 显示全部楼层 |阅读模式
书目名称Emerging Technologies in Computing
副标题Second International
编辑Mahdi H. Miraz,Peter S. Excell,Maaruf Ali
视频video
丛书名称Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engi
图书封面Titlebook: Emerging Technologies in Computing; Second International Mahdi H. Miraz,Peter S. Excell,Maaruf Ali Conference proceedings 2019 ICST Institu
描述.This book constitutes the refereed conference proceedings of the Second International Conference on Emerging Technologies in Computing, iCEtiC 2019, held in London, UK, in August 2019. The 24 revised full papers were reviewed and selected from 52 submissions and are organized in topical sections covering blockchain and cloud computing, security, wireless sensor networks and Internet of Things, (IoT), FinTech, AI, big data and data analytics..
出版日期Conference proceedings 2019
关键词artificial intelligence; big data; cloud computing; computer networks; computer systems; data communicati
版次1
doihttps://doi.org/10.1007/978-3-030-23943-5
isbn_softcover978-3-030-23942-8
isbn_ebook978-3-030-23943-5Series ISSN 1867-8211 Series E-ISSN 1867-822X
issn_series 1867-8211
copyrightICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019
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Energy Requirement in No-Tillage, service. Different energy models are used with the same configuration and possible solutions are proposed for big data centres that are placed globally by large companies like Amazon, Giaki, Onlive, and Google.
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Steffen Seitz,Volker Prasuhn,Thomas Scholtenool of Offloadees (nearby end-devises; such as Smartphones, tablets, and PC’s), so to achieve minimum latency and improve performance while reducing battery power consumption of the Offloader (end-device that is running the MCCS). SOSE established the edge computing resource by: (1) profiling and pa
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https://doi.org/10.1007/978-1-349-18802-4rrent, followed by Financial Risk, Social Risk, Privacy Risk and Time Risk while Psychological Risk was not found to have any negative effect on the users’ Intention of Use. These findings potentially have implications for stakeholders such as mobile phone manufacturers and banking organisations as
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https://doi.org/10.1007/978-90-313-8024-4uate service quality at the mobile business, the business sector uses electronic service quality measurement to evaluate mobile business services, which results in difficulties in identifying accurate results. Using the theoretical base model of offline service quality “SERVQUAL” and the online serv
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Economic Impact of Resource Optimisation in Cloud Environment Using Different Virtual Machine Alloca service. Different energy models are used with the same configuration and possible solutions are proposed for big data centres that are placed globally by large companies like Amazon, Giaki, Onlive, and Google.
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SOSE: Smart Offloading Scheme Using Computing Resources of Nearby Wireless Devices for Edge Computinool of Offloadees (nearby end-devises; such as Smartphones, tablets, and PC’s), so to achieve minimum latency and improve performance while reducing battery power consumption of the Offloader (end-device that is running the MCCS). SOSE established the edge computing resource by: (1) profiling and pa
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