Emerging trends, issues and challenges in Internet of Things, Big Data and cloud computing

被引：70

作者：

Kobusinska, Anna ^{[1
]}

Leung, Carson ^{[2
]}

Hsu, Ching-Hsien ^{[3
]}

Raghavendra, S. ^{[4
]}

Chang, Victor ^{[5
,6
]}

机构：

[1] Poznan Univ Tech, Inst Comp Sci, Poznan, Poland

[2] Univ Manitoba, Winnipeg, MB, Canada

[3] Chung Hua Univ, Dept Comp Sci & Informat Engn, Hsinchu, Taiwan

[4] Univ Visvesvaraya, Coll Engn, Dept Comp Sci & Engn, Bangalore, Karnataka, India

[5] Xian Jiaotong Liverpool Univ, Int Business Sch Suzhou, Suzhou, Peoples R China

[6] Xian Jiaotong Liverpool Univ, Res Inst Big Data Analyt, Suzhou, Peoples R China

来源：

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE | 2018年 / 87卷

关键词：

Big Data; Cloud computing; Internet of Things; Data analysis; Cloud computing platforms; Applications and management; OPTIMIZATION; FRAMEWORK; SELECTION; NETWORKS; SYSTEM;

D O I：

10.1016/j.future.2018.05.021

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Although Big Data, IoT and cloud computing are three distinct approaches that have evolved independently, they are becoming more and more interconnected over time. The convergence of IoT, Big Data and clouds provides new opportunities and results in development of new applications in many fields, including business, healthcare, sciences and engineering. At the same time, various challenges are faced during processing and management of massive amounts of data, as well as during their storage in cloud environments. This special issue presents novel research approaches related to Big Data, IOT and cloud computing. It also discusses the encountered problems and open issues. (C) 2018 Published by Elsevier B.V.

引用

页码：416 / 419

页数：4

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