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摘要:
Digital data have become a torrent engulfing every area of business, science and engineering disciplines, gushing into every economy, every organization and every user of digital technology. In the age of big data, deriving values and insights from big data using rich analytics becomes important for achieving competitiveness, success and leadership in every field. The Internet of Things (IoT) is causing the number and types of products to emit data at an unprecedented rate. Heterogeneity, scale, timeliness, complexity, and privacy problems with large data impede progress at all phases of the pipeline that can create value from data issues. With the push of such massive data, we are entering a new era of computing driven by novel and ground breaking research innovation on elastic parallelism, partitioning and scalability. Designing a scalable system for analysing, processing and mining huge real world datasets has become one of the challenging problems facing both systems researchers and data management researchers. In this paper, we will give an overview of computing infrastructure for IoT data processing, focusing on architectural and major challenges of massive data. We will briefly discuss about emerging computing infrastructure and technologies that are promising for improving massive data management.
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文献信息
篇名 Managing Computing Infrastructure for IoT Data
来源期刊 物联网(英文) 学科 工学
关键词 Big DATA Cloud COMPUTING DATA ANALYTICS Elastic SCALABILITY Heterogeneous COMPUTING GPU PCM MASSIVE DATA Processing
年,卷(期) 2014,(3) 所属期刊栏目
研究方向 页码范围 29-35
页数 7页 分类号 TP3
字数 语种
DOI
五维指标
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研究主题发展历程
节点文献
Big
DATA
Cloud
COMPUTING
DATA
ANALYTICS
Elastic
SCALABILITY
Heterogeneous
COMPUTING
GPU
PCM
MASSIVE
DATA
Processing
研究起点
研究来源
研究分支
研究去脉
引文网络交叉学科
相关学者/机构
期刊影响力
物联网(英文)
季刊
2161-6817
武汉市江夏区汤逊湖北路38号光谷总部空间
出版文献量(篇)
78
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0
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