Computing

Xiang Cheng; Luoyang Fang; Liuqing Yang; Shuguang Cui

doi:10.1007/978-3-319-96116-3_4

Computing

Xiang Cheng, Luoyang Fang, Liuqing Yang, Shuguang Cui

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

Mobile big data analytics demand high performance computing to accommodate the “5V” features and other distinct characteristics, in order to facilitate potential applications and services. In fact, sequential computing at a single machine cannot fulfill such computational demand over the tremendous amount of data, and a single machine may not even be able to hold the entire dataset in its memory, especially as the Moore’s law is fading nowadays. Therefore, parallel computing over multiple nodes is of great importance in the era of (mobile) big data.

Original language	English (US)
Title of host publication	Wireless Networks(United Kingdom)
Publisher	Springer Science and Business Media B.V.
Pages	35-49
Number of pages	15
DOIs	https://doi.org/10.1007/978-3-319-96116-3_4
State	Published - 2018
Externally published	Yes

Publication series

Name	Wireless Networks(United Kingdom)
ISSN (Print)	2366-1186
ISSN (Electronic)	2366-1445

Bibliographical note

Publisher Copyright:
© 2018, Springer International Publishing AG, part of Springer Nature.

Publisher link

10.1007/978-3-319-96116-3_4

Find It

Find It at U of M Libraries

Cite this

@inbook{5e19b6479e25455b8270948d9a25e8bd,

title = "Computing",

abstract = "Mobile big data analytics demand high performance computing to accommodate the “5V” features and other distinct characteristics, in order to facilitate potential applications and services. In fact, sequential computing at a single machine cannot fulfill such computational demand over the tremendous amount of data, and a single machine may not even be able to hold the entire dataset in its memory, especially as the Moore{\textquoteright}s law is fading nowadays. Therefore, parallel computing over multiple nodes is of great importance in the era of (mobile) big data.",

author = "Xiang Cheng and Luoyang Fang and Liuqing Yang and Shuguang Cui",

note = "Publisher Copyright: {\textcopyright} 2018, Springer International Publishing AG, part of Springer Nature.",

year = "2018",

doi = "10.1007/978-3-319-96116-3_4",

language = "English (US)",

series = "Wireless Networks(United Kingdom)",

publisher = "Springer Science and Business Media B.V.",

pages = "35--49",

booktitle = "Wireless Networks(United Kingdom)",

}

TY - CHAP

T1 - Computing

AU - Cheng, Xiang

AU - Fang, Luoyang

AU - Yang, Liuqing

AU - Cui, Shuguang

PY - 2018

Y1 - 2018

N2 - Mobile big data analytics demand high performance computing to accommodate the “5V” features and other distinct characteristics, in order to facilitate potential applications and services. In fact, sequential computing at a single machine cannot fulfill such computational demand over the tremendous amount of data, and a single machine may not even be able to hold the entire dataset in its memory, especially as the Moore’s law is fading nowadays. Therefore, parallel computing over multiple nodes is of great importance in the era of (mobile) big data.

AB - Mobile big data analytics demand high performance computing to accommodate the “5V” features and other distinct characteristics, in order to facilitate potential applications and services. In fact, sequential computing at a single machine cannot fulfill such computational demand over the tremendous amount of data, and a single machine may not even be able to hold the entire dataset in its memory, especially as the Moore’s law is fading nowadays. Therefore, parallel computing over multiple nodes is of great importance in the era of (mobile) big data.

UR - http://www.scopus.com/inward/record.url?scp=85107080536&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85107080536&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-96116-3_4

DO - 10.1007/978-3-319-96116-3_4

M3 - Chapter

AN - SCOPUS:85107080536

T3 - Wireless Networks(United Kingdom)

SP - 35

EP - 49

BT - Wireless Networks(United Kingdom)

PB - Springer Science and Business Media B.V.

ER -

Computing

Abstract

Publication series

Bibliographical note

Publisher link

Find It

Other files and links

Fingerprint

Cite this