Big Data Analytics beyond the Single Datacenter

Patrick Eugster; Chamikara Jayalath; Kirill Kogan; Julian Stephen

doi:10.1109/MC.2017.163

Big Data Analytics beyond the Single Datacenter

Patrick Eugster
, Chamikara Jayalath
, Kirill Kogan
, Julian Stephen

Research output: Contribution to specialist publication › Article

8 Scopus citations

Abstract

Contrary to the notion that all big data can be processed in 'the cloud,' each cloud is tied to one or more datacenters, and cloud implementation details matter when data must be distributed over multiple centers. In these cases, approaches are needed to optimize the application's execution path.

Original language	English
Pages	60-68
Number of pages	9
Volume	50
No	6
Specialist publication	Computer
DOIs	https://doi.org/10.1109/MC.2017.163
State	Published - 2017
Externally published	Yes

Keywords

Amazon EC2
Hadoop
Pig Latin
big data
cloud computing
data analytics
datacenters
geodistributed data
geodistribution

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10.1109/MC.2017.163

Cite this

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title = "Big Data Analytics beyond the Single Datacenter",

abstract = "Contrary to the notion that all big data can be processed in 'the cloud,' each cloud is tied to one or more datacenters, and cloud implementation details matter when data must be distributed over multiple centers. In these cases, approaches are needed to optimize the application's execution path.",

keywords = "Amazon EC2, Hadoop, Pig Latin, big data, cloud computing, data analytics, datacenters, geodistributed data, geodistribution",

author = "Patrick Eugster and Chamikara Jayalath and Kirill Kogan and Julian Stephen",

note = "Publisher Copyright: {\textcopyright} 1970-2012 IEEE.",

year = "2017",

doi = "10.1109/MC.2017.163",

language = "אנגלית",

volume = "50",

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AU - Eugster, Patrick

AU - Jayalath, Chamikara

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AU - Stephen, Julian

PY - 2017

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N2 - Contrary to the notion that all big data can be processed in 'the cloud,' each cloud is tied to one or more datacenters, and cloud implementation details matter when data must be distributed over multiple centers. In these cases, approaches are needed to optimize the application's execution path.

AB - Contrary to the notion that all big data can be processed in 'the cloud,' each cloud is tied to one or more datacenters, and cloud implementation details matter when data must be distributed over multiple centers. In these cases, approaches are needed to optimize the application's execution path.

KW - Amazon EC2

KW - Hadoop

KW - Pig Latin

KW - big data

KW - cloud computing

KW - data analytics

KW - datacenters

KW - geodistributed data

KW - geodistribution

UR - https://www.scopus.com/pages/publications/85020896088

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DO - 10.1109/MC.2017.163

M3 - מאמר בכתב עת

AN - SCOPUS:85020896088

SN - 0018-9162

VL - 50

SP - 60

EP - 68

JO - Computer

JF - Computer

ER -

Big Data Analytics beyond the Single Datacenter

Abstract

Keywords

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