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

نتاج البحث: منشورات بمستوى مهني › مقالة

8 اقتباسات (Scopus)

ملخص

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.

اللغة الأصلية	الإنجليزيّة
الصفحات	60-68
عدد الصفحات	9
مستوى الصوت	50
رقم	6
منشور متخصص	Computer
المعرِّفات الرقمية للأشياء	https://doi.org/10.1109/MC.2017.163
حالة النشر	نُشِر - 2017
منشور خارجيًا	نعم

الوصول إلى المستند

10.1109/MC.2017.163

الملفات والروابط الأخرى

Link to publication in Scopus

قم بذكر هذا

@misc{5e4ac030a745452c88a45ee944640d29,

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",

pages = "60--68",

journal = "Computer",

issn = "0018-9162",

publisher = "IEEE Computer Society",

}

TY - GEN

T1 - Big Data Analytics beyond the Single Datacenter

AU - Eugster, Patrick

AU - Jayalath, Chamikara

AU - Kogan, Kirill

AU - Stephen, Julian

PY - 2017

Y1 - 2017

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

U2 - 10.1109/MC.2017.163

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

ملخص

الوصول إلى المستند

الملفات والروابط الأخرى

بصمة

قم بذكر هذا