Big data computing and clouds : trends and future directions

Marcos D. Assuncao; Rodrigo N. Calheiros; Silvia Bianchi; Marco A. S. Netto; Rajkumar Buyya

Big data computing and clouds : trends and future directions

Marcos D. Assuncao, Rodrigo N. Calheiros, Silvia Bianchi, Marco A. S. Netto, Rajkumar Buyya

Western Sydney University

Research output: Contribution to journal › Article › peer-review

630 Citations (Scopus)

Abstract

This paper discusses approaches and environments for carrying out analytics on Clouds for Big Data applications. It revolves around four important areas of analytics and Big Data, namely (i) data management and supporting architectures; (ii) model development and scoring; (iii) visualisation and user interaction; and (iv) business models. Through a detailed survey, we identify possible gaps in technology and provide recommendations for the research community on future directions on Cloud-supported Big Data computing and analytics solutions.

Original language	English
Pages (from-to)	3-15
Number of pages	13
Journal	Journal of Parallel and Distributed Computing
Volume	79-80
Publication status	Published - 3 Jun 2015

Bibliographical note

Publisher Copyright:
© 2014 Elsevier Inc. All rights reserved.

Keywords

big data
cloud computing

Cite this

@article{1a2cef5667164590b5d7747b49fadee9,

title = "Big data computing and clouds : trends and future directions",

abstract = "This paper discusses approaches and environments for carrying out analytics on Clouds for Big Data applications. It revolves around four important areas of analytics and Big Data, namely (i) data management and supporting architectures; (ii) model development and scoring; (iii) visualisation and user interaction; and (iv) business models. Through a detailed survey, we identify possible gaps in technology and provide recommendations for the research community on future directions on Cloud-supported Big Data computing and analytics solutions.",

keywords = "big data, cloud computing",

author = "Assuncao, {Marcos D.} and Calheiros, {Rodrigo N.} and Silvia Bianchi and Netto, {Marco A. S.} and Rajkumar Buyya",

year = "2015",

month = jun,

day = "3",

language = "English",

volume = "79-80",

pages = "3--15",

journal = "Journal of Parallel and Distributed Computing",

issn = "0743-7315",

publisher = "Academic Press",

}

TY - JOUR

T1 - Big data computing and clouds : trends and future directions

AU - Assuncao, Marcos D.

AU - Calheiros, Rodrigo N.

AU - Bianchi, Silvia

AU - Netto, Marco A. S.

AU - Buyya, Rajkumar

PY - 2015/6/3

Y1 - 2015/6/3

N2 - This paper discusses approaches and environments for carrying out analytics on Clouds for Big Data applications. It revolves around four important areas of analytics and Big Data, namely (i) data management and supporting architectures; (ii) model development and scoring; (iii) visualisation and user interaction; and (iv) business models. Through a detailed survey, we identify possible gaps in technology and provide recommendations for the research community on future directions on Cloud-supported Big Data computing and analytics solutions.

AB - This paper discusses approaches and environments for carrying out analytics on Clouds for Big Data applications. It revolves around four important areas of analytics and Big Data, namely (i) data management and supporting architectures; (ii) model development and scoring; (iii) visualisation and user interaction; and (iv) business models. Through a detailed survey, we identify possible gaps in technology and provide recommendations for the research community on future directions on Cloud-supported Big Data computing and analytics solutions.

KW - big data

KW - cloud computing

UR - http://handle.westernsydney.edu.au:8081/1959.7/uws:38079

M3 - Article

SN - 0743-7315

VL - 79-80

SP - 3

EP - 15

JO - Journal of Parallel and Distributed Computing

JF - Journal of Parallel and Distributed Computing

ER -

Big data computing and clouds : trends and future directions

Abstract

Bibliographical note

Keywords

Other files and links

Fingerprint

Cite this