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Challenges and Opportunities of Resource-Aware Allocation Frameworks for Big data tools in Cloud Computing

R. Rengasamy1 , M.Chidambaram 2

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-12 , Page no. 99-105, Dec-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i12.99105

Online published on Dec 31, 2018

Copyright © R. Rengasamy, M.Chidambaram . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: R. Rengasamy, M.Chidambaram, “Challenges and Opportunities of Resource-Aware Allocation Frameworks for Big data tools in Cloud Computing,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.12, pp.99-105, 2018.

MLA Style Citation: R. Rengasamy, M.Chidambaram "Challenges and Opportunities of Resource-Aware Allocation Frameworks for Big data tools in Cloud Computing." International Journal of Computer Sciences and Engineering 6.12 (2018): 99-105.

APA Style Citation: R. Rengasamy, M.Chidambaram, (2018). Challenges and Opportunities of Resource-Aware Allocation Frameworks for Big data tools in Cloud Computing. International Journal of Computer Sciences and Engineering, 6(12), 99-105.

BibTex Style Citation:
@article{Rengasamy_2018,
author = {R. Rengasamy, M.Chidambaram},
title = {Challenges and Opportunities of Resource-Aware Allocation Frameworks for Big data tools in Cloud Computing},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {12 2018},
volume = {6},
Issue = {12},
month = {12},
year = {2018},
issn = {2347-2693},
pages = {99-105},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3300},
doi = {https://doi.org/10.26438/ijcse/v6i12.99105}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i12.99105}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3300
TI - Challenges and Opportunities of Resource-Aware Allocation Frameworks for Big data tools in Cloud Computing
T2 - International Journal of Computer Sciences and Engineering
AU - R. Rengasamy, M.Chidambaram
PY - 2018
DA - 2018/12/31
PB - IJCSE, Indore, INDIA
SP - 99-105
IS - 12
VL - 6
SN - 2347-2693
ER -

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Abstract

System virtualization is the backbone of Cloud computing has been liberalizing its services to distributed data-intensive platforms such as MapReduce and Hadoop. Cloud computing empowers consumers to access online resources using the internet, from anywhere at any time without considering the underlying hardware, technical management and maintenance problems of the original resources. Cloud services are obtained from data centres which are distributed throughout the world. Big Data Applications with resource aware allocation has become an active research area in last three years. The Hadoop framework has been adopted to work efficiently in cloud computing. System virtualization is the backbone of Cloud computing, has been liberalizing its services to distributed data-intensive platforms such as MapReduce and Hadoop. Cloud computing empowers consumers to access online resources using the internet, from anywhere at any time without considering the underlying hardware, technical management and maintenance problems of the original resources.We present a detail study of various resource allocation and other scheduling challenges as well as frameworks for Hadoop Jobs in Cloud Computing.

Key-Words / Index Term

Hadoop++, Cloud computing, MapReduce, YARN, Resource-allocation

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