Big Data in Cloud Computing: A Resource Management Perspective
Joint Authors
Sikander Hayat Khiyal, Malik
Ullah, Saeed
Awan, M. Daud
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-05-09
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Abstract EN
The modern day advancement is increasingly digitizing our lives which has led to a rapid growth of data.
Such multidimensional datasets are precious due to the potential of unearthing new knowledge and developing decision-making insights from them.
Analyzing this huge amount of data from multiple sources can help organizations to plan for the future and anticipate changing market trends and customer requirements.
While the Hadoop framework is a popular platform for processing larger datasets, there are a number of other computing infrastructures, available to use in various application domains.
The primary focus of the study is how to classify major big data resource management systems in the context of cloud computing environment.
We identify some key features which characterize big data frameworks as well as their associated challenges and issues.
We use various evaluation metrics from different aspects to identify usage scenarios of these platforms.
The study came up with some interesting findings which are in contradiction with the available literature on the Internet.
American Psychological Association (APA)
Ullah, Saeed& Awan, M. Daud& Sikander Hayat Khiyal, Malik. 2018. Big Data in Cloud Computing: A Resource Management Perspective. Scientific Programming،Vol. 2018, no. 2018, pp.1-17.
https://search.emarefa.net/detail/BIM-1214711
Modern Language Association (MLA)
Ullah, Saeed…[et al.]. Big Data in Cloud Computing: A Resource Management Perspective. Scientific Programming No. 2018 (2018), pp.1-17.
https://search.emarefa.net/detail/BIM-1214711
American Medical Association (AMA)
Ullah, Saeed& Awan, M. Daud& Sikander Hayat Khiyal, Malik. Big Data in Cloud Computing: A Resource Management Perspective. Scientific Programming. 2018. Vol. 2018, no. 2018, pp.1-17.
https://search.emarefa.net/detail/BIM-1214711
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1214711