Agricultural and Biosystems Engineering Publications
Campus Units
Agricultural and Biosystems Engineering, Computer Science, Center for Survey Statistics and Methodology (CSSM), Virtual Reality Applications Center
Document Type
Article
Publication Version
Submitted Manuscript
Publication Date
2016
Journal or Book Title
Data Science Journal
Abstract
Big Data is permeating through the bigger aspect of human life for scientific and commercial dependencies, especially for massive scale data analytics of beyond the exabyte magnitude. As the footprint of Big Data applications is continuously expanding, the reliability on cloud environments is also increasing to obtain appropriate, robust and affordable services to deal with Big Data challenges. Cloud computing avoids any need to locally maintain the overly scaled computing infrastructure that include not only dedicated space, but the expensive hardware and software also. Several data models to process Big Data are already developed and a number of such models are still emerging, potentially relying on heterogeneous underlying storage technologies, including cloud computing. In this paper, we investigate the growing role of cloud computing in Big Data ecosystem. Also, we propose a novel XCLOUDX {XCloudX, X…X} classification to zoom in to gauge the intuitiveness of the scientific name of the cloud-assisted NoSQL Big Data models and analyze whether XCloudX always uses cloud computing underneath or vice versa. XCloudX symbolizes those NoSQL Big Data models that embody the term “cloud” in their name, where X is any alphanumeric variable. The discussion is strengthen by a set of important case studies. Furthermore, we study the emergence of as-a-Service era, motivated by cloud computing drive and explore the new members beyond traditional cloud computing stack, developed over the last few years.
Access
Open
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Copyright Owner
The Authors
Copyright Date
2016
Language
en
File Format
application/pdf
Recommended Citation
Sharma, Sugam; Tim, U. Sunday; Gadia, Shashi K.; and Wong, Johnny S., "Proliferating Cloud Density through Big Data Ecosystem, Novel XCLOUDX Classification and Emergence of as-a-Service Era" (2016). Agricultural and Biosystems Engineering Publications. 950.
https://lib.dr.iastate.edu/abe_eng_pubs/950
Included in
Bioresource and Agricultural Engineering Commons, Databases and Information Systems Commons, Statistical Methodology Commons
Comments
This is a manuscript of a forthcoming article that will be published as Sharma, Sugam, U. Sunday Tim, Shashi Gadia, and Johnny Wong. "Proliferating Cloud Density through Big Data Ecosystem, Novel XCLOUDX Classification and Emergence of as-a-Service Era." Data Science Journal (2016): 1-20.