Paper Info
Title
Towards Cloud-Based Analytics-as-a-Service (CLAaaS) for Big Data Analytics in the Cloud
Abstract
Data Analytics has proven its importance in knowledge discovery and decision support in different data and application domains. Big data analytics poses a serious challenge in terms of the necessary hardware and software resources. The cloud technology today offers a promising solution to this challenge by enabling ubiquitous and scalable provisioning of the computing resources. However, there are further challenges that remain to be addressed such as the availability of the required analytic software for various application domains, estimation and subscription of necessary resources for the analytic job or workflow, management of data in the cloud, and design, verification and execution of analytic workflows. We present a taxonomy for analytic workflow systems to highlight the important features in existing systems. Based on the taxonomy and a study of the existing analytic software and systems, we propose the conceptual architecture of CLoud-based Analytics-as-a-Service (CLAaaS), a big data analytics service provisioning platform, in the cloud. We outline the features that are important for CLAaaS as a service provisioning system such as user and domain specific customization and assistance, collaboration, modular architecture for scalable deployment and Service Level Agreement.
Year
DOI
Venue
2013
10.1109/BigData.Congress.2013.18
BigData Congress
Keywords
DocType
ISSN
software resource,big data analytics,different data,analytic workflows,cloud technology,existing analytic software,analytic workflow system,analytic job,towards cloud-based analytics-as-a-service,required analytic software,big data,data analysis,cloud computing
Conference
2379-7703
ISBN
Citations 
PageRank 
978-0-7695-5006-0
8
0.57
References 
Authors
0
6
Name
Order
Citations
PageRank
Farhana Zulkernine116616.28
Patrick Martin227414.72
Ying Zou333717.98
Michael Bauer4729.60
Femida Gwadry-Sridhar5206.13
Ashraf Aboulnaga6128991.33