Paper Info
Title
Data Organization Patterns for Cloud Enterprise Applications
Abstract
With the popularity of cloud computing and SaaS, enterprises are willing to rent various cloud services and use them in their daily work. However, on-premise applications are still widely used inside enterprises. That is to say, to achieve the goal of business collaboration, a cloud service usually need to obtain business data from multiple sources, which include the relevant on-premise applications and other cloud services. In this paper, we study and summarize data organization and management patterns for cloud enterprise applications from different aspects. Based on these patterns, we propose an innovative cloud-based data organization model (CEDM). Compared with traditional ones, it highlights the characters of resource sharing and reuse. Besides, this model is more convenient for tackling complex data synchronization issues in cloud environment.
Year
DOI
Venue
2014
10.1109/APSCC.2014.10
APSCC
Keywords
Field
DocType
data organization pattern, data synchronization, cloud computing, application interoperability, Software-as-a-Service (SaaS)
Data integration,Data science,Data modeling,World Wide Web,Computer science,Data synchronization,Software as a service,Cloud computing security,Data virtualization,Cloud testing,Cloud computing,Distributed computing
Conference
Citations 
PageRank 
References 
0
0.34
5
Authors
5
Name
Order
Citations
PageRank
Yi Wei122.05
Lei Wu27317.47
Shijun Liu312033.80
Li Pan43918.95
Xiangxu Meng530860.76