Paper Info
Title
Design and Development of an Adaptive Workflow-Enabled Spatial-Temporal Analytics Framework
Abstract
Cloud computing is a suitable platform for execution of complex computational tasks and scientific simulations that are described in the form of workflows. Such applications are managed by Workflow Management System (WfMS). Because existing WfMSs are not able to autonomically provision resources to real-time applications and schedule them while supporting fault tolerance and data privacy, we present a highly-scalable workflow-enabled analytics system that manages inter-dependable analytics tasks adaptively with varying operational requirements on a common platform and enables visualization of multidimensional datasets of real world phenomena. In this paper, we present the architecture of such a WfMS and evaluate it in terms of performance for execution of workflows in Clouds. A real world application of climate-associated dengue fever prediction was evaluated on public, private, and hybrid Clouds and experienced effective speedup in all the environments.
Year
DOI
Venue
2012
10.1109/ICPADS.2012.141
ICPADS
Keywords
Field
DocType
analytics system,workflow management system,real world phenomenon,adaptive workflow-enabled spatial-temporal analytics,cloud computing,inter-dependable analytics tasks adaptively,suitable platform,common platform,real world application,hybrid clouds,climate-associated dengue fever prediction,data privacy,real time systems
Workflow technology,Computer science,Visualization,Workflow engine,Analytics,Information privacy,Workflow,Workflow management system,Cloud computing,Distributed computing
Conference
ISSN
Citations 
PageRank 
1521-9097
3
0.38
References 
Authors
7
7
Name
Order
Citations
PageRank
Xiaorong Li1473.62
Rodrigo N. Calheiros23441141.17
Sifei Lu3344.44
Long Wang4173.27
Henry Palit5514.16
Qin Zheng6301.65
Rajkumar Buyya7232081340.23