Paper Info
Title
Parallelization Of Compute Intensive Applications Into Workflows Based On Services In Beesycluster
Abstract
The paper presents an approach for modeling, optimization and execution of workflow applications based on services that incorporates both service selection and partitioning of input data for parallel processing by parallel workflow paths. A compute-intensive workflow application for parallel integration is presented. An impact of the input data partitioning on the scalability is presented. The paper shows a comparison of the theoretical model of workflow execution and real execution times. The execution of this distributed workflow is compared to a highly parallel approach using MPI. Finally, results for an integrated workflow/MPI approach are shown.
Year
DOI
Venue
2011
10.12694/scpe.v12i2.716
SCALABLE COMPUTING-PRACTICE AND EXPERIENCE
Keywords
Field
DocType
workflow management, service selection, data partitioning, parallel computing, numerical integration
Workflow technology,Computer science,Parallel computing,Windows Workflow Foundation,Workflow application,Workflow engine,Workflow,Data partitioning,Workflow management system,Scalability,Distributed computing
Journal
Volume
Issue
ISSN
12
2
1895-1767
Citations 
PageRank 
References 
1
0.37
8
Authors
1
Name
Order
Citations
PageRank
Pawel Czarnul112121.11