Title
A cost-optimal service selection approach for collaborative workflow execution in clouds
Abstract
Today, there has been a strong demand of distributed collaboration in design and manufacturing, due to the acceleration of economic globalization and the popularity of virtual enterprises (VE) model. Because of the characteristics of cloud computing, such as elasticity and on-demand computing, it is promising to deploy and execute collaborative workflows that contain multiple tasks and services such as Computer-Aided Design (CAD) software components on cloud resources for supporting collaboration across enterprises. Specifically, how to cost-effectively select appropriate services to execute workflows within deadlines while without violating multiple constraints becomes an important issue. In this paper, through investigating the practical requirements of collaborative design workflow, we first formulate the issue of the cost-optimal cloud service selection for collaborative workflow executions as a multi-dimensional optimization problem with multiple constraints. Then we propose an effective approach based on genetic algorithms to address this problem for obtaining near-optimal solutions. Based on workload data derived from real-world systems, we conduct experiments which show that our approach outperforms traditional greedy algorithms in finding better solutions and it also provides real-time performance guarantees in real-world cloud computing environments.
Year
DOI
Venue
2016
10.1109/CSCWD.2016.7566013
2016 IEEE 20th International Conference on Computer Supported Cooperative Work in Design (CSCWD)
Keywords
Field
DocType
collaborative workflow,service selection,cloud computing,Infrastructure as a Service
Workflow technology,Computer science,Knowledge management,Utility computing,Component-based software engineering,Workflow management system,Workflow,Genetic algorithm,Cloud testing,Cloud computing,Distributed computing
Conference
ISBN
Citations 
PageRank 
978-1-5090-1916-8
0
0.34
References 
Authors
11
6
Name
Order
Citations
PageRank
Yi Wei122.05
Li Pan23918.95
Dong Yuan376848.06
Shijun Liu412033.80
Lei Wu57317.47
Xiangxu Meng630860.76