Information Power Grid: The New Frontier in Parallel Computing?
IEEE Concurrency
ICEIMT '01 Proceedings of the IFIP TC5/WG5.12 International Conference on Enterprise Integration and Modeling Technique: Enterprise Inter- and Intra-Organizational Integration: Building International Consensus
Workflow management in GriPhyN
Grid resource management
ASKALON: a tool set for cluster and Grid computing: Research Articles
Concurrency and Computation: Practice & Experience - Grid Performance
Workflow composer and service registry for grid applications
Future Generation Computer Systems
The Anatomy of the Grid: Enabling Scalable Virtual Organizations
International Journal of High Performance Computing Applications
Performance-Aware Workflow Management for Grid Computing
The Computer Journal
Experiences with GRIA — Industrial Applications on a Web Services Grid
E-SCIENCE '05 Proceedings of the First International Conference on e-Science and Grid Computing
Compiling abstract scientific workflows into web service workflows
SSDBM '03 Proceedings of the 15th International Conference on Scientific and Statistical Database Management
Grid capacity planning with negotiation-based advance reservation for optimized QoS
Proceedings of the 2006 ACM/IEEE conference on Supercomputing
QoS-based scheduling of workflow applications on grids
ACST'07 Proceedings of the third conference on IASTED International Conference: Advances in Computer Science and Technology
An innovative workflow mapping mechanism for Grids in the frame of Quality of Service
Future Generation Computer Systems
Business Relationships in Grid Workflows
GECON '08 Proceedings of the 5th international workshop on Grid Economics and Business Models
Supporting CPU-based guarantees in cloud SLAs via resource-level QoS metrics
Future Generation Computer Systems
Hi-index | 0.00 |
This paper deals with the problem of selecting service instances to execute workflow processes by not only taking into consideration Quality of Service (QoS) constraints, posed by the end-users, but also the business relationships between different service providers. These business / strategic relationships, the providers have, may affect the parameters of the service instances regarding the offered QoS level, and therefore the relationships need to be modeled and expressed with specific metrics. In this paper we present an innovative algorithm that maps workflow processes to service instances by taking into account the aforementioned metrics during the selection process. We also demonstrate the operation of the implemented algorithm and evaluate its effectiveness using a scenario, based on a 3D image rendering application.