Allocating Modules to Processors in a Distributed System
IEEE Transactions on Software Engineering
WebWork: METEOR_2‘s Web-Based Workflow Management System
Journal of Intelligent Information Systems - Special issue on workflow management systems
A reference architecture for workflow management systems
Data & Knowledge Engineering
Efficient Scheduling Algorithms for Real-Time Multiprocessor Systems
IEEE Transactions on Parallel and Distributed Systems
Developing scientific workflows from heterogeneous services
ACM SIGMOD Record
Task scheduling strategies for workflow-based applications in grids
CCGRID '05 Proceedings of the Fifth IEEE International Symposium on Cluster Computing and the Grid (CCGrid'05) - Volume 2 - Volume 02
Workflows for e-Science: Scientific Workflows for Grids
Workflows for e-Science: Scientific Workflows for Grids
Pegasus: A framework for mapping complex scientific workflows onto distributed systems
Scientific Programming
Scheduling strategies for mapping application workflows onto the grid
HPDC '05 Proceedings of the High Performance Distributed Computing, 2005. HPDC-14. Proceedings. 14th IEEE International Symposium
Future Generation Computer Systems
Metadata Management in the Taverna Workflow System
CCGRID '08 Proceedings of the 2008 Eighth IEEE International Symposium on Cluster Computing and the Grid
Enhancing a strategy of virtualized resource assignment in adaptive resource cloud framework
Proceedings of the 7th International Conference on Ubiquitous Information Management and Communication
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Nowadays, there are many scientific applications that consist of complex processes and services distributed across the different location. In order to meet user QoS, effective workflow scheduling is a key concern to be overcome for the execution of workflow applications in Grid. Thus, in this paper, we propose the adaptive resource management system that includes management functions for integrating workflow management with resource management system. In order to show the effectiveness of the proposed adaptive management framework, we implement OSICC (e-Organ Simulator Integrated Collaborative Computing) system that performs accurate and reliable simulation of the toxicity prediction for drug discovery. Furthermore, the experimental results showed that users could reduce simulation time in their drug discovery through the OSICC system.