The Open Grid Services Architecture: Where the Grid Meets the Web
IEEE Internet Computing
QoS Support for Time-Critical Grid Workflow Applications
E-SCIENCE '05 Proceedings of the First International Conference on e-Science and Grid Computing
Cost-Based Scheduling of Scientific Workflow Application on Utility Grids
E-SCIENCE '05 Proceedings of the First International Conference on e-Science and Grid Computing
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
Stochastic Workflow Scheduling with QoS Guarantees in Grid Computing Environments
GCC '06 Proceedings of the Fifth International Conference on Grid and Cooperative Computing
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
Scientific Programming - Scientific Workflows
Task Scheduling of Parallel Processing in CPU-GPU Collaborative Environment
ICCSIT '08 Proceedings of the 2008 International Conference on Computer Science and Information Technology
Predictive Runtime Code Scheduling for Heterogeneous Architectures
HiPEAC '09 Proceedings of the 4th International Conference on High Performance Embedded Architectures and Compilers
Power-aware dynamic task scheduling for heterogeneous accelerated clusters
IPDPS '09 Proceedings of the 2009 IEEE International Symposium on Parallel&Distributed Processing
Globus toolkit version 4: software for service-oriented systems
NPC'05 Proceedings of the 2005 IFIP international conference on Network and Parallel Computing
A Workflow Scheduling Algorithm for Optimizing Energy-Efficient Grid Resources Usage
DASC '11 Proceedings of the 2011 IEEE Ninth International Conference on Dependable, Autonomic and Secure Computing
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QoS and energy consumption are two important issues for Cloud computing. In this paper, the authors propose a hybrid resource reservation method to address these two issues for scientific workflows in the high-performance computing Clouds built on hybrid CPU/GPU architecture. As named, this method reserves proper CPU or GPU for executing different jobs in the same workflow based on the profile of execution time and energy consumption of each resource-to-program pair. They have implemented the proposed resource reservation method on a real service-oriented system. The experimental results show that the proposed resource reservation method can effectively maintain the QoS of workflows while simultaneously minimizing the energy consumption of executing the workflows.