Euro-Par 2013 Parallel Processing

[1]  Olivier Commowick,et al.  MRI Estimation of T 1 Relaxation Time Using a Constrained Optimization Algorithm , 2012, MBIA.

[2]  Tristan Glatard,et al.  A Science-Gateway Workload Archive to Study Pilot Jobs, User Activity, Bag of Tasks, Task Sub-steps, and Workflow Executions , 2012, Euro-Par Workshops.

[3]  Tristan Glatard,et al.  Self-Healing of Operational Workflow Incidents on Distributed Computing Infrastructures , 2012, 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012).

[4]  Jin Shao,et al.  A Performance Guarantee Approach for Cloud Applications Based on Monitoring , 2011, 2011 IEEE 35th Annual Computer Software and Applications Conference Workshops.

[5]  Waheed Iqbal,et al.  Adaptive resource provisioning for read intensive multi-tier applications in the cloud , 2011, Future Gener. Comput. Syst..

[6]  Péter Kacsuk,et al.  P‐GRADE portal family for grid infrastructures , 2011, Concurr. Comput. Pract. Exp..

[7]  Manoj Kumar Mishra,et al.  Grouping-Based Job Scheduling Model In Grid Computing , 2010 .

[8]  Rajkumar Buyya,et al.  On-Line Task Granularity Adaptation for Dynamic Grid Applications , 2010, ICA3PP.

[9]  Teck Chaw Ling,et al.  A Bandwidth-Aware Job Grouping-Based Scheduling on Grid Environment , 2009 .

[10]  Quan Liu,et al.  Grouping-Based Fine-Grained Job Scheduling in Grid Computing , 2009, 2009 First International Workshop on Education Technology and Computer Science.

[11]  Rajkumar Buyya,et al.  Market-Oriented Cloud Computing: Vision, Hype, and Reality for Delivering IT Services as Computing Utilities , 2008, 2008 10th IEEE International Conference on High Performance Computing and Communications.

[12]  Johan Montagnat,et al.  Flexible and Efficient Workflow Deployment of Data-Intensive Applications On Grids With MOTEUR , 2008, Int. J. High Perform. Comput. Appl..

[13]  C. Eswaran,et al.  An Adaptive And Parameterized Job Grouping Algorithm For Scheduling Grid Jobs , 2008, 2008 10th International Conference on Advanced Communication Technology.

[14]  Daniel S. Katz,et al.  Workflow task clustering for best effort systems with Pegasus , 2008, Mardi Gras Conference.

[15]  Ng Wai Keat,et al.  SCHEDULING FRAMEWORK FOR BANDWIDTH-AWARE JOB GROUPING-BASED SCHEDULING IN GRID COMPUTING , 2006 .

[16]  Albert Y. Zomaya,et al.  Efficient clustering for parallel tasks execution in distributed systems , 2004, 18th International Parallel and Distributed Processing Symposium, 2004. Proceedings..

[17]  Author manuscript, published in "19th International Conference Euro-Par 2013, Aachen: Germany (2013)" Workflow fairness control on online and non-clairvoyant distributed computing platforms , 2013 .

[18]  Rajkumar Buyya,et al.  Task granularity policies for deploying bag-of-task applications on global grids , 2013, Future Gener. Comput. Syst..

[19]  Johan Montagnat,et al.  A Virtual Imaging Platform for Multi-Modality Medical Image Simulation , 2013, IEEE Transactions on Medical Imaging.

[20]  Francisco Brasileiro,et al.  Supporting e-Science Applications on e-Infrastructures: Some Use Cases from Latin America , 2011 .

[21]  Rajkumar Buyya,et al.  A Dynamic Job Grouping-Based Scheduling for Deploying Applications with Fine-Grained Tasks on Global Grids , 2005, ACSW.

[22]  J. Jensen,et al.  Calculation of pressure fields from arbitrarily shaped, apodized, and excited ultrasound transducers , 1992, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.