2014-09-15Scientific workflows are a means of defining and orchestrating large, complex, multi-stage computations that perform data analysis, simulation, visualization, etc. Scientific workflows often involve a large amount of data transfers and computations and require efficient optimization techniques to reduce the runtime of the overall workflow. Today, with the emergence of large-scale scientific workflows executing in modern distributed environments such as grids and clouds, the optimization of workflow runtime has introduced new challenges that existing optimization methods do not tackle. Traditionally, many existing runtime optimization methods are confined to the task scheduling problem. They do not consider the refinement of workfl...
Scientific workflows are composed of many fine-grained computational tasks. Generally, a large numbe...
Large-scale data-intensive streaming applications in various science fields feature complex DAG-stru...
The development of grid and workflow technologies has enabled complex, loosely coupled scientific ap...
With the advancement in science and technology numerous complex scientific applications can be exec...
Scientific exploration demands heavy usage of computational resources for large-scale and deep analy...
UnrestrictedThe development of grid and workflow technologies has enabled complex, loosely coupled s...
Many fields of modern science require huge amounts of computation, and workflows are a very popular ...
Scientific workflows have become the primary mechanism for conducting analyses on distributed comput...
Many scientific workflows are composed of fine computational granularity tasks, yet they are compose...
Grid computing is a fundamental technology for large scale distributed resource sharing. Workflow ma...
Abstract—Task clustering has proven to be an effective method to reduce execution overhead and to im...
International audienceLarge-scale scientific experiments are usually supported by scientific workflo...
© 2010 Dr. Suraj PandeyLarge-scale scientific experiments are being conducted in collaboration with ...
Abstract—Stream based data processing model is proven to be an established method to optimize data-i...
This dissertation addresses three key challenges that are characteristic to the online scheduling of...
Scientific workflows are composed of many fine-grained computational tasks. Generally, a large numbe...
Large-scale data-intensive streaming applications in various science fields feature complex DAG-stru...
The development of grid and workflow technologies has enabled complex, loosely coupled scientific ap...
With the advancement in science and technology numerous complex scientific applications can be exec...
Scientific exploration demands heavy usage of computational resources for large-scale and deep analy...
UnrestrictedThe development of grid and workflow technologies has enabled complex, loosely coupled s...
Many fields of modern science require huge amounts of computation, and workflows are a very popular ...
Scientific workflows have become the primary mechanism for conducting analyses on distributed comput...
Many scientific workflows are composed of fine computational granularity tasks, yet they are compose...
Grid computing is a fundamental technology for large scale distributed resource sharing. Workflow ma...
Abstract—Task clustering has proven to be an effective method to reduce execution overhead and to im...
International audienceLarge-scale scientific experiments are usually supported by scientific workflo...
© 2010 Dr. Suraj PandeyLarge-scale scientific experiments are being conducted in collaboration with ...
Abstract—Stream based data processing model is proven to be an established method to optimize data-i...
This dissertation addresses three key challenges that are characteristic to the online scheduling of...
Scientific workflows are composed of many fine-grained computational tasks. Generally, a large numbe...
Large-scale data-intensive streaming applications in various science fields feature complex DAG-stru...
The development of grid and workflow technologies has enabled complex, loosely coupled scientific ap...