Add to ORKGTuning the performance of grid applications is cumbersome because it is very difficult to decide which code to look at. In our previous work we proposed a tool to recommend tasks in a task graph that look most promising for improvement. In the present work we first show how to extract task graphs from real grid applications with the help of SCALASCA, then we evaluate the tool with the OptSched benchmark suite of synthetic schedules. Finally, we present some extensions to the tool to adapt it to some typical situations occuring in practice. 1
An efficient functioning of a complicated and dynamic grid environment requires a resource manager t...
GRID environments are privileged targets for computation-intensive problem solving in areas from wea...
Grid Computing allows scientists and engineers to run compute intensive experiments that were unfeas...
Navigation or dynamic scheduling of applications on computational grids can be improved through the ...
Analysis of algorithms for Grid computing systems before deployment in real Grid infrastructures is ...
We present the design and implementation of a general task monitoring and steering system for Grid a...
Scheduling in metacomputing environments is an active field of research as the vision of a Computati...
Grid computing promises large scale computing facilities based on distributed systems. Much research...
In this paper we propose an adaptive scheduling approach designed to improve the performance of para...
Thousands of scientific users witness every day inherent instabilities and bottlenecks of large-scal...
The work presented in this Thesis is about scheduling applications in computational Grids. We study ...
International audienceIn this paper, we study the impact of task reallocations/migrations on a Grid ...
In Grid applications the heterogeneity and potential failures of the computing infrastructure poses ...
Application benchmarks can play a key role in analyzing and predicting the performance and scalabili...
Scheduling is an important research topic in Grid computing. This is due to the aim of Grids to offe...
An efficient functioning of a complicated and dynamic grid environment requires a resource manager t...
GRID environments are privileged targets for computation-intensive problem solving in areas from wea...
Grid Computing allows scientists and engineers to run compute intensive experiments that were unfeas...
Navigation or dynamic scheduling of applications on computational grids can be improved through the ...
Analysis of algorithms for Grid computing systems before deployment in real Grid infrastructures is ...
We present the design and implementation of a general task monitoring and steering system for Grid a...
Scheduling in metacomputing environments is an active field of research as the vision of a Computati...
Grid computing promises large scale computing facilities based on distributed systems. Much research...
In this paper we propose an adaptive scheduling approach designed to improve the performance of para...
Thousands of scientific users witness every day inherent instabilities and bottlenecks of large-scal...
The work presented in this Thesis is about scheduling applications in computational Grids. We study ...
International audienceIn this paper, we study the impact of task reallocations/migrations on a Grid ...
In Grid applications the heterogeneity and potential failures of the computing infrastructure poses ...
Application benchmarks can play a key role in analyzing and predicting the performance and scalabili...
Scheduling is an important research topic in Grid computing. This is due to the aim of Grids to offe...
An efficient functioning of a complicated and dynamic grid environment requires a resource manager t...
GRID environments are privileged targets for computation-intensive problem solving in areas from wea...
Grid Computing allows scientists and engineers to run compute intensive experiments that were unfeas...