In this work, we evaluate the benefits of using Grids with multiple batch systems to improve the performance of multi-component and parameter sweep parallel applications by reduction in queue waiting times. Using different job traces of different loads, job distributions and queue waiting times corresponding to three different queuing policies(FCFS, conservative and EASY backfilling), we conducted a large number of experiments using simulators of two important classes of applications. The first simulator models Community Climate System Model (CCSM), a prominent multi-component application and the second simulator models parameter sweep applications. We compare the performance of the applications when executed on multiple batch systems\ud an...
Grid computing appeared in the mid 1990s with the vision of sharing geographically dispersed large c...
Abstract—In multicluster grid systems, parallel applications may benefit from processor coallocation...
Abstract — The overhead of processing fine-grain tasks on a grid induces the need for batch processi...
Computational grids are increasingly being used for executing large multi-component scientific appli...
Computational grids with multiple batch systems (batch grids) can be powerful infrastructures for ex...
Long running multi-physics coupled parallel applications have gained prominence in recent years. The...
AbstractComputational grids with multiple batch systems (batch grids) can be powerful in-frastructur...
Due to its ability to provide high-performance computing environment, grid has become an important i...
This paper deals with the performance optimization of multiple-task applications in GRID environment...
Main characteristics of desktop grids are the large number of nodes and their heterogeneity. Applica...
Abstract: Despite recent advances, grid and P2P systems remain difficult for many users to bring to ...
Workflow technology has been adopted in scientific domains to orchestrate and automate scientific pr...
The computational Grid provides a promising platform for the efficient execution of parameter sweep ...
The Computational Grid is a promising platform for the efficient execution of parameter sweep applic...
Multicluster Grids have emerged as major execution environments to solve large-scale compute-intensi...
Grid computing appeared in the mid 1990s with the vision of sharing geographically dispersed large c...
Abstract—In multicluster grid systems, parallel applications may benefit from processor coallocation...
Abstract — The overhead of processing fine-grain tasks on a grid induces the need for batch processi...
Computational grids are increasingly being used for executing large multi-component scientific appli...
Computational grids with multiple batch systems (batch grids) can be powerful infrastructures for ex...
Long running multi-physics coupled parallel applications have gained prominence in recent years. The...
AbstractComputational grids with multiple batch systems (batch grids) can be powerful in-frastructur...
Due to its ability to provide high-performance computing environment, grid has become an important i...
This paper deals with the performance optimization of multiple-task applications in GRID environment...
Main characteristics of desktop grids are the large number of nodes and their heterogeneity. Applica...
Abstract: Despite recent advances, grid and P2P systems remain difficult for many users to bring to ...
Workflow technology has been adopted in scientific domains to orchestrate and automate scientific pr...
The computational Grid provides a promising platform for the efficient execution of parameter sweep ...
The Computational Grid is a promising platform for the efficient execution of parameter sweep applic...
Multicluster Grids have emerged as major execution environments to solve large-scale compute-intensi...
Grid computing appeared in the mid 1990s with the vision of sharing geographically dispersed large c...
Abstract—In multicluster grid systems, parallel applications may benefit from processor coallocation...
Abstract — The overhead of processing fine-grain tasks on a grid induces the need for batch processi...