The resources in a grid are distributed in multiple autonomic domains. Hence, it’s always a time consuming process to perform the resource co-allocation in grids especially for parallel jobs due to the diversity of local domain policies and the dynamic resource workloads. Even worse, the resource competing among multiple parallel jobs may result in resource allocation deadlock. In this paper, a novel synchronized resource co-allocation model for cross-domain parallel jobs, called virtual job model (VJM), is proposed. VJM uses virtual jobs to co-reserve the earliest available resources for real parallel jobs with considering the local resource policies and the current resource availability in multiple domains. The co-reservation algorithm im...
Although virtualization technologies have recently gained a lot of interest in Grid computing as the...
We present a new algorithm for resource allocation in large, heterogeneous grids. Its main advantage...
Research interest in Grid computing has grown significantly over the past five years. Management of ...
Tasks running in computational Grids may require simultaneous access to multiple resources. To ensur...
Tasks running in computational Grids may require multiple types of resources simultaneously. Thus, c...
In this report we demonstrate the potential utility of re-source allocation management systems that ...
Also available as LIP Research Report 2006-01 and INRIA Research Report RR-5815One of the true chall...
The increasing needs for computational power in areas such as weather simulation, genomics or Intern...
Computational grids have the potential for solving large-scale scientific problems using heterogeneo...
One of the true challenges in resource management in grids is to provide support for co-allocation, ...
Author name used in this publication: K. W. Chau2006-2007 > Academic research: refereed > Publicatio...
Parallel applications can speed up their execution by accessing resources hosted by multiple autonom...
(ENG) In this report we demonstrate the potential utility of resource allocation management systems ...
In this paper, we present a bandwidth-centric parallel job communication model that takes into accou...
Abstract—Computational grids have the potential for solving large-scale scientific problems using he...
Although virtualization technologies have recently gained a lot of interest in Grid computing as the...
We present a new algorithm for resource allocation in large, heterogeneous grids. Its main advantage...
Research interest in Grid computing has grown significantly over the past five years. Management of ...
Tasks running in computational Grids may require simultaneous access to multiple resources. To ensur...
Tasks running in computational Grids may require multiple types of resources simultaneously. Thus, c...
In this report we demonstrate the potential utility of re-source allocation management systems that ...
Also available as LIP Research Report 2006-01 and INRIA Research Report RR-5815One of the true chall...
The increasing needs for computational power in areas such as weather simulation, genomics or Intern...
Computational grids have the potential for solving large-scale scientific problems using heterogeneo...
One of the true challenges in resource management in grids is to provide support for co-allocation, ...
Author name used in this publication: K. W. Chau2006-2007 > Academic research: refereed > Publicatio...
Parallel applications can speed up their execution by accessing resources hosted by multiple autonom...
(ENG) In this report we demonstrate the potential utility of resource allocation management systems ...
In this paper, we present a bandwidth-centric parallel job communication model that takes into accou...
Abstract—Computational grids have the potential for solving large-scale scientific problems using he...
Although virtualization technologies have recently gained a lot of interest in Grid computing as the...
We present a new algorithm for resource allocation in large, heterogeneous grids. Its main advantage...
Research interest in Grid computing has grown significantly over the past five years. Management of ...