LDAP: programming directory-enabled applications with lightweight directory access protocol
LDAP: programming directory-enabled applications with lightweight directory access protocol
Application level scheduling of gene sequence comparison on metacomputers
ICS '98 Proceedings of the 12th international conference on Supercomputing
Allocating independent tasks to parallel processors: an experimental study
Journal of Parallel and Distributed Computing - Special issue on dynamic load balancing
CoG kits: a bridge between commodity distributed computing and high-performance grids
Proceedings of the ACM 2000 conference on Java Grande
Application-level scheduling on distributed heterogeneous networks
Supercomputing '96 Proceedings of the 1996 ACM/IEEE conference on Supercomputing
The AppLeS parameter sweep template: user-level middleware for the grid
Proceedings of the 2000 ACM/IEEE conference on Supercomputing
Scheduling From the Perspective of the Application
HPDC '96 Proceedings of the 5th IEEE International Symposium on High Performance Distributed Computing
Grid Information Services for Distributed Resource Sharing
HPDC '01 Proceedings of the 10th IEEE International Symposium on High Performance Distributed Computing
File and Object Replication in Data Grids
HPDC '01 Proceedings of the 10th IEEE International Symposium on High Performance Distributed Computing
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Computing grid is a promising platform that provides plenty of resource for large scientific computing applications. To achieve the performance of applications in the grid environment, careful resource management is needed. Protein alignment analysis, a typical bio-grid computing application, is a computing intensive, data parallel application, which needs data storage resources and large computing resources. This paper proposes an integrated resource management framework for bio-grid computing. We demonstrate that this kind of applications can benefit from resource management framework.